JP6635895B2 - Power demand control system, power demand control method, aggregator system, customer power management system, and program - Google Patents

Description

  The present invention relates to a power demand control system, a power demand control method, an aggregator system, a customer power management system, and a program for controlling power demand through a so-called demand response (DR).

  In recent years, the ratio of the amount of power generated by renewable energy such as solar power generation or wind power generation to the total amount of power generation by power supply companies has increased. Since the amount of power generated by renewable energy increases and decreases according to the weather (solar radiation, air flow, etc.), a power supply and demand balance adjustment system that can cope with such fluctuations is required.

  For example, in recent years, as in Patent Literature 1, a demand-response (DR) method in which a consumer consuming power temporarily controls received power (purchased power) according to a change in the amount of power generated by a power supplier. An electric power supply and demand adjustment called "power adjustment" is known.

  Further, regarding this demand response, as disclosed in Patent Document 2, there is known a business called an aggregator, which adjusts the power supply and demand between a power supply business and a plurality of customers. When the aggregator receives a request for the amount of power to be increased / decreased (DR command amount) from the power supply company, the aggregator allocates the request to a plurality of customers as appropriate. For example, an incentive such as a reduction in the electricity rate is given to each customer from the electricity supplier according to the actual result of the change in the amount of electricity (the actual amount of DR) of each customer. In addition, for example, a predetermined reward is paid from the power supplier to the aggregator according to the success rate of the demand response (the actual DR amount / the DR command amount).

  When allocating the DR command amount received from the power supply company to each customer, the aggregator calculates in advance the remaining power of each customer (the amount of power demand suppression and the amount of DR possible). For example, the aggregator periodically obtains status parameters related to power demand from each customer, such as changes in the power consumption of air conditioners and lighting devices over time, changes in the number of users, and the usage status of facilities (such as conference rooms). I do.

  The aggregator accumulates these state parameters, and calculates a model formula for deriving the DR possible amount (surplus) of each customer from the time change of these state parameters and the like. Further, based on the model formula and the state parameter, the possible DR of each customer corresponding to the state parameter is obtained (estimated). Based on the estimated DR possible amount, the aggregator allocates the DR command amount to each customer. For example, the DR command amount of each customer is distributed within a range not exceeding the DR possible amount.

JP 2015-27257 A JP 2013-161144 A

  By the way, as the number of customers under the aggregator, that is, the number of consumers to which the DR command amount is distributed increases, the state parameter (data amount) acquired by the aggregator from each customer increases. Therefore, in consideration of the communication load, instead of always receiving the state parameters from each customer at the same time, there is a case where the state parameters are sequentially acquired from each customer to the aggregator at predetermined time intervals (for example, 4 hours). .

  However, in such a case, the aggregator determines the possible DR amount based on the state parameter with a delay corresponding to the time interval (the state parameter before the DR command time). Such a DR possible amount may deviate from the DR possible amount based on the state parameter at the time of the DR command. Due to this deviation, for example, there is a possibility that a DR command amount exceeding the actual DR possible amount at the time of the DR command is distributed to each customer.

  Therefore, the present invention enables the determination of the validity of the DR possible amount, which is the distribution reference of the DR command amount distributed by the aggregator, thereby enabling the estimation accuracy of the DR possible amount to be improved more than before. It is an object to provide a power demand control system, a power demand control method, an aggregator system, a customer power management system, and a program.

  The present invention is based on a power demand suppression command sent from a power supplier, distributes a power demand suppression command amount to a plurality of customers, an aggregator system, provided to each customer, is distributed from the aggregator system A power management system for performing power management of electric devices provided in each of the customers according to the power demand suppression command amount. The aggregator system, from each of the customer power management systems, sequentially at predetermined time intervals, a database for acquiring state parameters related to the power demand of the electrical equipment, based on the state parameters and a predetermined model formula A first power demand restrainable amount estimating unit for calculating a first power demand restrainable amount for the customer power management system; and the power demand restraining command amount obtained based on the first power demand restrainable amount. And a transmission unit for transmitting to the respective customer power management systems together with a calculation reference state parameter that is the state parameter used for calculating the first power demand suppression possible amount. The customer power management system includes a comparison unit that compares the calculated reference state parameter with a command state parameter that is the state parameter at the time of receiving the power demand suppression command amount.

  In the above invention, the comparison unit may transmit a difference between the calculated reference state parameter and the command state parameter to the aggregator system.

  Further, in the above invention, the model equation used for calculating the first power demand suppression possible amount is transmitted to the customer power management system together with the power demand suppression command amount and the calculation reference state parameter. May be performed. In this case, the customer power management system, based on the command state parameter and the model formula, when the difference between the calculated reference state parameter and the command state parameter exceeds a predetermined threshold, A second power demand suppression possible amount estimating unit for obtaining the second power demand suppression possible amount may be provided.

  Further, in the above invention, when the second power demand controllable amount is equal to or more than the power demand suppression command amount, the customer power management system may perform power management of the electric device based on the power demand suppression command amount. May be provided.

  Further, another embodiment of the present invention is based on a power demand suppression command sent from a power supplier, distributes a power demand suppression command amount to a plurality of customers, an aggregator system, provided in each of the customers, A power management system for performing power management of electrical equipment provided in each customer according to the power demand suppression command amount distributed from the aggregator system; About. The aggregator system, from each of the customer power management systems, sequentially at predetermined time intervals, obtain state parameters related to the power demand of the electrical equipment, based on the state parameters and a predetermined model formula, A first power demand restrainable amount for the customer power management system is calculated, and the power demand restraining command amount obtained based on the first power demand restrainable amount is calculated as the first power demand restrainable amount. Is transmitted to each of the customer power management systems together with the calculated reference state parameter, which is the state parameter used in (1). The customer power management system compares the calculated reference state parameter with a command state parameter that is the state parameter at the time of receiving the power demand suppression command amount.

