JP2020078144A - Power control system - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a power control system capable of ensuring both the running convenience of a vehicle and the economic efficiency such as utility costs of a building by appropriately predicting the amount of power generated by the photovoltaic power generation device and the running schedule of the vehicle. .. In a power control system that controls the supply of electric power to a house provided with a solar cell panel 1, a control unit 6 of a management server 5 includes a power consumption prediction unit 62 that predicts the power consumption of the house and the sun. The power generation prediction unit 63 that predicts the amount of power generated by the battery panel, the travel schedule prediction unit 64 that predicts the travel schedule of the electric vehicle 4 equipped with the vehicle-mounted storage battery 41 connected to the house, and the charging and discharging of the vehicle-mounted storage battery. It is provided with a charge / discharge control unit 61 for controlling the above. The charge / discharge control unit calculates the amount of charge to be charged from the external system power to the in-vehicle storage battery based on the predictions of the power consumption prediction unit, the generated power prediction unit, and the traveling schedule prediction unit, and the remaining capacity of the stationary storage battery 7 and the in-vehicle storage battery. decide. [Selection diagram] Fig. 1

Description

  The present invention relates to a power control system that controls the supply of power to a building equipped with a solar power generation device.

  By connecting a vehicle equipped with an onboard storage battery such as an electric vehicle to a building such as a house, not only can the electric vehicle be charged from external grid power such as the grid power grid, but the power stored in the onboard storage battery can also be stored in the house. A power supply system that can be used is known (see Patent Documents 1 and 2).

  Further, in Patent Document 1, the control device on the housing side acquires the traveling history stored in the charge / discharge control unit of the electric vehicle, predicts the traveling pattern and the traveling distance, and calculates the necessary charge amount. It is described that the electric vehicle is charged from the external system power based on it.

  Further, in Patent Document 2, in an area including a plurality of houses, when a plurality of houses share electric power in the area with each other, electric power is supplied from a vehicle electrically connected to each house. It is described to be considered.

JP, 2012-23955, A JP, 2013-143892, A

  Here, in the case of a building equipped with a solar power generation device and a stationary storage battery, it is possible to charge the generated electric power to an on-vehicle storage battery or a stationary storage battery of an electric vehicle and use it as electric power for an electric vehicle or a house. However, if the charging is biased to one of the storage batteries, the use of electric vehicles may be restricted, or the electric power consumption of the house may not be covered while the electric vehicle is out, so the electricity price may be high. There is a risk of purchasing utility power from the external system and increasing utility costs.

  Thus, the present invention appropriately predicts the amount of power generated by the solar power generation device and the traveling schedule of the vehicle, thereby ensuring both traveling convenience of the vehicle and economic efficiency such as utility costs of the building. Is intended to provide.

  In order to achieve the above-mentioned object, the power control system of the present invention is a power control system that controls the supply of power to a building including a photovoltaic power generator and a stationary storage battery, and predicts the power consumption of the building. A power consumption prediction unit, a power generation power prediction unit that predicts a power generation amount of the solar power generation device, a travel schedule prediction unit that predicts a travel schedule of a vehicle equipped with an onboard storage battery connected to the building, A charging / discharging control unit that controls charging and discharging of the stationary storage battery and the in-vehicle storage battery, the charging / discharging control unit is a charge amount for charging the in-vehicle storage battery from an external system power, the power consumption prediction unit, and generated power. It is characterized in that the determination is made based on the predictions of the prediction unit and the travel schedule prediction unit and the remaining capacities of the stationary storage battery and the vehicle-mounted storage battery.

  Here, it is preferable that the charge amount is a charge amount in a time zone of midnight power. In addition, the charge / discharge control unit estimates the surplus power amount and the power consumption shortage amount of the building due to the power generated by the solar power generation device, based on the predictions of the power consumption prediction unit and the generated power prediction unit. , The surplus power amount, the power consumption shortage amount and the prediction of the traveling schedule prediction unit and the remaining capacity value of the stationary storage battery and the onboard storage battery, based on the stationary charge amount to the stationary storage battery and the onboard charging amount to the onboard storage battery. The estimated amount of charge, from the value obtained by adding the predicted value of the power consumption shortage to the predicted value of the running power amount of the vehicle, a positive value obtained by subtracting the remaining capacity value of the vehicle-mounted storage battery and the vehicle-mounted charge amount. It can be configured to be determined as a value.

