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WO2019150779A1 - Dispositif de détermination, procédé de détermination et programme de détermination - Google Patents

Dispositif de détermination, procédé de détermination et programme de détermination Download PDF

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Publication number
WO2019150779A1
WO2019150779A1 PCT/JP2018/045861 JP2018045861W WO2019150779A1 WO 2019150779 A1 WO2019150779 A1 WO 2019150779A1 JP 2018045861 W JP2018045861 W JP 2018045861W WO 2019150779 A1 WO2019150779 A1 WO 2019150779A1
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WO
WIPO (PCT)
Prior art keywords
data
determination
power generation
unit
generation unit
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/JP2018/045861
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English (en)
Japanese (ja)
Inventor
下口剛史
後藤勲
谷村晃太郎
近藤麻由
池上洋行
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Sumitomo Electric Industries Ltd
Original Assignee
Sumitomo Electric Industries Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Sumitomo Electric Industries Ltd filed Critical Sumitomo Electric Industries Ltd
Priority to DE112018006999.0T priority Critical patent/DE112018006999T5/de
Priority to JP2019568912A priority patent/JP7163931B2/ja
Publication of WO2019150779A1 publication Critical patent/WO2019150779A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
    • H02S50/00—Monitoring or testing of PV systems, e.g. load balancing or fault identification
    • H02J13/12—
    • H02J2101/24—
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for AC mains or AC distribution networks
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381—Dispersed generators
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00—Energy generation through renewable energy sources
    • Y02E10/50—Photovoltaic [PV] energy
    • Y02E10/56—Power conversion systems, e.g. maximum power point trackers
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/12—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation
    • Y04S10/123—Monitoring or controlling equipment for energy generation units, e.g. distributed energy generation [DER] or load-side generation the energy generation units being or involving renewable energy sources
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/30—State monitoring, e.g. fault, temperature monitoring, insulator monitoring, corona discharge

Definitions

  • the present invention relates to a determination device, a determination method, and a determination program.
  • This application claims priority based on Japanese Patent Application No. 2018-16736 filed on Feb. 1, 2018, the entire disclosure of which is incorporated herein.
  • Patent Document 1 JP 2012-205078 A discloses a monitoring system for photovoltaic power generation as follows. That is, the photovoltaic power generation monitoring system is a photovoltaic power generation monitoring system that monitors the power generation status of the solar cell panel for a photovoltaic power generation system that aggregates outputs from a plurality of solar cell panels and sends them to a power converter.
  • the management device determines the presence or absence of abnormality based on the difference in power generation amount at the same time for each solar cell panel, or the maximum value or integration of the power generation amount for a predetermined period for each solar cell panel The presence or absence of abnormality is determined based on the value.
  • the determination device of the present disclosure is a determination device used in a solar power generation system including a power generation unit including a solar battery panel, and acquires an acquisition unit that acquires data based on a measurement result of an output of the power generation unit. Based on the data acquired by the acquisition unit, a generation unit that generates one or a plurality of data with coarser temporal granularity of the data, the data acquired by the acquisition unit, and the generation unit A determination unit for determining an abnormality related to the power generation unit from a plurality of pieces of data having different lengths among a plurality of pieces of data of different lengths among the one or more pieces of data that are different in length. .
  • the determination method of the present disclosure is a determination method used in the determination device, and the step of acquiring data based on the measurement result of the output of the power generation unit including the solar battery panel, and based on the acquired data, The step of generating one or a plurality of data with coarse time granularity of the data is different from the acquired data and the generated one or more data over a plurality of periods having different lengths Determining an abnormality related to the power generation unit from a plurality of data of granularity using different criteria.
  • the determination program of the present disclosure is a determination program used in a determination device, and includes an acquisition unit that acquires data based on a measurement result of an output of a power generation unit including a solar battery panel, and the acquisition unit. Based on the acquired data, a generating unit that generates one or a plurality of data with coarser temporal granularity of the data, the data acquired by the acquiring unit, and the 1 generated by the generating unit Alternatively, a program for functioning as a determination unit that determines a malfunction related to the power generation unit from a plurality of data having a different granularity among a plurality of data using a different standard from a plurality of data having different granularities. It is.
  • One embodiment of the present disclosure can be realized not only as a determination device including such a characteristic processing unit, but also as a semiconductor integrated circuit that realizes part or all of the determination device.
  • one aspect of the present disclosure can be realized not only as a monitoring system including such a characteristic processing unit, but also as a program for causing a computer to execute such characteristic processing. Further, one aspect of the present disclosure can be realized not only as a monitoring system including such a characteristic processing unit, but also as a method using such characteristic processing as a step. Further, the present invention can be realized as a semiconductor integrated circuit that realizes part or all of the monitoring system.