  Further, another aspect of the present invention is to distribute a power demand suppression command amount to a customer power management system provided for a plurality of consumers based on a power demand suppression command sent from a power supply company, The present invention relates to an aggregator system that causes a customer power management system to execute power management of electric devices provided in each customer according to the power demand suppression command amount. The aggregator system, from each of the customer power management systems, sequentially at predetermined time intervals, a database that acquires state parameters related to the power demand of the electrical equipment, based on the state parameters and a predetermined model formula A first power demand restrainable amount estimating unit for calculating a first power demand restrainable amount for the customer power management system; and the power demand restraining command amount obtained based on the first power demand restrainable amount. As a comparison target with the command-time state parameter that is the state parameter at the reception time point when the customer power management system has received the calculation reference state, which is the state parameter used for calculating the first power demand restrainable amount. A transmission unit that transmits a parameter to the customer power management system together with the power demand suppression command amount. Equipped with a.

  According to another aspect of the present invention, there is provided a customer power management system that performs power management of an electric device in accordance with a power demand suppression command amount distributed by an aggregator system based on a power demand suppression command sent from a power supplier. About the system. The customer power management system, the demand parameter calculated based on a state parameter related to the power demand of the electric device obtained at predetermined time intervals from the customer power management system and a predetermined model formula, The power demand suppression command amount obtained based on the first power demand suppression possible amount for the home power management system and the calculation reference state parameter which is the state parameter used for calculating the first power demand suppression possible amount. , A receiving unit that receives from the aggregator system, and a comparing unit that compares the calculated reference state parameter with a command state parameter that is the state parameter at the time of receiving the power demand suppression command amount.

  In another aspect of the present invention, a computer distributes a power demand suppression command amount to a customer power management system provided for a plurality of customers based on a power demand suppression command sent from a power supplier. The present invention also relates to a program for causing the customer power management system to execute power management of electric devices provided in each of the customers in accordance with the power demand suppression command amount, and to function as an aggregator system. The program, the computer, from each of the customer power management system, sequentially at predetermined time intervals, a database for acquiring state parameters related to the power demand of the electrical equipment, the state parameters, a predetermined model A first power demand restrainable amount estimating unit that calculates a first power demand restrainable amount for the customer power management system based on an equation, and the power demand calculated based on the first power demand restrainable amount The state parameter used for calculating the first power demand suppression possible amount, as a comparison target with the command state parameter which is the state parameter at the time of reception at which the customer power management system receives the suppression command amount. Transmitting a calculated reference state parameter to the customer power management system together with the power demand suppression command amount; A transmission unit, to function as a.

  Further, another aspect of the present invention provides a computer which manages power of an electric device in accordance with a power demand suppression command amount allocated by an aggregator system based on a power demand suppression command sent from a power supplier. It relates to a program for functioning as a home power management system. The program, the computer, the demand parameter calculated based on a predetermined model formula and a state parameter related to the power demand of the electrical device obtained at predetermined time intervals from the customer power management system, The power demand suppression command amount obtained based on the first power demand suppression possible amount for the home power management system and the calculation reference state parameter which is the state parameter used for calculating the first power demand suppression possible amount. And a receiving unit that receives from the aggregator system, and a comparing unit that compares the calculated reference state parameter with the command state parameter that is the state parameter at the time of receiving the power demand suppression command amount.

  ADVANTAGE OF THE INVENTION According to this invention, it becomes possible to judge the validity of the DR possible amount which becomes the reference | standard of DR command amount distribution calculated by an aggregator, and it is possible to improve the estimation accuracy of DR possible amount compared with the past. Becomes

It is a figure which illustrates the electric power system diagram containing the electric power demand suppression system which concerns on this embodiment. It is a figure which illustrates the functional block of an aggregator system. FIG. 2 is a diagram illustrating a hardware configuration of a customer power management system. It is a figure which illustrates the functional block of a consumer power management system. It is a figure which illustrates DR command amount distribution flow (aggregator system side flow 1/2) concerning this embodiment. It is a figure which illustrates DR command amount distribution flow (aggregator system side flow 2/2) concerning this embodiment. It is a figure which illustrates DR command amount distribution flow (consumer power management system side flow 1/2) concerning this embodiment. It is a figure which illustrates the DR command amount distribution flow (consumer power management system side flow 2/2) concerning this embodiment. It is a figure which illustrates the sequence (1/3) at the time of performing DR command amount distribution flow concerning this embodiment. It is a figure which illustrates the sequence (2/3) at the time of performing DR command amount distribution flow concerning this embodiment. It is a figure which illustrates the sequence (3/3) at the time of performing DR command amount distribution flow concerning this embodiment.

<Overall configuration>
FIG. 1 illustrates a power system diagram including the power demand suppression system according to the present embodiment. The power demand suppression system according to the present embodiment includes an aggregator system 10 and a customer power management system 12. Although FIG. 1 shows only two of the customer power management systems 12A and 12B for simplicity of illustration, the present invention is not limited to this. For example, the aggregator system 10 has several tens to several hundreds of customer power management systems 12 under its control (distribution destination).

  The aggregator system 10 enters between a power supply company 14 such as a power company and a plurality of customers, and adjusts a power demand suppression command amount (DR command amount). The aggregator system 10 aggregates the customers and responds to the power demand suppression command from the power supply company 14 based on the sum of the power demand restrainable amounts (surplus capacity, DR possible amount) of each customer. . For example, as described later, the power demand suppression command amount (DR command amount) from the power supply company 14 is transmitted to each customer (the customer power management system 12) within a range not exceeding the DR amount of each customer. Distribute.

  As will be described later, the aggregator system 10, when allocating the DR command amount, together with the DR command amount (power demand suppression command amount), a state vector (state parameter) serving as a calculation reference of the DR possible amount, The model matrix (model formula) is transmitted to each customer power management system.

  The aggregator system 10 is provided, for example, by an energy usage information management operator. That is, for example, the aggregator system 10 is provided to a company that provides an energy support service that centrally manages BEMS (Building and Energy Management System), which is a monitoring and control system of building equipment such as a building, over a plurality of building equipment. Provided.