  The power control system of the present invention configured as described above is equipped with a power generation prediction unit that predicts the power generation amount of the photovoltaic power generation device and a vehicle-mounted storage battery that is connected to the building in addition to the power consumption prediction unit of the building. And a traveling schedule predicting unit for the vehicle. Then, the charge amount for charging the onboard storage battery from the external system power is determined based on the predictions of the power consumption prediction unit, the generated power prediction unit and the travel schedule prediction unit, and the remaining capacities of the stationary storage battery and the onboard storage battery.

  In this way, by appropriately predicting the power generation amount of the solar power generation device and the traveling schedule of the vehicle, it is possible to ensure traveling convenience that is less subject to vehicle usage restrictions in the daily life of the resident. Also, it becomes possible to secure the economical efficiency to reduce the utility cost.

It is a block diagram explaining the composition of the power control system of this embodiment. It is a figure explaining the meaning of the term of surplus power generation and power shortage consumption. It is a figure explaining the flow of a process of the power control system of this Embodiment. It is explanatory drawing which illustrated charge / discharge control by the electric power control system in the case of being able to cover shortage of electric power only by the surplus charge of the next day (case 1). It is explanatory drawing which illustrated charge-and-discharge control by the electric power control system in case the shortage electric power can be covered only by the surplus charge of the next day (case 2). It is explanatory drawing which illustrated charge-and-discharge control by the electric power control system in case the shortage electric power cannot be covered only by the surplus charge of the next day (case 3).

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. First, the overall configuration of the power control system according to the present embodiment will be described with reference to FIG. A house H, which is a building controlled by this power control system, is connected to a grid power network to receive external grid power from a power plant of a power company or a cogeneration facility installed in each area.

  In addition, the house H includes a solar cell panel 1 as a solar power generation device and a stationary storage battery 7. Further, a vehicle equipped with an onboard storage battery 41 such as an electric vehicle 4 or a plug-in hybrid vehicle can be connected to the house H.

  The generated power of the solar cell panel 1 can be temporarily stored in the stationary storage battery 7 or the vehicle-mounted storage battery 41. Furthermore, this house H is connected to an external communication network such as the Internet. Then, transmission / reception of data such as measurement values and calculation processing results and transmission / reception of control signals are performed with the external management server 5 which is also connected to the communication network.

  The power control system according to the present embodiment has a configuration arranged in the house H as a house side and a structure arranged in the management server 5 as a server side. Although not described in this embodiment, a plurality of houses H are connected to the management server 5.

First, the configuration on the house H side to be processed will be described.
The house H includes a solar cell panel 1, a stationary storage battery 7, a measuring device 2 that measures the hourly generated power of the solar cell panel 1 and the hourly power consumption of the house H, and a display monitor 3 as a display device. A charging / discharging port for electrically connecting the electric vehicle 4 is mainly provided.

  The solar cell panel 1 is a device that converts solar light into electric power to generate electric power by using a solar cell. The solar cell panel 1 is a device that can supply electric power only during a time period in which sunlight can be received. Further, the DC power generated by the solar cell panel 1 is usually used after being converted into AC power by a power conditioner (not shown). The specifications such as the power generation capacity of the solar cell panel 1 installed in the house H are stored in the house information database 51, which will be described later, on the management server 5 side.

  Further, the stationary storage battery 7 is also connected to a power conditioner (not shown) in the same manner as the solar cell panel 1 to control charging / discharging. For example, the stationary storage battery 7 is charged with low-price power such as midnight power supplied from the grid power system or power generated by the solar cell panel 1. Specifications such as the storage capacity and rated output of the stationary storage battery 7 are also stored in the residence information database 51, which will be described later, on the management server 5 side.