  • FIG. 1 is a diagram showing a configuration of a photovoltaic power generation system according to an embodiment of the present invention.
  • FIG. 2 is a diagram showing a configuration of the PCS unit according to the embodiment of the present invention.
  • FIG. 3 is a diagram showing a configuration of the current collecting unit according to the embodiment of the present invention.
  • FIG. 4 is a diagram showing a configuration of the solar cell unit according to the embodiment of the present invention.
  • FIG. 5 is a diagram showing the configuration of the monitoring system according to the embodiment of the present invention.
  • FIG. 6 is a diagram showing a configuration of a monitoring device in the monitoring system according to the embodiment of the present invention.
  • FIG. 7 is a diagram showing a configuration of the determination device in the monitoring system according to the embodiment of the present invention.
  • FIG. 1 is a diagram showing a configuration of a photovoltaic power generation system according to an embodiment of the present invention.
  • FIG. 2 is a diagram showing a configuration of the PCS unit according to the embodiment of the present
  • FIG. 8 is a diagram showing an example of monitoring information held by the determination apparatus in the monitoring system according to the embodiment of the present invention.
  • FIG. 9 is a diagram illustrating an example of data every 10 minutes determined to be abnormal.
  • FIG. 10 is a diagram illustrating an example of daily data determined to be abnormal.
  • FIG. 11 is a flowchart that defines an operation procedure when the determination device according to the embodiment of the present invention performs abnormality determination regarding the power generation unit.
  • the present disclosure has been made in order to solve the above-described problems, and an object thereof is to provide a determination device, a determination method, and a determination program that can improve abnormality determination of a solar power generation system.
  • a determination device is a determination device used in a solar power generation system including a power generation unit including a solar battery panel, and acquires data based on a measurement result of an output of the power generation unit.
  • An acquisition unit that generates, based on the data acquired by the acquisition unit, a generation unit that generates one or a plurality of data with coarser temporal granularity of the data, the data acquired by the acquisition unit, and Among the one or a plurality of data generated by the generation unit, an abnormality relating to the power generation unit is determined using a plurality of pieces of data having different granularities and a plurality of pieces of data having different granularities using different criteria.
  • a determination unit is a determination device used in a solar power generation system including a power generation unit including a solar battery panel, and acquires data based on a measurement result of an output of the power generation unit.
  • abnormality in the measured value over a relatively short period and an abnormality in the measured value over a relatively long period.
  • abnormalities in a plurality of types of periods can be determined and various abnormality determinations can be made. For example, there is no change in measured values in a short period, and changes can be made by checking measurement results over a long period. An abnormality that can be confirmed can be detected. Further, in the measurement result over a long period, a change in the measurement value in a short period that cannot be captured due to coarse data granularity can be detected by checking the measurement result over a short period. Therefore, the abnormality determination of the solar power generation system can be improved.
  • the determination unit determines an abnormality related to the power generation unit using three or more of the criteria.
  • the type of the abnormality determined using each of the criteria is different.
  • the determination device further includes a notification unit that notifies the abnormality determined by the determination unit, and the notification contents of the abnormality determined using the respective criteria are different.
  • the determination method is a determination method used in the determination device, the step of acquiring data based on the measurement result of the output of the power generation unit including the solar battery panel, and the acquired Based on the data, generating one or more data in which the time granularity of the data is coarse, and a plurality of the data acquired and the generated one or more data over a period of different length Determining an abnormality related to the power generation unit from a plurality of data having different granularities using different criteria.
  • the determination program according to the embodiment of the present invention is a determination program used in the determination device, and the computer acquires an acquisition unit that acquires data based on the measurement result of the output of the power generation unit including the solar battery panel.
  • a generation unit that generates one or a plurality of data in which the temporal granularity of the data is coarse based on the data acquired by the acquisition unit, the data acquired by the acquisition unit, and the generation unit Among the one or more generated data, as a determination unit that determines a malfunction related to the power generation unit from a plurality of data over a period of different lengths and a plurality of data having different granularities using different criteria, respectively. It is a program to make it function.
  • FIG. 1 is a diagram showing a configuration of a photovoltaic power generation system according to an embodiment of the present invention.
  • solar power generation system 401 includes four PCS (Power Conditioning Subsystem) units 80 and cubicle 6.
  • the cubicle 6 includes a copper bar 73.
  • FIG. 1 representatively shows four PCS units 80, but a larger or smaller number of PCS units 80 may be provided.
  • FIG. 2 is a diagram showing a configuration of the PCS unit according to the embodiment of the present invention.
  • the PCS unit 80 includes four current collecting units 60 and a PCS (power conversion device) 8.
  • the PCS 8 includes a copper bar 7 and a power conversion unit 9.