  The customer power management system 12 is provided in each customer such as a building, and in accordance with the DR command amount distributed from the aggregator system 10, in the customer (building) in which the customer power management system 12 is provided, The power management of the electric device 56 is performed. The customer power management system 12 includes, for example, the above-described BEMS.

  As will be described later, the customer power management system 12 includes a state vector (a state vector (DB) and a calculation reference state parameter) received from the aggregator system 10 and a sensor 58 and the like under the control of the customer power management system 12 at the time of the reception. Is compared with the state vector (the state vector (BEMS), the state parameter at the time of command) acquired from, and it is determined whether or not there is a difference between the two. If there is a divergence, the customer power management system 12 reports the diverged parameters and their differences to the aggregator system 10. The aggregator system 10 adjusts the estimation of the model matrix and the state vector (such as a learning algorithm) based on the difference. As a result, the estimation accuracy of the DR possible amount is improved.

<Details of aggregator system>
The aggregator system 10 enables information communication regarding a demand response between the power supplier 14 and each customer power management system 12. For example, the aggregator system 10 is compliant with OpenADR, which is a demand response protocol, and can communicate with the power supply company 14 and each customer power management system 12 via a network such as the Internet.

  The aggregator system 10 includes, for example, a computer system (computer). As exemplified in the hardware configuration diagram of FIG. 1, the aggregator system 10 includes a CPU 16 (Central Processing Unit), a memory 18, a hard disk drive 20 (HDD), an input unit 22, an output unit 24, and an input / output interface 26. These devices are connected via a system bus.

  The input unit 22 includes input means such as a mouse and a keyboard. The output unit 24 includes a display device such as a display and a printing device such as a printer. The hard disk drive 20 is a storage medium that stores a program for executing a DR command amount distribution flow described below. When the program is executed by the CPU 16, the computer configuring the aggregator system 10 functions as each functional unit illustrated in FIG. Note that the CPU 16 reads a storage medium such as a CD or DVD storing a program for executing the DR command amount distribution flow, and the computer constituting the aggregator system 10 functions as each functional unit illustrated in FIG. May be.

  The functional units of the aggregator system 10 include a DR command receiving unit 28, a command distribution unit 30, a command transmitting unit 32, a data transmitting / receiving unit 34, a performance database 36, a DR possible model learning unit 38, a state vector database 40, and a model matrix database 42. , An external information collecting unit 44, and a DR possible amount estimating unit 46 (first power demand suppressing possible amount estimating unit). These functional units are illustrated independently of each other virtually or for the sake of convenience. For example, respective functional units are configured by appropriately allocating resources of the CPU 16, the memory 18, and the hard disk drive 20.

  The data transmitting and receiving unit 34 receives various information from the customer power management system 12. Specifically, states related to the power demand of the electric devices under the customer power management system 12, such as the power consumption and facility usage obtained from sensors and schedulers under the customer power management system 12. Receive a vector (state parameter).

  Hereinafter, the state vector (state parameter) stored in the state vector database 40 or the result database 36 and the state vector (state parameter) acquired by the customer power management system 12 from a sensor, a scheduler, or the like under the control thereof. , Where appropriate, as described below. That is, the state vector (BEMS) indicates the state vector acquired by the customer power management system 12 from the sensors, schedulers, and the like under the system. In addition, a state vector temporarily stored in the result database 36 or the state vector database 40 is indicated by a state vector (DB).

  In addition, the data transmission / reception unit 34 receives, from the customer power management system 12, the DR redistribution request amount and a difference value between the state vector (DB) and the state vector (BEMS). The difference value is calculated based on a state vector (calculation reference state parameter) used as a reference when the aggregator system 10 calculates the DR possible amount of each customer, and a DR command amount based on the DR possible amount. This is a difference from a state vector (command state vector) at a time point (a time point when the DR command amount is received), and serves as an index indicating the estimation accuracy of the DR possible amount in the aggregator system 10 as described later.

  Further, as described above, there are a plurality of customer power management systems 12A, 12B,... Under the aggregator system 10, and if the state vector (BEMS) is to be simultaneously received from them, the capacity load of the communication line becomes excessive. Become. Therefore, the data transmitting / receiving unit 34 sequentially receives state vectors (BEMS) from the respective customer power management systems 12A, 12B,... At predetermined time intervals. The predetermined time interval, that is, the waiting time from the transmission of the state vector (BEMS) by the predetermined consumer power management system 12 to the aggregator system 10 to the next transmission is, for example, not less than 1 hour and not more than 10 hours. It is determined, for example, 4 hours.

  The performance database 36 stores the state vector (BEMS) acquired from the customer power management system 12 and the difference between the state vector (DB) and the state vector (BEMS). The performance database 36 stores, for example, the state vector (BEMS) of each customer and the difference between the state vectors for the last five years or so.

  The external information collecting unit 44 obtains, for example, a forecast value and a current value of temperature, weather, humidity, and the like as a part of a state vector related to the power demand of each customer from, for example, a business operator permitted to perform an external forecasting operation. I do. Further, these data are transmitted to the DR possible amount model learning unit 38 and the DR possible amount estimation unit 46.

  The DR possible amount model learning unit 38 learns and calculates a model matrix (model formula) for obtaining the DR possible amount of each customer. The DR possible amount model learning unit 38 acquires the state vector (DB) and the difference between the state vector (BEMS) and the state vector (DB) from the performance database 36, and acquires the state such as the weather from the external information collection unit 44. Get parameters. The DR possible amount model learning unit 38 calculates each of the acquired parameters based on a predetermined learning algorithm to calculate a model matrix (model equation). As a learning algorithm, for example, multiple regression modeling for performing repetitive calculation, a multilayer neural network, or the like is repeatedly executed by non-real-time processing.

  The DR possible amount (power demand suppression possible amount), the model matrix (model equation), and the state vector (state parameter) can be expressed as the following equation (1). Further, the following expression (2) is shown as a specific example of the expression (1).

  The model matrix calculated by the DR possible model learning unit 38 is stored in the model matrix database 42. Further, a state vector (DB) (calculation reference state parameter) serving as a base when calculating the model matrix is stored in the state vector database 40.