  On the other hand, the charging / discharging port of the vehicle-mounted storage battery 41 is also connected to a power conditioner (not shown) to control charging / discharging, like the solar cell panel 1. For example, the in-vehicle storage battery 41 is charged with electric power such as midnight electric power supplied from the grid power grid, which has a low electric power price, or electric power generated by the solar cell panel 1. Specifications such as the storage capacity and rated output of the on-vehicle storage battery 41 are also stored in the later-described residence information database 51 on the management server 5 side.

  Further, the house H is supplied with external system power through a distribution board, and is equipped with various loads that consume power. Examples of the various loads include an air conditioner such as an air conditioner, a hot water supply device, a lighting device such as a lighting stand and a ceiling light, and a home electric appliance such as a refrigerator and a television.

  The measuring device 2 measures the amount of generated electric power actually generated by the solar cell panel 1 installed in the house H. The measuring device 2 also measures the amount of power consumed by the load installed in the house H. The measurement by the measuring device 2 can be performed every time at an arbitrary interval such as a unit of seconds, a unit of minutes, a unit of time, or the like. Then, the measured value data measured by the measuring device 2 is stored in the power consumption history database 52, which will be described later, on the management server 5 side.

  In the power consumption history database 52, the power consumption of an air conditioning load such as an air conditioner and a hot water supply load such as a hot water supply device that are easily affected by weather conditions such as temperature, and other factors that are not easily affected by weather conditions such as temperature. The electric power consumption of the load is stored by being classified into loads.

  The display monitor 3 displays measurement values measured by the measuring device 2, information indicating the control state of the management server 5, and the like. As the display monitor 3, a dedicated terminal monitor may be used, or a screen of a general-purpose device such as a personal computer may be used.

Next, the configuration of the management server 5 side connected to the house H via the communication network will be described.
The management server 5 side includes a communication unit 56 as a communication unit, a control unit 6 for performing various controls, a house information database 51 as a storage unit, a power consumption history database 52, a power price database 53, a weather forecast database 54, and going out. And a pattern history database 55.

  The communication unit 56 sends the specifications, measured values, processing requests, etc. of various facilities transmitted from the house H to the control unit 6 of the management server 5 and also to various databases (51, 52, 53, 54, 55). It has a function of sending the stored data, the calculation processing result performed by the control unit 6, the update program, and the like to the house H.

  In the house information database 51, house codes (identification numbers) of a plurality of houses H, addresses associated with the house codes, year of construction, heat insulation performance, floor plan, electric wiring, used members, specifications of the solar cell panel 1 (power generation) Information such as the capacity), the specifications of the stationary storage battery 7 (storage capacity, rated output), the specifications of the onboard storage battery 41 of the connected electric vehicle 4 (storage capacity, rated output), and the like are stored.

  The power consumption history database 52 stores data of measured values measured by each house H and received by the management server 5 via the communication unit 56. By storing this measurement value in association with the residence code, it is possible to identify in which house H the measurement result is obtained.

  Furthermore, as described above, the history of the power consumption amount stored in the power consumption history database 52 is the power consumption of the air conditioning load such as the air conditioner and the hot water supply load such as the hot water supply device that are easily affected by the weather conditions such as the temperature. It is a record that categorizes the amount and the power consumption of other loads that are not easily affected by weather conditions such as air temperature.

  Further, in the power consumption history database 52, information such as a remaining capacity value of the stationary storage battery 7 and a charge / discharge history is stored as storage battery data. The remaining capacity value of the stationary storage battery 7 can be acquired from the stationary storage battery 7 and stored at any time.

  Then, the power price database 53 stores information about the power price (power purchase price viewed from the resident side) that changes according to the time of day set by a power company or the like that supplies external system power.

  For example, the power purchase price for midnight power from 23:00 to 6:00 the following day is set to be lower than the power purchase prices for other daytime power sources. The power price database 53 stores the time at which the power price is switched and the power price (unit price) of each time zone. Further, the power price database 53 also stores a purchase price (a power sale price as seen from the resident side) at which an electric power company or the like purchases the power generated by the solar cell panel 1.

  The weather forecast database 54 stores the weather forecast data of the next day such as the temperature and the amount of insolation of the whole country where the house H is located, which is received from a server (not shown) such as the Meteorological Agency or a weather forecast company via a communication network. ..