  • FIG. 2 four current collecting units 60 are representatively shown, but a larger or smaller number of current collecting units 60 may be provided.
  • FIG. 3 is a diagram showing a configuration of the current collecting unit according to the embodiment of the present invention.
  • the current collecting unit 60 includes four solar cell units 74 and a current collecting box 71.
  • the current collection box 71 has a copper bar 72.
  • FIG. 3 four solar cell units 74 are representatively shown, but a larger number or a smaller number of solar cell units 74 may be provided.
  • FIG. 4 is a diagram showing the configuration of the solar cell unit according to the embodiment of the present invention.
  • solar cell unit 74 includes four power generation units 78 and a junction box 76.
  • the power generation unit 78 has a solar cell panel.
  • the connection box 76 has a copper bar 77.
  • FIG. 4 representatively shows four power generation units 78, but a larger or smaller number of power generation units 78 may be provided.
  • the power generation unit 78 is a string in which four solar cell panels 79A, 79B, 79C, and 79D are connected in series.
  • each of the solar cell panels 79A, 79B, 79C, and 79D is also referred to as a solar cell panel 79.
  • FIG. 4 representatively shows four solar cell panels 79, but a larger or smaller number of solar cell panels 79 may be provided.
  • output lines and aggregated lines that is, power lines from the plurality of power generation units 78 are electrically connected to the cubicles 6, respectively.
  • the output line 1 of the power generation unit 78 has a first end connected to the power generation unit 78 and a second end connected to the copper bar 77.
  • Each output line 1 is aggregated into an aggregation line 5 via a copper bar 77.
  • the copper bar 77 is provided, for example, inside the connection box 76.
  • the power generation unit 78 When the power generation unit 78 receives sunlight, the power generation unit 78 converts the received solar energy into DC power, and outputs the converted DC power to the output line 1.
  • aggregation line 5 has a first end connected to copper bar 77 and a second end connected to copper bar 72 in corresponding solar cell unit 74. Each aggregation line 5 is aggregated into the aggregation line 2 via the copper bar 72.
  • the copper bar 72 is provided, for example, inside the current collection box 71.
  • the output lines 1 from the plurality of power generation units 78 are aggregated into the aggregation line 5, and the aggregation lines 5 are aggregated into the aggregation line 2. Then, each aggregation line 2 is aggregated to the aggregation line 4, and each aggregation line 4 is electrically connected to the cubicle 6.
  • each aggregation line 2 has a first end connected to the copper bar 72 in the corresponding current collecting unit 60 and a second end connected to the copper bar 7.
  • the internal line 3 has a first end connected to the copper bar 7 and a second end connected to the power conversion unit 9.
  • the power conversion unit 9 uses, for example, the DC power generated in each power generation unit 78 via the output line 1, the copper bar 77, the aggregation line 5, the copper bar 72, the aggregation line 2, the copper bar 7 and the internal line 3. Is received, the received DC power is converted into AC power and output to the aggregation line 4.
  • the aggregation line 4 has a first end connected to the power conversion unit 9 and a second end connected to the copper bar 73.
  • FIG. 5 is a diagram showing the configuration of the monitoring system according to the embodiment of the present invention.
  • the solar power generation system 401 includes a monitoring system 301.
  • the monitoring system 301 includes a determination device 101, a plurality of monitoring devices 111, and a collection device 151.
  • FIG. 5 representatively shows four monitoring devices 111 provided corresponding to one current collecting unit 60, but a larger or smaller number of monitoring devices 111 may be provided.
  • the monitoring system 301 includes one collection device 151, but may include a plurality of collection devices 151.
  • sensor information in the monitoring device 111 which is a slave is transmitted to the collection device 151 regularly or irregularly.
  • the monitoring device 111 is provided in the current collecting unit 60, for example. More specifically, four monitoring devices 111 are provided corresponding to the four solar cell units 74, respectively. Each monitoring device 111 is electrically connected to the corresponding output line 1 and aggregation line 5, for example.
  • the monitoring device 111 measures the current of each output line 1 in the corresponding solar cell unit 74 with a sensor. Moreover, the monitoring apparatus 111 measures the voltage of each output line 1 in the corresponding solar cell unit 74 with a sensor.
  • the collecting device 151 is provided in the vicinity of the PCS 8, for example. More specifically, the collection device 151 is provided corresponding to the PCS 8 and is electrically connected to the copper bar 7 via the signal line 46.
  • the monitoring device 111 and the collection device 151 perform transmission and reception of information by performing power line communication (PLC: Power Line Communication) via the aggregation lines 2 and 5.
  • PLC Power Line Communication
  • each monitoring device 111 transmits monitoring information indicating the measurement result of the current and voltage of the corresponding output line.
  • the collection device 151 collects the measurement results of each monitoring device 111.