  Upon receiving the DR possible amount calculation command from the DR command receiving unit 28, the DR feasible amount estimating unit 46 (first power demand suppressing possible amount estimating unit) acquires the latest model matrix from the model matrix database 42. Further, the DR possible amount estimating unit 46 acquires from the state vector database 40 a state vector (DB) that is a calculation reference state vector, which is a base when calculating the acquired model matrix. The DR possible amount estimating unit 46 calculates the DR possible amount (first power demand suppression possible amount) based on the acquired model matrix and the state vector (DB).

  The DR possible amount estimation unit 46 sends the calculated DR possible amount to the command distribution unit 30. In addition, an evaluation function serving as an index for distributing the DR command amount to each customer power management system 12 may be sent to the command distribution unit 30 along with the DR possible amount. The DR possible amount estimating unit 46 transmits the state vector (DB) and the model formula, which are the basis for calculating the DR possible amount, to the data transmitting / receiving unit 34.

  The command distribution unit 30 distributes the DR command amount (the large DR command amount in aggregator units) acquired from the DR command receiving unit 28 to the small DR command amount for each customer power management system 12. The command distribution unit 30 distributes a small DR command amount for each customer power management system 12 based on the DR possible amount obtained from the DR possible amount estimation unit 46 and the evaluation function. For example, by using a method such as linear programming, quadratic programming, or resource allocation based on a generalized inverse matrix, the optimal control problem that minimizes the value of the evaluation function is solved, so that the small DR command amount is allocated. . For example, the evaluation function includes a term whose value decreases when the DR command amount is less than the DR possible amount, and a term whose value decreases as the load on each of the consumer power management systems 12 becomes equal. Terms are weighted as appropriate.

  The evaluation function may include a parameter reflecting the execution history of the DR control. For example, the customer power management system 12 to which the DR command amount has already been allocated is the consumer power management system 12 to which the DR command amount has not been allocated so that the distribution destination of the DR command amount over one month is equal. Weighting is appropriately performed so that the priority is lower than the priority.

  In allocating the DR command amount, if the sum of the DR possible amounts is less than the large DR command amount received from the power supplier 14, the aggregator system 10 reduces the DR command amount to the power supplier 14. May be obtained.

  Note that the DR command amount obtained by the command distribution unit 30 may be different from the DR command amount finally used by the customer power management system 12 when executing the demand response. In order to distinguish between the two, the DR command amount obtained by the command distribution unit 30 will be appropriately referred to as an initial DR command amount below.

  The command distribution unit 30 sends the obtained initial DR command amount to the data transmission / reception unit 34 via the command transmission unit 32. The data transmitting / receiving unit 34 transmits the model matrix and the state vector (BEMS) sent from the DR possible amount estimating unit 46 and the initial DR command amount sent from the command transmitting unit 32 to each customer power management system 12. I do. Further, the start time of the demand response and the like may be transmitted along with the initial DR command amount.

<Details of customer power management system>
FIG. 3 illustrates a hardware configuration diagram of the customer power management system 12. The customer power management system 12 is a BEMS (Building and Energy Management System) which is a monitoring and control system for building equipment such as a building, and conforms to BACnet (Building Automation and Control Networks) which is a building system communication protocol. .

  The customer power management system 12 includes a central device 48, a sub-controller 50, a digital controller 52, a remote station 54, and a sensor 58, and controls various electric devices 56. The electric equipment 56 is various equipment installed in the building, and includes, for example, air conditioners, lighting equipment, sanitary equipment, disaster prevention equipment, crime prevention equipment, and power equipment. Sensor 58 measures at least some of the parameters that make up the state vector. For example, the sensor 58 includes a power meter, a temperature sensor, an illuminance sensor, a flow sensor, and the like.

  The central device 48 is composed of, for example, a so-called B-OWS (BACnet Operator Workstation), and has a function as a client PC that is operated and monitored by monitoring staff or the like, and a function as a server that performs data storage, application processing, and the like. ing. In the central device 48, for example, screen display and setting operation are performed.

  The sub-controller 50 mainly has a control function. The sub-controller 50 communicates with terminal transmission devices such as the digital controller 52 and the remote station 54, and manages point data, schedule control, and the like. For example, one sub-controller 50 is provided for each function-based system (subsystem) such as an air conditioning system, a lighting system, a sanitary system, a security system, and the like.

  The central device 48 and the sub-controller 50 constitute an upper system of the customer power management system 12. In this higher-level system, a plurality of facility devices are collectively controlled. For example, a function such as start / stop control based on an air conditioning schedule is provided.

  The digital controller 52 may be a so-called DDC (Direct Digital Controller), and has a function as a controller for implementing distributed control in BEMS. For example, the digital controller 52 controls the connected electrical device 56 by program control based on a timer setting sent from the sub-controller 50, feedback control based on a target value also sent from the sub-controller 50, or the like. In addition, the digital controller 52 transmits a measurement value of the sensor 58, a warning of the electric device 56, and the like to the above system and another digital controller 52.

  The remote station 54 is also called an out station or a local station, and monitors and controls a sensor 58 and an electric device 56 to which the remote station 54 is connected. Since the function overlaps with the digital controller 52, one of the digital controller 52 and the remote station 54 is appropriately selected according to the electric device 56 or the sensor 58 to be connected.

  The central device 48, the sub-controller 50, the digital controller 52, and the remote station 54 are constituted by computers. For example, each of them includes a CPU 60, a memory 62, a hard disk drive 64, an input unit 66, an output unit 68, and an input / output interface 70.

  For example, the customer power management system 12 employs a so-called vertical distributed control method. For example, the air conditioning schedule created by the central device 48 is stored in the digital controller 52 or the hard disk drive 64 of the remote station 54 via the sub-controller 50. In this way, even if the higher-level system (the central device 48 and the sub-controller 50) goes down, each lower-level system (the digital controller 52, the remote station 54, and the sensor 58) can control each electric device.