  The outing pattern history database 55 stores information on whether or not the electric vehicle 4 is connected to the house H, information on the charging / discharging history of the in-vehicle storage battery 41, and the like. The data of the outing pattern history database 55 is used by the traveling schedule prediction unit 64 described later.

  The control unit 6 is provided with a charge / discharge control unit 61, a power consumption prediction unit 62, a generated power prediction unit 63, and a travel schedule prediction unit 64.

  The power consumption prediction unit 62 is a unit that predicts the power consumption for each unit time (in the present embodiment, one hour is set as the unit time). For example, the hourly power consumption of the house H on the following day can be predicted. The power consumption predicting unit 62 predicts the hourly power consumption of the air conditioning load and the hot water supply load that are easily affected by weather conditions such as temperature, based on the weather forecast data, and is not easily affected by weather conditions such as temperature. The hourly power consumption of other loads is predicted based on past history data, and these are summed up to predict the hourly power consumption of the house H.

  Specifically, in predicting the power consumption of the air conditioning load and the hot water supply load for each hour, the weather forecast data of the next day such as the temperature stored in the weather forecast database 54 is referred to, and the power consumption predicting unit 62 determines the time. Predict the power consumption for each. In predicting the power consumption of other loads over time, the past power consumption history database 52 classifies and stores the past history data, and the power consumption prediction unit 62 predicts the power consumption over time. To do. Then, these are summed up to predict the power consumption of the house H for each hour.

  The generated power prediction unit 63 predicts the generated power of the solar cell panel 1 for each hour. For example, it is possible to predict the hourly power generation of the house H on the following day. Specifically, when predicting the power generated by the solar cell panel 1 for each hour, the weather forecast data of the next day such as the amount of solar radiation stored in the weather forecast database 54 is referred to, and the power generation forecasting unit 63 is used to Predict the generated power for each hour of H.

  The travel schedule predicting unit 64 predicts the outing time or at-home time when the electric vehicle 4 is used, and the amount of traveling electric power required for the electric vehicle 4 to travel. A pattern of connection or non-connection of the electric vehicle 4 to the house H, a pattern of the remaining capacity of the onboard storage battery 41 after traveling, and the like are stored in the outing pattern history database 55, and machine learning or the like is performed based on the data. Then, the traveling schedule of the electric vehicle 4 by the resident can be predicted. For example, if the next day is Tuesday, there is a high possibility of going out during the day, and the traveling distance on Sunday will be longer than usual (the remaining capacity of the vehicle-mounted storage battery 41 will decrease), and the like, which enables prediction to be performed. In addition, the travel schedule prediction unit 64 can acquire the remaining capacity value of the onboard storage battery 41 at any time.

  Then, based on the predicted power consumption amount of the house H, the generated power amount, the traveling schedule of the electric vehicle 4, and the remaining capacity of the stationary storage battery 7 and the in-vehicle storage battery 41, the charging / discharging control unit 61 performs the stationary storage battery 7 and the on-vehicle battery. The charge / discharge of the storage battery 41 is controlled. Before describing the details of the control by the charge / discharge control unit 61, the relationship between the generated power (power generation) and the consumed power will be described with reference to FIG. 2.

  In FIG. 2, “power generation” refers to power generated by the solar cell panel 1 in time units, and “power consumption” refers to power consumption of the house H in time units. The "generated surplus power" is the power that is a positive value (plus) of the value obtained by subtracting the power consumption from the power generation in the time unit, and the surplus generated power amount that is integrated over 24 hours is the "generated surplus power". Amount.

  On the other hand, "consumed power shortage" is the power that is positive (plus) of the value obtained by subtracting power generation from the power consumption in time units, and the amount of power shortage accumulated over 24 hours is called "consumed power shortage". Become. That is, when the power generation exceeds the power consumption, the power generation surplus power amount is accumulated, and when the power consumption exceeds the power generation, the power consumption shortage amount is accumulated.

  Next, “midnight charging” for charging the stationary storage battery 7 and the onboard storage battery 41 of the electric vehicle 4 with the midnight power, and “excess charging” for charging with the power generated by the solar cell panel 1 will be described. In the “midnight charging”, the midnight power with a low unit price is purchased from the system power grid to charge the stationary storage battery 7 or the onboard storage battery 41.