  • FIG. 6 is a diagram showing a configuration of a monitoring device in the monitoring system according to the embodiment of the present invention.
  • the output line 1, the aggregation line 5 and the copper bar 77 are shown in more detail.
  • output line 1 includes a plus side output line 1p and a minus side output line 1n.
  • Aggregation line 5 includes a plus-side aggregation line 5p and a minus-side aggregation line 5n.
  • the copper bar 77 includes a plus side copper bar 77p and a minus side copper bar 77n.
  • the copper bar 72 in the current collection box 71 shown in FIG. 3 includes a plus-side copper bar 72p and a minus-side copper bar 72n corresponding to the plus-side aggregation line 5p and the minus-side aggregation line 5n, respectively.
  • the plus side output line 1p has a first end connected to the corresponding power generation unit 78 and a second end connected to the plus side copper bar 77p.
  • the negative side output line 1n has a first end connected to the corresponding power generation unit 78 and a second end connected to the negative side copper bar 77n.
  • the plus side aggregation line 5p has a first end connected to the plus side copper bar 77p and a second end connected to the plus side copper bar 72p in the current collection box 71.
  • the minus-side aggregate line 5n has a first end connected to the minus-side copper bar 77n and a second end connected to the minus-side copper bar 72n in the current collection box 71.
  • the monitoring device 111 includes a detection processing unit 11, four current sensors 16, a voltage sensor 17, and a communication unit 14. Note that the monitoring device 111 may further include a large number or a small number of current sensors 16 depending on the number of output lines 1.
  • the monitoring device 111 is provided in the vicinity of the power generation unit 78, for example. Specifically, the monitoring device 111 is provided, for example, inside a connection box 76 provided with a copper bar 77 to which the output line 1 to be measured is connected. Note that the monitoring device 111 may be provided outside the connection box 76.
  • the monitoring device 111 is electrically connected to, for example, the plus-side aggregate line 5p and the minus-side aggregate line 5n via the plus-side power line 26p and the minus-side power line 26n, respectively.
  • each of the plus-side power line 26p and the minus-side power line 26n is also referred to as a power line 26.
  • Each monitoring device 111 transmits monitoring information indicating a measurement result regarding the corresponding power generation unit 78 via a power line connected to itself and the collecting device 151.
  • the communication unit 14 in the monitoring device 111 can perform power line communication via the aggregation line with the collection device 151 that collects the measurement results of the plurality of monitoring devices 111. More specifically, the communication unit 14 can transmit and receive information via the aggregation lines 2 and 5. Specifically, the communication unit 14 performs power line communication with the collection device 151 via the power line 26 and the aggregation lines 2 and 5.
  • the detection processing unit 11 is set, for example, so as to create monitoring information indicating the measurement results of the current and voltage of the corresponding output line 1 every predetermined time.
  • the current sensor 16 measures the current of the output line 1. More specifically, the current sensor 16 is, for example, a Hall element type current probe. The current sensor 16 measures the current flowing through the corresponding negative output line 1n every 6 seconds using the power received from the power supply circuit (not shown) of the monitoring device 111, and sends a signal indicating the measurement result to the detection processing unit 11. Output. The current sensor 16 may measure a current flowing through the plus side output line 1p.
  • the voltage sensor 17 measures the voltage of the output line 1. More specifically, the voltage sensor 17 measures the voltage between the plus-side copper bar 77p and the minus-side copper bar 77n every 6 seconds, and outputs a signal indicating the measurement result to the detection processing unit 11.
  • the detection processing unit 11 includes the measurement results indicated by the signals received from the current sensor 16 and the voltage sensor 17, the ID of the corresponding current sensor 16 (hereinafter also referred to as current sensor ID), and the ID of the voltage sensor 17 (hereinafter referred to as voltage).
  • the monitoring information including the sensor ID and the ID of the own monitoring device 111 (hereinafter also referred to as the monitoring device ID) is created.
  • the detection processing unit 11 creates a monitoring information packet in which the transmission source ID is its own monitoring device ID, the transmission destination ID is the ID of the collection device 151, and the data portion is monitoring information. Then, the detection processing unit 11 outputs the created monitoring information packet to the communication unit 14.
  • the detection processing unit 11 may include a sequence number in the monitoring information packet.
  • the communication unit 14 transmits the monitoring information packet received from the detection processing unit 11 to the collection device 151.
  • the collection device 151 can send and receive information via the aggregation lines 2 and 5. Specifically, the collection device 151 performs power line communication with the monitoring device 111 via the signal line 46 and the aggregation lines 2 and 5, for example, and receives monitoring information packets from the plurality of monitoring devices 111.