  FIG. 4 illustrates functional blocks of the central device 48. The central device 48 includes data transmission / reception units 72A and 72B, a performance database 74, an estimation condition verification unit 76 (comparison unit), a DR possible amount estimation unit 78 (second power demand suppression possible amount estimation unit), and a DR amount adjustment unit 80 ( And a DR command notifying unit 82. These functional units are illustrated independently of each other virtually or for the sake of convenience for easy understanding. For example, when the CPU 60 executes the DR command amount distribution flow program stored in a storage medium such as the hard disk drive 64, the resources of the CPU 60, the memory 62, and the hard disk drive 64 of the computer constituting the central device 48 are appropriately allocated, Each functional unit is configured. The computer constituting the central device 48 may be caused to function as each functional unit by causing the CPU 60 to read a storage medium such as a CD or a DVD in which the DR command amount distribution flow program is stored.

  The data transmission / reception unit 72A receives, from the aggregator system 10, the initial DR command amount and the model matrix and the state vector (DB) on which the calculation is based. Further, it outputs a state vector (BEMS), a difference between the state vector (BEMS) and the state vector (DB), and a DR reallocation request to the aggregator system 10.

  The data transmission / reception unit 72B receives, from the sub-controller 50, a state vector (BEMS) including the state of each electric device, the measurement value of the sensor 58, and the like. Further, the DR amount (determined DR command amount) determined by the central device 48 is transmitted to the sub-controller 50.

  The performance database 74 stores the state vector (BEMS) sent from the sub-controller 50. For example, a constant state vector (BEMS) is transmitted from the sub-controller 50 to the central device 48, and is always stored in the record database 74. The performance database 74 is smaller in size than the performance database 36 of the aggregator system 10, for example, and stores a state vector (BEMS) for the latest one month or so, for example.

  The estimation condition verification unit 76 (comparison unit) verifies the estimation accuracy of the DR possible amount by the aggregator system 10. The estimation condition verification unit 76 receives, from the data transmission / reception unit 72A, the initial DR command amount and the state vector (DB) (calculation reference state parameter) that is the basis for calculating the initial DR command amount. Further, a state vector (BEMS) (command state parameter) at the time of receiving the initial DR command amount is received from the performance database 74.

  Further, the estimation condition verification unit 76 compares the state vector (BEMS) and the state vector (DB) and determines whether or not there is a difference between the two values. Here, the determination of the presence or absence of the deviation may be, for example, determining whether or not the difference value between the two is 0, and determining whether or not the difference value between the two exceeds a predetermined threshold value. It may be. The obtained difference value is sent to the aggregator system 10 via the data transmission / reception unit 72A.

  As described above, in the present embodiment, the customer power management system 12 determines the deviation between the state vector (BEMS) and the state vector (DB), and determines the appropriateness of the DR possible amount in the aggregator system 10 through the determination. are doing.

  If the validity of the DR possible amount is determined in determining the validity of the DR possible amount, advanced arithmetic processing such as examination of the learning process is required. On the other hand, as in the present embodiment, the appropriateness of the DR possible amount is determined by a relatively simple operation of determining the divergence between the state vector (BEMS) and the state vector (DB). The resources (calculation load) that the power management system 12 contributes to the validity determination are relatively reduced.

  If there is no difference between the state vector (BEMS) and the state vector (DB), the DR possible amount obtained based on the state vector (DB) and the model matrix is the DR possible amount (actual Is considered to be accurately estimated. Therefore, when there is no deviation between the state vector (BEMS) and the state vector (DB), the estimation condition verification unit 76 transmits the initial DR command amount to the DR command notification unit 82 as a confirmed DR command amount.

  On the other hand, when a difference is recognized between the state vector (BEMS) and the state vector (DB), the estimation condition verification unit 76 converts the state vector (BEMS) into the DR possible amount estimation unit 78 (second power demand suppression possible). Quantity estimating unit). The DR matrix estimating unit 78 receives a model matrix from the data transmitting / receiving unit 72A. Based on the model matrix and the state vector (BEMS) at the time when the initial DR command amount is received, the DR feasible amount estimating unit 78 calculates the DR possible amount at the time when the initial DR command amount is received (modified DR possible amount, 2 power demand suppression amount).

  The corrected DR possible amount (second power demand suppression possible amount) is sent to the DR amount adjusting unit 80 (determination unit). The initial DR command amount is sent to the DR amount adjustment unit 80 from the data transmission / reception unit 72A. The DR amount adjustment unit 80 determines whether or not the initial DR command amount exceeds the corrected DR amount. When the initial DR command amount falls below the corrected DR possible amount, the initial DR command amount can be consumed by suppressing the power demand of the electric device 56 under the control of the customer power management system 12. Therefore, the DR amount adjustment unit 80 transmits the initial DR command amount to the DR command notification unit 82 as a confirmed DR command amount.

  On the other hand, when the initial DR command amount exceeds the corrected DR possible amount, the entire initial DR command amount cannot be consumed even if the power demand of the electric device 56 under the control of the customer power management system 12 is suppressed. Therefore, the DR amount adjusting unit 80 transmits the corrected DR possible amount to the DR command notifying unit 82 as a confirmed DR command amount. Further, a difference value obtained by subtracting the corrected DR amount from the initial DR command amount is transmitted to the aggregator system 10 via the data transmission / reception unit 72A as a DR redistribution request amount.

<DR command amount distribution flow>
5 and 6 exemplify a flow of DR command amount distribution by the aggregator system 10. The aggregator system 10 receives state vectors (BEMS) sequentially from the plurality of customer power management systems 12, 12,... At predetermined time intervals. Further, the received state vector (BEMS) is stored in the performance database 36 (S10). Next, the external information collecting unit 44 acquires external information such as temperature, humidity, weather, and the like from an external forecasting business permitting business operator or the like (S12).

  The DR possible amount model learning unit 38 calls a state vector (DB) from the performance database 36, acquires external information from the external information collection unit 44, and calculates a model matrix based on these parameters (S14). Further, the DR possible model learning unit 38 stores the model matrix in the model matrix database 42 and the state vector (DB) used for calculating the model matrix in the state vector database 40 (S16).