  On the other hand, the power generated by the solar cell panel 1 during the daytime can be used in the house H for power generation and private consumption. The surplus power generated can also be sold to the grid. Further, the stationary storage battery 7 and the vehicle-mounted storage battery 41 can be charged without selling the generated surplus power. This is the "surplus charge".

  When the power generated by the solar cell panel 1 is lower than the power consumption, the power charged in the stationary storage battery 7 or the vehicle-mounted storage battery 41 is discharged to the house H to be supplemented. Further, even in the midnight time period, the power consumption of the house H can be covered by discharging the stationary storage battery 7 or the vehicle-mounted storage battery 41.

Next, charge / discharge control by the control unit 6 will be described with reference to the processing flow of the power control system of the present embodiment shown in FIG.
In the power control system of the present embodiment, for example, at a predetermined time every day, arithmetic processing for determining the charge amount by midnight charging is performed. For example, it is determined whether or not the current time is one hour before the time (eg, 23:00) when the midnight power price (midnight charge) is started, and the arithmetic processing is started when the current time is 22:00. In the following process, "next day" means 24 hours (for example, from 23:00 to the next 23:00) starting from the start time of the late-night charge.

  In determining the charge amount by the midnight charge, the generated power is predicted (S21). The amount of power generated by the solar panel 1 of the house H on the next day is the amount of solar radiation (S11) acquired on the next day obtained from the weather forecast database 54 and the past amount of power generation (S12) acquired from the power consumption history database 52. The generated power prediction unit 63 makes a prediction based on data such as Therefore, the predicted amount of generated electric power greatly changes depending on whether the weather forecast of the next day is “cloudy” or “rainy” and “clear”. Let this predicted generated power be a predicted value A.

  On the other hand, the power consumption of the house H on the next day is predicted by the power consumption prediction unit 62 based on data such as the past record of the power consumption (S13) acquired from the power consumption history database 52. The predicted power consumption is set as the predicted value B (S22).

  In the travel schedule prediction unit 64, the time zone when the electric vehicle 4 is connected to the house H on the next day (EV home time) and the traveling electric energy required for traveling of the electric vehicle 4 (the traveling electric energy when leaving the EV) are Estimate based on the data stored in the outing pattern history database 55.

  Then, from the predicted traveling schedule of the electric vehicle 4 on the next day (EV data (S14)), the EV home time at which the electric vehicle 4 is in the connected state without going out is acquired as the predicted value C (S23).

  In addition, the traveling electric energy of the electric vehicle 4 when it goes out of the EV is acquired as the predicted value D (S24). Further, the running schedule prediction unit 64 acquires the current remaining capacity value E of the vehicle-mounted storage battery 41 (EV storage battery) (S25).

  Further, the charge / discharge control unit 61 acquires the current remaining capacity value F of the stationary storage battery 7 recorded in the storage battery data (S15) of the power consumption history database 52 (S26).

  In the charging / discharging control unit 61, using the predicted value A-predicted value D and the remaining capacity value E and the remaining capacity value F acquired in this way, the charging for charging the onboard storage battery 41 from the grid power network in the late-night charge time zone. Calculate the amount (late-night charge amount M).

  First, based on the predicted value A of the generated power and the predicted value B of the consumed power, the predicted value G of the surplus power amount and the predicted value H of the insufficient power consumption of the house H for one day (24 hours) are estimated. (S31). In addition, the surplus power generation amount at the predicted value C of the EV in-home time is predicted (S32).

  That is, the predicted value I of the surplus power generation amount is a positive value (plus) obtained by subtracting the power consumption (predicted value B) from the generated power (predicted value A) in each unit time of the EV home time period (predicted value C). It is calculated as an integrated value.

  In short, the predicted value G of the surplus power amount for one day (24 hours) indicates the amount of power that can be surplus-charged by the power generation of the solar cell panel 1 regardless of whether the electric vehicle 4 is connected to the house H or not. .. On the other hand, the predicted value I of the power generation surplus power amount during the EV in-home time (predicted value C) indicates the surplus charge power amount with which the in-vehicle storage battery 41 can be charged.