  • the collection device 151 has a counter and a storage unit. When receiving the monitoring information packet from the monitoring device 111, the collecting device 151 acquires the monitoring information from the received monitoring information packet and acquires the count value in the counter as the reception time. Then, after including the reception time in the monitoring information, the collection device 151 stores the monitoring information in a storage unit (not shown).
  • FIG. 7 is a diagram showing a configuration of the determination device in the monitoring system according to the embodiment of the present invention.
  • the determination apparatus 101 includes a determination unit 81, a generation unit 82, a communication processing unit (notification unit) 84, a storage unit 85, and an acquisition unit 86.
  • the ID of the monitoring apparatus 111 to be managed that is, the monitoring apparatus ID is registered.
  • the correspondence R1 between the monitoring device ID and the ID of each sensor included in the monitoring device 111 having the monitoring device ID, that is, the current sensor ID and the voltage sensor ID is registered.
  • the determination device 101 is, for example, a server, periodically acquires monitoring information from the collection device 151, and processes the acquired monitoring information. Note that the determination apparatus 101 may be configured to be incorporated in the collection apparatus 151, for example.
  • the communication processing unit 84 in the determination apparatus 101 transmits / receives information to / from other apparatuses such as the collection apparatus 151 via the network.
  • the communication processing unit 84 performs monitoring information collection processing at a designated daily processing timing, for example, at 0:00 every day. Note that if the determination device 101 is built in the collection device 151, monitoring information can be easily collected at shorter intervals.
  • the communication processing unit 84 refers to each monitoring device ID registered in the storage unit 85, corresponds to each monitored monitoring device ID, and has a 24-hour daily processing timing.
  • a monitoring information request for requesting monitoring information including a reception time that belongs to the daily processing timing (hereinafter also referred to as a processing date) from before is transmitted to the collection device 151.
  • the collection device 151 When the collection device 151 receives the monitoring information request from the determination device 101, the collection device 151 transmits one or more pieces of monitoring information satisfying the content of the monitoring information request to the determination device 101 in accordance with the received monitoring information request.
  • FIG. 8 is a diagram showing an example of monitoring information held by the determination device in the monitoring system according to the embodiment of the present invention.
  • communication processing unit 84 when receiving one or a plurality of pieces of monitoring information from collection device 151 as a response to the monitoring information request, stores the received pieces of monitoring information in storage unit 85 and notifies the completion of processing. Is output to the acquisition unit 86.
  • the acquisition unit 86 acquires measurement data based on the measurement result of the output of the power generation unit 78.
  • the acquisition unit 86 when the acquisition unit 86 receives a processing completion notification from the communication processing unit 84, the acquisition unit 86 refers to the correspondence relationship R1 registered in the storage unit 85, and includes a plurality of information in a certain minute included in the monitoring information.
  • the current value and the plurality of voltage values are acquired from the storage unit 85, the generated power is calculated by multiplying the acquired current value and voltage value for each current sensor ID, and output to the generation unit 82 as measurement data.
  • the generation unit 82 is data obtained by coarsening the temporal granularity of the measurement data, that is, data based on the measurement data in a certain period, and compared with the measurement data. Data with a larger time interval between element values such as generated power is generated.
  • the generation unit 82 calculates, for example, each generated power for one minute acquired by the acquisition unit 86 as measurement data, that is, an average value M of the generated power for ten times, and stores it in the storage unit 85. It outputs to the determination part 81.
  • the acquisition unit 86 and the generation unit 82 perform the same process on each generated power in the next one minute stored in the storage unit 85. And the acquisition part 86 and the production
  • the generation unit 82 may delete the measurement data for one day corresponding to each generated average value M from the storage unit 85.
  • the acquisition unit 86 refers to the correspondence relationship R1, acquires the minute data for each current sensor ID generated by the generation unit 82 from the storage unit 85 as measurement data, and outputs the measurement data to the generation unit 82.
  • the generation unit 82 selects, for example, the average value M at 10-minute intervals from the 1-minute data received from the acquisition unit 86 for one day, and arranges the selected average values M in time series for 10 minutes. Each data is generated and stored in the storage unit 85 and output to the determination unit 81.
  • the generation unit 82 may delete the 1-minute data corresponding to the generated 10-minute data from the storage unit 85.
  • the acquisition unit 86 refers to the correspondence relationship R1, selects 10-minute data for each current sensor ID generated by the generation unit 82 for one year, and stores the selected 10-minute data for each storage unit 85. As measurement data and output to the generation unit 82.
  • the generation unit 82 selects, for example, one year of data indicating the maximum value of the generated power in one day from each 10 minute data received from the acquisition unit 86, and sets the selected maximum value to the hour.
  • the daily data arranged in the series is generated and stored in the storage unit 85 and is output to the determination unit 81.
  • the generation unit 82 may delete, for example, every 10 minutes of data before the first day of the year corresponding to the generated daily data period from the storage unit 85.