  Further, the aggregator system 10 determines whether or not the DR command amount has been received from the power supplier 14 (S18). If the DR command amount has not been received, the aggregator system 10 further determines whether a predetermined standby time has elapsed (S20). If the standby time has not elapsed, the process returns to step S18, and steps S18 and S20 are repeated until the standby time elapses or the DR command amount is received.

  After a predetermined standby time has elapsed in step S20, the process returns to step S10, and the model matrix and the state vector (DB) are updated.

  In step S18, when the DR command amount is received from the power supplier 14, the possible DR amount estimation unit 46 calls the latest model matrix from the model matrix database 42. Further, the latest state vector (DB) is called from the state vector database 40, and the DR possible amount is calculated (S22).

  The calculation of the DR possible amount may be performed at the time of updating the model matrix in step S14, instead of using the reception of the DR command amount as a trigger.

  The command distribution unit 30 distributes the (small) DR command amount (initial DR command amount) for each customer power management system 12 based on the DR possible amount, the (large) DR command amount, and the evaluation function (S24). ). Further, the data transmission / reception unit 34 transmits the state vector (DB) and the model matrix serving as the reference for calculating the initial DR command amount and the DR possible amount to each customer power management system 12 (S26).

  After the distribution of the initial DR command amount, the aggregator system 10 determines whether or not the DR redistribution request amount has been received from the customer power management system 12 (S28). When the DR reallocation request amount is received, a reallocation destination is selected from the customer power management system 12 from which the DR reallocation request amount was not transmitted (S30). For example, the customer power management system 12 in which the difference between the DR possible amount and the initial DR command amount is the largest is specified as the reallocation destination. When the redistribution destination is determined, the DR redistribution amount is transmitted to the customer power management system 12 of the redistribution destination (S32).

  After transmitting the DR redistribution amount, and when the DR redistribution request amount has not been received from any of the customer power management systems 12 in step S28, the aggregator system 10 determines whether or not the DR start time has been reached. A determination is made (S34). If the DR start time has not been reached, the flow returns to step S28, and the flow of DR redistribution is executed again.

  When the DR start time has been reached in step S34, DR control is executed (S36). Since the DR control is known, it will be briefly described here. When the DR control is executed, the aggregator system 10 monitors the actual DR amount in each customer power management system 12. When the actual DR amount has not reached the finalized DR command amount, the aggregator system 10 allocates the unreached amount to another customer power management system 12.

  When the DR end time is reached, the aggregator system 10 receives divergence information between the state vector (BEMS) and the state vector (DB) from each customer power management system 12 (S38). The divergence information may simply be a difference value (including 0) between the state vector (BEMS) and the state vector (DB). The DR possible amount model learning unit 38 reflects the divergence information between the state vector (BEMS) and the state vector (DB) in the learning operation of the model matrix (S40). By reflecting the divergence information in the learning calculation of the model matrix, the accuracy of the model matrix and the accuracy of estimating the DR possible amount associated therewith are improved. Therefore, the frequency of occurrence of the DR redistribution request is reduced, and the frequency of communication with the customer power management system 12 is reduced.

  In the present embodiment, transmission / reception of divergence information between the state vector (BEMS) and the state vector (DB) is performed after the end of the DR control. The communication load is reduced as compared with the case where the deviation information is transmitted during the DR control in which the communication frequency between the aggregator system 10 and the consumer power management system 12 increases.

  Further, in addition to reflecting the divergence information between the state vector (BEMS) and the state vector (DB) in the learning operation of the model matrix, the divergence information may be reflected in the evaluation function. For example, referring to the execution history of the DR control, for the customer power management system 12 in which the frequency of deviation between the state vector (BEMS) and the state vector (DB) is high, the prediction of the DR possible amount is relatively relatively low (the frequency of deviation is low). It is considered difficult (as compared to the customer power management system 12). For this reason, the possible DR amount estimating unit 46 lowers the priority as the DR command amount distribution destination for the customer power management system 12 in which the state vector (BEMS) and the state vector (DB) have a high deviation frequency. Thus, the weight of the evaluation function is adjusted.

  7 and 8 exemplify a DR command amount distribution flow in the customer power management system 12 (more specifically, the central device 48). The customer power management system 12 (the central device 48) receives the initial DR command amount, the model matrix and the state vector (DB) used as the calculation reference from the aggregator system 10. Further, in response to this, the latest state vector (BEMS) is called from the performance database 74, and it is determined whether or not the state vector (DB) is equal to the state vector (BEMS) (S50).

  When the state vector (DB) and the state vector (BEMS) are equal, for example, all the parameters (state parameters) in the state vector exemplified in Expression (2) are represented by the state vector (BEMS) and the state vector (DB). If they are equal, the estimation condition verification unit 76 sets the initial DR command amount to the final DR command amount (S52).

  On the other hand, when the state vector (DB) and the state vector (BEMS) are different (different), in other words, when the difference value between the two exceeds the threshold value = 0, the DR feasible amount estimating unit 78 sets the model matrix and the state vector (BEMS). ), The corrected DR possible amount is calculated (S54). Note that the case where the state vector (DB) and the state vector (BEMS) deviate (different) means that at least one of the parameters (state parameters) in the state vector exemplified in Expression (2) is the state vector ( BEMS) and the state vector (DB).

  Next, the DR amount adjustment unit 80 determines whether or not the initial DR command amount is equal to or less than the corrected DR amount (S56). When the initial DR command amount falls below the corrected DR possible amount, the DR amount adjusting unit 80 sets the confirmed DR command amount to the initial DR command amount (S52).

  If the initial DR command amount exceeds the corrected DR possible amount, the DR amount adjusting unit 80 sets the confirmed DR command amount to the corrected DR possible amount (S58). Further, the shortage obtained by subtracting the corrected DR possible amount from the initial DR command amount is transmitted to the aggregator system 10 as the DR redistribution request amount (S60).

  Further, the customer power management system 12 (the central device 48) determines whether or not the DR redistribution request amount has been received from the aggregator system 10 (S62). When receiving the DR redistribution request amount, the DR possible amount estimating unit 78 calculates a corrected DR possible amount (S64). Further, the DR amount adjustment unit 80 determines whether or not the value obtained by adding the DR redistribution amount to the confirmed DR command amount set in step S52 or step S58 is equal to or less than the corrected DR possible amount (S66).