  Subsequently, the amount of power consumption shortage (the amount of power shortage in the home) of the house H when going out of the EV is predicted (S33). The predicted value J of the power shortage in the home is an integrated value of positive (plus) values obtained by subtracting the generated power (predicted value A) from the power consumption (predicted value B) of each unit time during the EV outing time period. Is calculated.

  Then, a value obtained by subtracting the remaining capacity value F of the stationary storage battery 7 from the predicted value J of the in-home insufficient power consumption calculated in this way is used as the stationary charge amount of the stationary storage battery 7 by the surplus of the power generation of the solar cell panel 1. It is calculated as (surplus charge amount K) (S34). The surplus charge amount K is a positive value equal to or less than the predicted value I of the surplus power generation amount.

  Further, a value obtained by subtracting the surplus charge amount K from the predicted value I of the surplus power generation amount is calculated as the on-vehicle charge amount (excess charge amount L) of the on-vehicle storage battery 41 (EV storage battery) by the surplus of the power generation of the solar cell panel 1. (S35).

Then, the charge amount (midnight charge amount M) charged in the on-vehicle storage battery 41 in the late-night charge time zone is determined by the following formula (S36).
Midnight charge amount M = running power amount D + deficient power consumption amount H−remaining capacity value of EV storage battery E−excess charge amount L of EV storage battery

Next, an example of operation control by the power control system of the present embodiment and its operation will be described.
FIG. 4 to FIG. 6 are explanatory diagrams exemplifying charge / discharge control by the power control system of the present embodiment (case 1-case 3). These figures exemplify the control of the next day after determining the ratio of the surplus charge of the stationary storage battery 7 and the vehicle-mounted storage battery 41 and the amount of charge to the vehicle-mounted storage battery 41 by the midnight charging.

  The determination of the charging control on the next day is started at a time (22:00), for example, one hour before the midnight charge time zone. At this time, the remaining capacity value E of the EV storage battery (vehicle-mounted storage battery 41) and the remaining capacity value F of the stationary storage battery 7 are confirmed (S25, S26 in FIG. 3).

  Then, the amount of power generated by the solar panel 1 (predicted value A) until the next 24 hours (time 23:00 to time 23:00) on the next day, the power consumption of the house H (predicted value B), and EV data Is predicted (S21, S22, S14 in FIG. 3).

  Then, the predicted value G of the surplus power amount obtained by the prediction, the predicted value J of the in-home insufficient power consumption amount, the predicted value I of the generated surplus power amount, the predicted value J of the in-home insufficient power consumption amount, and the remaining capacity of the stationary storage battery 7 From the value F, the excess charge amount K of the stationary storage battery 7 and the excess charge amount L of the EV storage battery are calculated (S31-S35 in FIG. 3).

  Further, the EV storage battery (vehicle-mounted storage battery 41) is charged in the late-night charge time period from the predicted value D of the running power amount, the predicted value H of the insufficient power consumption, the remaining capacity value E of the EV storage battery, and the surplus charge amount L of the EV storage battery. The amount of charge (the amount of charge M at night) to be used is determined (S36 in FIG. 3).

  In case 1 shown in FIG. 4, it is predicted that the power consumption of the house H during the daytime can be covered by the power generation by the power generation, based on the weather forecast data that the next day's weather is sunny and the amount of solar radiation is sufficient. .. In addition, it is predicted that surplus charging (EV charging) of the vehicle-mounted storage battery 41 and surplus charging of the stationary storage battery 7 can be performed by surplus power generated during the day, which exceeds self-consumption of power generation.

  In addition, in this case 1, although the electric vehicle 4 goes out in the evening, the house H and the electric vehicle 4 are in the connected state during a time period in which a large amount of power is generated and surplus charging can be performed. As a result, in this case 1, the charging amount (midnight charging amount M) of the onboard storage battery 41 by the midnight power is determined to be 0, and the midnight charging is not performed.

  Then, in the time zone in which the electric vehicle 4 is connected, the power consumption of the house H is covered by the discharge (EV discharge) from the vehicle-mounted storage battery 41 during the time when the power consumption exceeds the power generation (power generation) of the solar cell panel 1. Performs discharge control.