  • the generation unit 82 is not limited to a configuration for newly generating daily data based on 10-minute data for one year, for example, and may be configured to update the generated daily data.
  • the acquisition unit 86 acquires data every 10 minutes on the processing date from the storage unit 85 and outputs it to the generation unit 82.
  • the acquisition unit 86 acquires the daily data generated or updated by the generation unit 82 from the storage unit 85 and outputs the acquired data to the generation unit 82.
  • the generation unit 82 deletes the maximum value of the first day in the daily data received from the acquisition unit 86, and selects the maximum value of the generated power indicated by the 10-minute data of the processing date received from the acquisition unit 86. Then, by adding the selected maximum value to the daily data, the daily data is updated, and the updated daily data is stored in the storage unit 85.
  • each of measurement data, 1-minute data, 10-minute data, and 1-day data is also referred to as determination data.
  • the determination part 81 determines the abnormality regarding the electric power generation part 78 using the different reference
  • the determination unit 81 uses determination data with different granularities for each criterion. For example, the determination unit 81 determines an abnormality related to the power generation unit 78 using three or more criteria. For example, the type of abnormality determined using each criterion is different.
  • the average value M calculated based on the measurement data is Compared to the average value M, the value drops rapidly.
  • the determination unit 81 determines such a rapid decrease in the average value M in a short period as abnormal using the first reference.
  • the first standard is, for example, whether or not the average value M has decreased by a predetermined value or more compared to the previous average value M.
  • the determination unit 81 determines that the corresponding power generation unit 78 is abnormal when the average value M decreases by a predetermined value or more using the first reference, compared to the previously calculated average value M, and is abnormal. (Hereinafter also referred to as first abnormality information) is output to the communication processing unit 84.
  • FIG. 9 is a diagram illustrating an example of data every 10 minutes determined to be abnormal.
  • the horizontal axis indicates time, and the vertical axis indicates generated power.
  • graph D1 shows the generated power of power generation unit 78 on a day that was sunny all day
  • graph D2 shows the generated power of power generation unit 78 on a day when it was cloudy in the morning
  • Graph D3 shows the generated power of the power generation unit 78 on the day when the afternoon was cloudy.
  • Determining unit 81 uses the second criterion to determine such a decrease in generated power in a certain time period of the day as abnormal.
  • the second criterion is, for example, that the data every 10 minutes is classified into a cluster in which the graph D2 is classified or a cluster in which the graph D3 is classified using the result of clustering of the data every 10 minutes by machine learning, for example, k-means. Whether or not.
  • the determination unit 81 determines that the corresponding power generation unit 78 is abnormal when the data is classified into the cluster into which the graph D2 is classified or the cluster into which the graph D3 is classified using the second criterion. Then, information indicating abnormality (hereinafter also referred to as second abnormality information) is output to the communication processing unit 84.
  • second abnormality information information indicating abnormality
  • the result of clustering for example, it is possible to detect a decrease in generated power in a certain time zone, and therefore, it can be used to estimate the cause of an abnormality.
  • the generated power of the power generation unit 78 on a day that was sunny all day was the graph D2 or the graph D3 shown in FIG. 9, the decrease in the generated power in the morning or the afternoon might be due to the influence of the shade, etc. It is done.
  • FIG. 10 is a diagram illustrating an example of daily data determined to be abnormal.
  • the horizontal axis indicates time, and the vertical axis indicates generated power.
  • a graph Y1 shows ideal generated power generated by the power generation unit 78 in one year, and a graph Y2 shows generated power of the power generation unit 78 in one year.
  • the generated power of power generation unit 78 is, for example, aged deterioration of solar cell panel 79, higher resistance of wiring solder in solar cell panel 79, or moisture intrusion into solar cell panel 79. Etc., it may decrease gradually.
  • the determination unit 81 determines that the state in which the generated power gradually decreases as described above is abnormal using the third reference.
  • the third criterion is, for example, whether or not the generated power has decreased by a threshold TH1 or more that is set based on the past generated power of the power generation unit 78 in the predetermined period K1.
  • the threshold value TH1 may be set based on the amount of reduction in the generated power of the other power generation unit 78 in the predetermined period K1.
  • the determination unit 81 determines that the corresponding power generation unit 78 is abnormal when the generated power is lower than the threshold value TH1 in a predetermined period K1, for example, one year, and information indicating that it is abnormal (hereinafter, third abnormality information). Is also output to the communication processing unit 84.
  • the communication processing unit 84 notifies the abnormality determined by the determination unit 81. For example, the notification content of the abnormality to be determined using each criterion is different.
  • the communication processing unit 84 converts the first abnormality information, the second abnormality information, and the third abnormality information received from the determination unit 81 into a format such as e-mail, etc. To the device.