  If the value obtained by adding the DR redistribution amount to the confirmed DR command amount is equal to or less than the corrected DR possible amount, the DR amount adjusting unit 80 sets the value obtained by adding the DR redistribution amount to the confirmed DR command amount to a new finalized DR The command amount is set (S68). On the other hand, when the value obtained by adding the DR redistribution amount to the confirmed DR command amount is less than the corrected DR possible amount, the DR amount adjusting unit 80 sets the corrected DR possible amount to the confirmed DR command amount (S70), The amount is transmitted to the aggregator system 10 as the DR redistribution request amount (S72).

  After transmitting the DR reallocation request amount in step S72, after setting the confirmed DR command amount in step S68, and when the DR reallocation request amount is not received from the aggregator system 10 in step S62, the customer power management The system 12 (central unit 48) determines whether or not the DR start time has been reached (S74). If the DR start time has not been reached, the process returns to step S62.

  When the DR start time has been reached, the customer power management system 12 (central device 48) performs power control of the electric device 56 based on the determined DR command amount (S76). When the DR end time is reached, the customer power management system 12 (central unit 48) reports (transmits) the difference between the state vector (BEMS) and the state vector (DB) to the aggregator system 10 (S78).

<Example>
9 to 11 illustrate a sequence when the DR command distribution flow according to the present embodiment is executed. Note that the steps in FIGS. 9 to 11 correspond to the steps in FIGS.

  The aggregator system 10 receives state parameters from the customer power management systems 12A, 12B, 12C at predetermined time intervals (S10). Further, the external information collecting unit 44 acquires external information such as weather results and weather forecasts (S12). The DR possible model learning unit 38 learns and calculates the parameters of the model matrix based on the state vector (DB) (S14). Further, the calculated model matrix is stored in the model matrix database 42, and the state vector used for calculating the model matrix is stored in the state vector database 40 (S16).

  Upon receiving the DR command from the power supplier 14 (S18), the DR possible amount estimating unit 46 calls the latest model matrix from the model matrix database 42, and calls the latest state vector (DB) from the state vector database 40. The DR possible amount is calculated (S22). Further, the initial DR command amount is distributed based on the DR possible amount (S24). Proceeding to FIG. 10, the allocated initial DR command amount is transmitted to the customer power management systems 12A, 12B, and 12C together with the model formula and the state vector (DB) that are the calculation reference (S26).

  In the customer power management system 12A, the state vector (DB) and the state vector (BEMS) are compared (S50), and a determination is made that there is a deviation. Further, in response to this, the customer power management system 12A calculates the corrected DR possible amount based on the model matrix and the state vector (BEMS) (S54). Further, the initial DR command amount is compared with the corrected DR possible amount (S56), and it is determined that the initial DR command amount exceeds the corrected DR possible amount.

  In response to this, the customer power management system 12A sets the corrected DR possible amount to the confirmed DR command amount (S58) and transmits the shortage ΔA obtained by subtracting the corrected DR possible amount from the initial DR command amount to the aggregator system 10. (S60). After that, it waits until the DR start time.

  In the customer power management system 12B, the state vector (DB) and the state vector (BEMS) are compared (S50), and a determination is made that there is a deviation. Further, in response to this, the customer power management system 12B calculates a corrected DR feasible amount based on the model matrix and the state vector (BEMS) (S54). Further, the initial DR command amount is compared with the corrected DR possible amount (S56), and it is determined that the initial DR command amount is smaller than the corrected DR possible amount.

  In response to this, the customer power management system 12B sets the initial DR command amount to the confirmed DR command amount (S52). After that, it waits until the DR start time.

  In the customer power management system 12C, the state vector (DB) and the state vector (BEMS) are compared (S50), and a determination is made that there is no deviation. Further, in response to this, the customer power management system 12C sets the initial DR command amount to the confirmed DR command amount (S52). After that, it waits until the DR start time.

  The aggregator system 10 proceeds to FIG. 11 to select the reallocation destination of the DR reallocation request amount ΔA (S30) and sets the customer power management system 12B as the reallocation destination (S32). The consumer power management system 12B determines whether the value obtained by adding the DR reallocation request amount ΔA to the latest confirmed DR command amount is equal to or less than the corrected DR possible amount (S66), and is equal to or less than the corrected DR possible amount ( There is no shortage). Accordingly, the customer power management system 12B updates a value obtained by adding the DR reallocation request amount ΔA to the latest confirmed DR command amount as a new confirmed DR command amount (S68).

  Thereafter, when the DR start time is reached, the consumer power management system 12A executes the DR control based on the corrected DR possible amount (S76). In the consumer power management system 12B, the DR control is executed based on the value obtained by adding the DR reallocation request amount ΔA to the latest confirmed DR command amount (S76). In the customer power management system 12C, DR control is executed based on the initial DR command amount (S76).

  When the DR end time is reached, the customer power management systems 12A, 12B, and 12C sequentially transmit divergence information between the state vector (BEMS) and the state vector (DB) to the aggregator system 10 (S78).

  Reference Signs List 10 aggregator system, 12 customer power management system, 14 power supply company, 28 DR command receiving unit, 30 DR command distribution unit, 32 command transmitting unit, 34 data transmitting / receiving unit (transmitting unit) of aggregator system, 36 aggregator system Performance database, 38 DR possible amount model learning unit, 40 state vector database, 42 model matrix database, 44 external information collecting unit, 46 DR possible amount estimating unit of aggregator system (first power demand suppression possible amount estimating unit), 48 center Device, 50 sub-controller, 52 digital controller, 54 remote station, 56 electrical equipment, 58 sensor, 72A, 72B data transmission / reception unit of customer power management system, 74 result database of customer power management system, 76 estimation condition check Part (comparing unit), DR can amount estimation unit 78 demand consumer electronics power management system (second power demand suppressible amount estimation section), 80 DR amount adjuster (determination unit), 82 DR command notification portion.