  On the other hand, during the daytime when the power generation exceeds the power consumption, charging control is performed to charge the vehicle-mounted storage battery 41 or the stationary storage battery 7 with the surplus power generation that exceeds the power generation self-consumption. Further, in a time zone in which it is predicted that the electric vehicle 4 will go out (EV going out), during the time when the power consumption exceeds the power generation of the solar cell panel 1, the house H is discharged by the discharge from the stationary storage battery 7 (the stationary storage battery discharge). Performs discharge control to cover power consumption.

  On the other hand, the case 2 shown in FIG. 5 is also an example of the case where it is predicted that the charged amounts of the on-vehicle storage battery 41 and the stationary storage battery 7 can be covered only by the surplus charging by the power generation of the solar cell panel 1 on the next day. However, in this case 2, it is predicted that the amount of power generation of the next day will be small, and also that the power consumption at night from midnight to morning and from evening to midnight will be high.

  Therefore, in this case 2, the proportion of EV charging due to excess charging is reduced and the proportion of excess charging to the stationary storage battery 7 is increased. That is, the excess charge is controlled based on the ratios determined by the formulas (S34, S35 in FIG. 3) of the excess charge amount K of the stationary storage battery 7 and the excess charge amount L of the EV storage battery.

  Then, as in case 1, in the time period when the electric vehicle 4 is connected, during the time when the power consumption exceeds the power generation of the solar cell panel 1, the power consumption of the house H by the discharge (EV discharge) from the vehicle-mounted storage battery 41. Discharge control is provided to cover this. In addition, during the daytime when the power generation exceeds the power consumption, the surplus power generation that exceeds the power generation self-consumption is first charged to the vehicle-mounted storage battery 41 in order to supplement the traveling power amount D, and otherwise, the stationary storage battery 7 is excessively charged. Charge control is performed.

  On the other hand, Case 3 shown in FIG. 6 is a case where it is predicted that the amount of charge of the vehicle-mounted storage battery 41 and the stationary storage battery 7 cannot be covered only by surplus charging by the power generation of the solar cell panel 1 on the next day. Then, during the time period from 15:00 to 16:00 when the electric vehicle 4 is not connected to the house H, the shortage of power consumption is compensated by discharging the stationary storage battery 7.

  Case 3 is an example of the case where the power generation amount of the next day is predicted to be small, and the power consumption at night is predicted to be high from midnight to morning and from evening to midnight. Therefore, in addition to the ratio of surplus charge between the stationary storage battery 7 and the in-vehicle storage battery 41 (excessive charge amount K, surplus charge amount L), the amount of charge to the in-vehicle storage battery 41 by the late-night power is the formula for calculating the late-night charge amount M ( The vehicle-mounted storage battery 41 is charged at midnight (EV purchase charging) by the external system power purchased from the system power grid, which is determined in S36) of FIG.

  Then, until about 8:00 when the power consumption exceeds the power generation, the discharge control for covering the power consumption by the EV discharge is performed. In addition, when the electric vehicle 4 is connected to the house H in the morning, charging control is performed to charge the vehicle-mounted storage battery 41 with the surplus power generation.

  Furthermore, after the vehicle-mounted storage battery 41 is charged with the surplus charge amount L, charging control is performed to perform surplus charging of the stationary storage battery 7. In addition, the shortage of the power consumption in the evening when the power consumption when the EV is out, exceeds the power generation, is compensated by the discharge control from the stationary storage battery 7.

  The power control system according to the present embodiment configured as described above includes, in addition to the power consumption prediction unit 62 that predicts the power consumption amount of the house H, the power generation power prediction unit 63 that predicts the power generation amount of the solar cell panel 1. And a travel schedule prediction unit 64 of the electric vehicle 4 mounted with the onboard storage battery 41 connected to the house H.

  Then, the late-night charge amount M charged in the onboard storage battery 41 from the grid power network is predicted by the power consumption prediction unit 62, the generated power prediction unit 63, and the travel schedule prediction unit 64 (prediction value A-prediction value D), and the onboard storage battery 41. The remaining capacity value E and the remaining capacity value F of the stationary storage battery 7 are determined.