  • Each abnormality information shows a different level, for example, when the degree of abnormality is distinguished by the level.
  • the acquisition unit 86 is not limited to the configuration in which the generated power is calculated as measurement data based on the plurality of current values and the plurality of voltage values included in the monitoring information, and the plurality of current values included in the monitoring information is measured data.
  • the structure acquired as follows may be sufficient.
  • the generation unit 82 calculates each current value for 1 minute acquired by the acquisition unit 86, that is, the average value M of the current values for 10 times.
  • the acquisition unit 86 is not limited to the configuration in which the generated power is calculated as measurement data based on the plurality of current values and the plurality of voltage values included in the monitoring information, and the plurality of voltage values included in the monitoring information are measured data.
  • the structure acquired as follows may be sufficient.
  • the generation unit 82 calculates each voltage value for 1 minute acquired by the acquisition unit 86, that is, an average value M of 10 voltage values.
  • the period for judging abnormality using the first standard, the second standard, and the third standard is not limited to 1 minute, 1 day, and 1 year, but may be 10 minutes, 1 hour, 1 week, etc. Good.
  • Each device in the monitoring system 301 includes a computer, and an arithmetic processing unit such as a CPU in the computer reads and executes a program including a part or all of each step of the following flowchart from a memory (not shown).
  • an arithmetic processing unit such as a CPU in the computer reads and executes a program including a part or all of each step of the following flowchart from a memory (not shown).
  • Each of the programs of the plurality of apparatuses can be installed from the outside.
  • the programs of the plurality of apparatuses are distributed while being stored in a recording medium.
  • FIG. 11 is a flowchart that defines an operation procedure when the determination apparatus according to the embodiment of the present invention performs abnormality determination related to the power generation unit.
  • determination device 101 receives monitoring information including a measurement result of an output of power generation unit 78 including a solar battery panel (step S101).
  • the determination apparatus 101 accumulates the received monitoring information (step S102).
  • the determination apparatus 101 acquires measurement data based on the measurement result included in the accumulated monitoring information (step S103).
  • the determination apparatus 101 generates and accumulates data every minute in which the time granularity of the measurement data is coarsened (step S104).
  • the determination apparatus 101 determines an abnormality related to the power generation unit 78 using the first reference from the acquired measurement data (step S105).
  • the determination device 101 determines that the power generation unit 78 is abnormal (YES in step 105)
  • the determination device 101 transmits the first abnormality information to the server (step S106).
  • the determination apparatus 101 generates and accumulates 10-minute data in which the temporal granularity of the 1-minute data is coarse based on the generated 1-minute data (step S107).
  • the determination apparatus 101 determines that the power generation unit 78 is normal (NO in step S105)
  • the determination apparatus 101 makes the time granularity of the minute data based on the generated minute data every 10 minutes. Data is generated and stored (step S107).
  • the determination apparatus 101 determines an abnormality related to the power generation unit 78 using the second reference from the data every 10 minutes (step S108).
  • step S108 when the determination device 101 determines that the power generation unit 78 is abnormal (YES in step S108), the determination device 101 transmits the second abnormality information to the server (step S109).
  • the determination apparatus 101 generates and accumulates the daily data in which the temporal granularity of the 10 minute data is coarse based on the generated 10 minute data (step S110).
  • the determination device 101 determines that the power generation unit 78 is normal (NO in step S108)
  • the determination device 101 generates and accumulates daily data with coarse temporal granularity of data every 10 minutes (step S110). .
  • the determination device 101 determines an abnormality related to the power generation unit 78 using the third reference from the daily data (step S111).
  • step S111 when determining device 101 determines that power generation unit 78 is abnormal (YES in step S111), it transmits third abnormality information to the server (step S112).
  • the determination apparatus 101 waits until new monitoring information is received (step S101).
  • step S111 when determining that the power generation unit 78 is normal (NO in step S111), the determination apparatus 101 waits until new monitoring information is received (step S101).
  • the determination apparatus is configured to determine an abnormality related to the power generation unit 78 using three or more criteria, the present invention is not limited to this.
  • the determination apparatus 101 may be configured to determine an abnormality related to the power generation unit 78 using two criteria.
  • the type of abnormality and the notification content determined using the first standard and the type of abnormality and the notification content determined using the second standard
  • the present invention is not limited to this.
  • the type of abnormality and notification content determined using the first standard may be the same as the type of abnormality and notification content determined using the second standard.
  • the acquisition unit 86 acquires measurement data based on the measurement result of the output of the power generation unit 78. Based on the measurement data acquired by the acquisition unit 86, the generation unit 82 generates one or a plurality of determination data in which the temporal granularity of the measurement data is coarse.
  • the determination unit 81 includes a plurality of pieces of data having different granularities and a plurality of pieces of data having different lengths among the measurement data acquired by the acquisition unit 86 and the one or more determination data generated by the generation unit 82.
  • the abnormality relating to the power generation unit 78 is determined using different criteria.
  • Such a configuration makes it possible to determine abnormalities in measured values over a relatively short period and abnormalities in measured values over a relatively long period.
  • abnormalities in a plurality of types of periods can be determined and various abnormality determinations can be made. For example, there is no change in measured values in a short period, and changes can be made by checking measurement results over a long period. An abnormality that can be confirmed can be detected. Further, in the measurement result over a long period, a change in the measurement value in a short period that cannot be captured due to coarse data granularity can be detected by checking the measurement result over a short period.
  • the determination apparatus can improve the abnormality determination of the solar power generation system.
  • the determination unit 81 determines an abnormality related to the power generation unit 78 using three or more criteria.
  • the type of abnormality determined using each criterion is different.
  • the communication processing unit 84 notifies the abnormality determined by the determination unit 81. And the notification content of the abnormality determined using each reference
  • the determination method first, measurement data data based on the measurement result of the output of the power generation unit 78 including the solar cell panel 79 is acquired. Next, based on the acquired measurement data, one or more determination data in which the temporal granularity of the measurement data is coarse is generated. Next, among the acquired measurement data and the generated one or more determination data, an abnormality related to the power generation unit 78 using a plurality of data over a period having different lengths and a plurality of data having different granularities, respectively. Determine.
  • the abnormality determination of the solar power generation system can be improved.
  • a determination device used in a solar power generation system including a power generation unit including a solar battery panel, An acquisition unit for acquiring data based on the measurement result of the output of the power generation unit; Based on the data acquired by the acquisition unit, a generation unit that generates one or a plurality of data with coarser temporal granularity of the data; Of the data acquired by the acquisition unit and the one or more data generated by the generation unit, a plurality of data over a period of different lengths and a plurality of data having different granularities, respectively, and different criteria.
  • a determination unit for determining an abnormality related to the power generation unit using The power generation unit is a string in which a plurality of solar cell panels are connected in series, The output of the said electric power generation part is a determination apparatus which is the generated electric power of the said electric power generation part, an electric current, or a voltage.

Landscapes

  • Photovoltaic Devices (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

L'invention concerne un dispositif de détermination, un procédé de détermination et un programme de détermination qui permettent d'améliorer la détermination d'une anomalie dans un système de production d'énergie solaire. L'invention concerne un dispositif de détermination servant à un système de production d'énergie solaire comprenant une unité de production d'énergie comportant un panneau solaire. Le dispositif de détermination est pourvu : d'une unité d'acquisition qui acquiert des données en fonction du résultat de mesure d'une sortie de l'unité de production d'énergie ; d'une unité de production qui, d'après les données acquises au moyen de l'unité d'acquisition, produit un ou plusieurs éléments de données dans lesquels la granularité temporelle des données acquises a été rendue plus grossière ; et d'une unité de détermination qui détermine, à l'aide respectivement de différentes normes, une anomalie concernant l'unité de production d'énergie à partir d'une pluralité d'éléments de données, parmi les données acquises par l'unité d'acquisition et l'élément ou les éléments de données produits par l'unité de production, qui s'étendent sur des périodes de différentes longueurs et ont des granularités différentes.
PCT/JP2018/045861 2018-02-01 2018-12-13 Dispositif de détermination, procédé de détermination et programme de détermination Ceased WO2019150779A1 (fr)

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JP2019568912A JP7163931B2 (ja) 2018-02-01 2018-12-13 判定装置、判定方法および判定プログラム

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023095387A1 (fr) * 2021-11-29 2023-06-01 住友電気工業株式会社 Dispositif de détermination et procédé de détermination

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2013172597A (ja) * 2012-02-22 2013-09-02 Sekisui Chem Co Ltd 太陽光発電装置の発電量管理システム
JP2015079833A (ja) * 2013-10-16 2015-04-23 株式会社スカイテクノロジー 状態推定装置

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5746098B2 (ja) * 2012-06-11 2015-07-08 トヨタ自動車株式会社 自然エネルギーを利用した発電システムの劣化診断装置
JP6608619B2 (ja) * 2015-05-26 2019-11-20 東京電力ホールディングス株式会社 太陽光発電システムの発電状況診断方法及びその装置

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2013172597A (ja) * 2012-02-22 2013-09-02 Sekisui Chem Co Ltd 太陽光発電装置の発電量管理システム
JP2015079833A (ja) * 2013-10-16 2015-04-23 株式会社スカイテクノロジー 状態推定装置

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023095387A1 (fr) * 2021-11-29 2023-06-01 住友電気工業株式会社 Dispositif de détermination et procédé de détermination

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