Claims (9)

An aggregator system that distributes a power demand suppression command amount to a plurality of customers based on a power demand suppression command sent from a power supplier,
A customer power management system that is provided in each customer and performs power management of electric devices provided in each customer according to the power demand suppression command amount distributed from the aggregator system,
A power demand control system comprising:
The aggregator system,
From each of the customer power management systems, sequentially at predetermined time intervals, a database that acquires state parameters related to the power demand of the electric device,
A first power demand restraint amount estimating unit that calculates a first power demand restraint amount for the customer power management system based on the state parameter and a predetermined model formula;
The power demand suppression command amount obtained based on the first power demand suppression possible amount, together with the calculation reference state parameter that is the state parameter used for calculating the first power demand suppression possible amount, A transmission unit for transmitting to the customer power management system;
With
The customer power management system includes a comparison unit that determines the presence or absence of a deviation by comparing the calculation reference state parameter with the command state parameter that is the state parameter at the time of receiving the power demand suppression command amount. Power demand control system. The power demand suppression system according to claim 1,
The power demand suppression system, wherein the comparing unit transmits a difference between the calculation reference state parameter and the command state parameter to the aggregator system. The power demand suppression system according to claim 1 or 2,
The customer power management system, the power demand suppression command amount, and, together with the calculation reference state parameter, the model formula used to calculate the first power demand suppression possible amount is also transmitted,
The consumer power management system, when a difference between the calculated reference state parameter and the command state parameter exceeds a predetermined threshold, a second power demand based on the command state parameter and the model formula. A power demand suppression system including a second power demand suppression possible amount estimating unit for obtaining a suppression possible amount. It is an electric power demand suppression system according to claim 3,
The customer power management system outputs a command to perform power management of the electric device based on the power demand suppression command amount when the second power demand suppression possible amount is equal to or more than the power demand suppression command amount. An electric power demand suppression system including a determination unit. An aggregator system that distributes a power demand suppression command amount to a plurality of customers based on a power demand suppression command sent from a power supplier,
A customer power management system that is provided in each customer and performs power management of electric devices provided in each customer according to the power demand suppression command amount distributed from the aggregator system,
A power demand control method in a power demand control system, comprising:
The aggregator system,
From each of the customer power management systems, sequentially at predetermined time intervals, obtain state parameters related to the power demand of the electrical equipment,
Based on the state parameter and a predetermined model formula, calculate a first power demand suppression possible amount for the customer power management system,
The power demand suppression command amount obtained based on the first power demand suppression possible amount, together with the calculation reference state parameter that is the state parameter used for calculating the first power demand suppression possible amount, To the customer power management system,
The power demand control method, wherein the customer power management system compares the calculated reference state parameter with a command state parameter that is the state parameter at the time of receiving the power demand suppression command amount, and determines whether there is a deviation. . Based on a power demand control command sent from a power supply company, a power demand control command amount is allocated to a customer power management system provided for a plurality of customers, and the power demand control command is transmitted to the customer power management system. An aggregator system for executing power management of electric devices provided in each of the customers according to a demand suppression command amount,
From each of the customer power management systems, sequentially at predetermined time intervals, a database that acquires state parameters related to the power demand of the electric device,
A first power demand restraint amount estimating unit that calculates a first power demand restraint amount for the customer power management system based on the state parameter and a predetermined model formula;
It is determined whether or not there is a deviation from the command-time state parameter, which is the state parameter at the time when the customer power management system receives the power demand suppression command amount obtained based on the first power demand suppression possible amount. For transmitting a calculation reference state parameter, which is the state parameter used for calculating the first power demand suppression possible amount, to the customer power management system together with the power demand suppression command amount as a comparison target for When,
An aggregator system comprising: According to a power demand suppression command amount distributed by the aggregator system based on a power demand suppression command sent from a power supplier, a power management system that performs power management of electric devices,
A first power to the customer power management system calculated based on a state parameter related to the power demand of the electric device obtained at a predetermined time interval from the customer power management system and a predetermined model formula Reception of receiving from the aggregator system the power demand suppression command amount obtained based on the demand suppression possible amount and the calculation reference state parameter that is the state parameter used for calculating the first power demand suppression possible amount. Department and
A comparison unit that compares the calculated reference state parameter with the command state parameter that is the state parameter at the time of receiving the power demand suppression command amount, and determines whether there is a deviation ;
A customer power management system. Computer
Based on a power demand control command sent from a power supply company, a power demand control command amount is allocated to a customer power management system provided for a plurality of customers, and the power demand control command is transmitted to the customer power management system. A program for functioning as an aggregator system, which executes power management of electric equipment provided to each customer according to a demand suppression command amount,
Said computer,
From each of the customer power management systems, sequentially at predetermined time intervals, a database that acquires state parameters related to the power demand of the electric device,
A first power demand suppression possible amount estimating unit that calculates a first power demand suppression possible amount for the customer power management system based on the state parameter and a predetermined model formula;
It is determined whether or not there is a deviation from the command-time state parameter, which is the state parameter at the time when the customer power management system receives the power demand suppression command amount obtained based on the first power demand suppression possible amount. For transmitting a calculation reference state parameter, which is the state parameter used for calculating the first power demand suppression possible amount, to the customer power management system together with the power demand suppression command amount as a comparison target for When,
Program to function as Computer
A program for functioning as a customer power management system that manages the power of electrical equipment in accordance with the power demand suppression command amount allocated by the aggregator system based on the power demand suppression command sent from the power supplier. hand,
Said computer,
A first power to the customer power management system calculated based on a state parameter related to the power demand of the electric device obtained at a predetermined time interval from the customer power management system and a predetermined model formula Reception of receiving from the aggregator system the power demand suppression command amount obtained based on the demand suppression possible amount and the calculation reference state parameter that is the state parameter used for calculating the first power demand suppression possible amount. Department and
A comparison unit that determines the presence or absence of a deviation by comparing the calculation reference state parameter and the command state parameter that is the state parameter at the time of receiving the power demand suppression command amount,
Program to function as

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