  In this way, by appropriately predicting the amount of electric power generated by the solar cell panel 1 and the traveling schedule of the electric vehicle 4, it is possible to improve the traveling convenience that is less likely to be subject to usage restrictions of the electric vehicle 4 in the daily life of the resident. In addition to being able to secure the cost, it is possible to secure the economical efficiency that can reduce the utility bill.

  That is, the late-night charge amount M, which must be stored in the in-vehicle storage battery 41 required on the next day, can be covered by the external system power during the time when the power price is low, which is the midnight charge time period, and the time when the power price is high. It will be possible to suppress the purchase of external system power as much as possible.

  In addition, when performing surplus charging on two storage batteries, the stationary storage battery 7 and the onboard storage battery 41, the surplus charge amount K of the stationary storage battery 7 and the surplus charge amount L of the onboard storage battery 41 are calculated in advance. Therefore, it is possible to prevent the situation in which the remaining capacity of one of the power storage areas is reduced due to insufficient charging and the usage is hindered. That is, in the house H that includes the stationary storage battery 7 and is connected to the in-vehicle storage battery 41, optimal control of charging and discharging of the two storage batteries can be performed.

  Further, if the prediction by the travel schedule prediction unit 64 is performed based on the data stored in the outing pattern history database 55 such as the charge / discharge history data of the onboard storage battery 41, the travel pattern of the resident is predicted by accumulating the data. The accuracy is improved, and more appropriate determination of the charge amount for late-night charge can be performed.

The embodiment of the present invention has been described in detail above with reference to the drawings. However, the specific configuration is not limited to this embodiment, and a design change that does not depart from the gist of the present invention is Included in the invention.
For example, in the above-described embodiment, since the purchase price in the late-night charge time zone is low, the description has been made as “late-night charge”, but the present invention is not limited to this, and the purchase price of the power supplied from the grid is low. The time zone can be set as “time for charging the onboard storage battery with the external system power”.

1: Solar cell panel (photovoltaic power generator)
4: Electric vehicle (vehicle)
41: vehicle-mounted storage battery 61: charge / discharge control unit 62: power consumption prediction unit 63: generated power prediction unit 64: travel schedule prediction unit 7: stationary storage battery H: house (building)
M: Midnight charge (charge)
K: surplus charge (stationary charge)
L: surplus charge (vehicle charge)

Claims (3)

A power control system for controlling the supply of power to a building equipped with a solar power generator and a stationary storage battery,
A power consumption prediction unit that predicts the power consumption of the building,
A power generation power predicting unit that predicts the power generation power amount of the solar power generation device,
A travel schedule prediction unit that predicts a travel schedule of a vehicle equipped with an onboard storage battery connected to the building,
A charging / discharging control unit that controls charging and discharging of the stationary storage battery and the in-vehicle storage battery,
The charge and discharge control unit, the charge amount to charge the in-vehicle storage battery from the external system power, the power consumption prediction unit, the generated power prediction unit and the prediction of the travel schedule prediction unit, and the remaining capacity of the stationary storage battery and the vehicle-mounted storage battery A power control system characterized by making a decision based on.   The power control system according to claim 1, wherein the charge amount is a charge amount in a time zone of midnight power. In the charge / discharge control unit, based on the predictions of the power consumption prediction unit and the power generation power prediction unit, while estimating the surplus power amount and the power consumption shortage amount of the building by the power generated by the solar power generation device,
Based on the surplus power amount, the power consumption shortage amount and the prediction of the traveling schedule prediction unit and the remaining capacity value of the stationary storage battery and the in-vehicle storage battery, the stationary charging amount to the stationary storage battery and the in-vehicle charging amount to the in-vehicle storage battery. Estimate,
The charge amount is determined as a positive value obtained by subtracting the remaining capacity value of the in-vehicle storage battery and the in-vehicle charge amount from a value obtained by adding the estimated value of the insufficient power consumption amount to the estimated value of the traveling power amount of the vehicle. The power control system according to claim 1 or 2, characterized in that: