JP2020198711A - Abnormality detection system and abnormality detection method of photovoltaic power generation facility - Google Patents

Abstract

To detect an abnormality in a photovoltaic power generation facility early and appropriately without imposing a burden on a consumer.SOLUTION: An abnormality detection method of a photovoltaic power generation facility includes steps of measuring and storing a forward power flow to a consumer M side and a reverse power flow from the customer M side, selecting the consumer M located in an area where the weather is at least the same as that of a target consumer M1 as a reference consumer M2 based on these measured values, and determining whether a photovoltaic power generation facility 2 of the target consumer M1 is abnormal based on a measured value of the target consumer M1 and a measured value of the reference consumer M2 in the near period going back a predetermined period from the present time.SELECTED DRAWING: Figure 1

Description

The present invention relates to an abnormality detection system and an abnormality detection method for a photovoltaic power generation facility that detects an abnormality in the photovoltaic power generation facility.

In recent years, an increasing number of consumers have installed photovoltaic power generation facilities in houses and the like to use the power generated by the photovoltaic power generation facilities in the daytime and sell the surplus power to electric power companies. For such consumers, even if the photovoltaic power generation equipment breaks down or cannot be automatically restored after a power outage, it may not be noticed if the power is supplied by the electric power company. In many cases, if such a situation continues for a long period of time, it will not be possible to earn income from selling electricity.

For this reason, a mechanism for detecting an abnormality in the photovoltaic power generation equipment and notifying the user is required. However, if a sensor, a circuit, a communication means, etc. for detecting the abnormality are provided for each photovoltaic power generation equipment, the equipment cost and the maintenance cost will increase. Not only is it bulky, but it is also difficult to install in existing photovoltaic power generation facilities. On the other hand, there is known a photovoltaic power generation management device that can analyze the factors that reduce the amount of power generation and grasp the factors that reduce the amount of power generation over time (see, for example, Patent Document 1). This device calculates the power generation efficiency using the amount of power generation, calculates the ideal value of the power generation efficiency using the amount of solar radiation and the temperature of the photovoltaic power generation panel, and is the ratio of the calculated power generation efficiency to the ideal value. Is to determine whether or not is decreasing over time.

JP-A-2015-47030

However, in the apparatus described in Patent Document 1, a pyranometer, a thermometer, and the like must be provided for each customer, and the equipment cost and maintenance cost are high, which imposes a heavy burden on the customer. In addition, it is only possible to know the deterioration of the photovoltaic power generation panel over time and its factors, and it is not possible to know at an early stage whether or not an abnormality such as power generation stoppage has occurred at this time.

Therefore, the present invention provides an abnormality detection system and an abnormality detection method for photovoltaic power generation facilities, which can detect abnormalities such as shutdown of photovoltaic power generation facilities at an early stage and appropriately without burdening consumers. The purpose.

In order to solve the above problems, the invention of claim 1 is arranged for each customer provided with a photovoltaic power generation facility, and the forward power flow from the distribution system to the customer side and the forward flow from the customer side to the customer side are described. A measuring instrument for measuring the reverse power flow to the distribution system, a measuring value storage means for storing the measured value by each measuring instrument, and an area where the weather is at least the same as that of the monitored consumer based on each measured value. The located consumer is selected as the reference consumer, and the monitored consumer is based on the measured value of the monitored consumer and the measured value of the reference consumer in the near period retroactively from the present time by a predetermined period. It is an abnormality detection system of a photovoltaic power generation facility, which comprises a detection means for determining whether or not the photovoltaic power generation facility is abnormal.

The invention of claim 2 is the abnormality detection system according to claim 1, wherein when the detection means has a reverse power flow of a predetermined value or more in the measured value of the customer to be monitored, the photovoltaic power generation is performed. It is characterized in that it is determined that the equipment is not abnormal.

The invention of claim 3 is the anomaly detection system according to claim 1 or 2, wherein the detection means measures the consumer to be monitored because the measurement value of the reference consumer has a reverse power flow of a predetermined value or more. When there is no reverse power flow in the value, it is determined that the photovoltaic power generation facility is abnormal.

The invention of claim 4 is the abnormality detection system according to any one of claims 1 to 3, wherein the detection means refers to a consumer having a measurement value similar to the normal measurement value of the customer to be monitored. It is characterized by being elected as.

The invention of claim 5 includes an alarm means for outputting an alarm to a customer to be monitored when the detection means determines that the abnormality is abnormal in the abnormality detection system according to claims 1 to 4. It is characterized by that.

The invention of claim 6 is a measurement step for measuring a forward power flow from a distribution system to a consumer side provided with a photovoltaic power generation facility and a reverse power flow from the customer side to the distribution system, and the measurement. Based on the measurement value storage step that stores the measurement value of each consumer measured in the step and each measurement value stored in the measurement value storage step, the customer is located in the same area as the monitored customer at least in the same weather. The solar power of the monitored consumer is selected as the reference consumer, and based on the measured value of the monitored consumer and the measured value of the reference consumer in the near period retroactively from the present time by a predetermined period. This is an abnormality detection method for photovoltaic power generation equipment, which comprises a detection step for determining whether or not the photovoltaic power generation equipment is abnormal.

According to the inventions of claims 1 and 6, the photovoltaic power generation facility of the target customer is abnormal based on the measured value of the monitored consumer (target customer) and the measured value of the reference customer. Since it is determined whether or not it is, it is possible to detect an abnormality such as a stoppage of the photovoltaic power generation facility early and appropriately. For example, in the near future, if there is reverse power flow within the measured value of the reference consumer with the same weather as the target customer, but there is no reverse power flow within the measured value of the target customer, a factor other than the weather It is determined that the target customer's photovoltaic power generation equipment is not generating power, that is, there is an abnormality. By making such a determination frequently, it is possible to detect an abnormality such as a stoppage of the photovoltaic power generation facility at an early stage and appropriately. In addition, it is only necessary to dispose a measuring instrument for measuring the forward power flow and the reverse power flow on the consumer side, and such a measuring instrument should be arranged for the customer who is provided with the photovoltaic power generation equipment. Since it is a thing, there is no burden on consumers and it can be widely applied.

According to the invention of claim 2, if there is a reverse power flow of a predetermined value or more within the measured value in the near term of the target consumer, it is determined that the photovoltaic power generation facility is not abnormal. For example, if there is normal reverse power flow, it is determined that the photovoltaic power generation facility is not abnormal, so that it is possible to more appropriately detect that it is not abnormal. Moreover, by setting a predetermined value to an appropriate value, it is possible to more appropriately and accurately detect the presence or absence of an abnormality.

According to the invention of claim 3, if there is a reverse power flow of a predetermined value or more in the measured value of the reference consumer in the near period, but there is no reverse power flow in the measured value of the target customer, It is determined that the photovoltaic power generation equipment is abnormal. In other words, if the reference consumer generates electricity properly and there is reverse power flow above the specified value, but there is no reverse power flow in the target customer with the same weather, the target customer's photovoltaic power generation equipment is appropriate. Since it is determined that there is an abnormality without generating power, it is possible to properly detect an abnormality in the photovoltaic power generation equipment. Moreover, by setting a predetermined value to an appropriate value, it is possible to more appropriately and accurately detect the presence or absence of an abnormality.

According to the invention of claim 4, since a consumer whose normal measurement value, that is, a customer whose power supply / demand situation (electric power trading situation) is similar to that of the target customer is selected as a reference consumer, a more appropriate measurement of the reference consumer is made. Based on the value, it becomes possible to more appropriately detect an abnormality in the photovoltaic power generation facility. For example, based on the measured values of reference consumers who have similar times of reverse power flow, whether or not the target customers also have reverse power flow during the time of reverse power flow occurring at the reference customers in the near future. By confirming this, it becomes possible to more appropriately detect an abnormality in the photovoltaic power generation equipment.

According to the invention of claim 5, when it is determined that the photovoltaic power generation facility is abnormal, an alarm is output to the target consumer, so that the target customer can take prompt and appropriate measures. It is possible to avoid the situation where power cannot be sold for a period of time.

It is a schematic block diagram which shows the abnormality detection system of the photovoltaic power generation facility which concerns on embodiment of this invention. It is a schematic block diagram which shows the monitoring server of the abnormality detection system of FIG. It is a figure which shows the data structure of the consumer database of the monitoring server of FIG. An example of the measured value stored in the measured value database of the monitoring server of FIG. 2 is shown. (A) is a measured value when there is no abnormality in the photovoltaic power generation equipment, and (b) is an abnormality in the photovoltaic power generation equipment. The measured value of the case is shown. It is a flowchart which shows the detection task of the monitoring server of FIG. It is a timing chart which shows the operation and operation of the abnormality detection system of FIG.

Hereinafter, the present invention will be described based on the illustrated embodiment.

FIG. 1 is a schematic configuration diagram showing an abnormality detection system (hereinafter, simply referred to as “abnormality detection system”) 1 of a photovoltaic power generation facility according to an embodiment of the present invention. The abnormality detection system 1 is a system for detecting an abnormality in the photovoltaic power generation facility 2, and is a smart meter (meter) 3 arranged in each customer (customer's house) M provided with the photovoltaic power generation facility 2. And a monitoring server 4 of the electric power company. Here, in this embodiment, the detection service by the abnormality detection system 1 is applied only to the customer M who has applied. Further, reference numeral 102 in the figure is a distribution line (distribution system) erected on the utility pole 101.

The smart meter 3 measures the forward power flow (power consumption) from the distribution line 102 to the consumer M side and the reverse power flow (sales power consumption) from the customer M side, that is, the photovoltaic power generation facility 2 to the distribution line 102. It is a measuring instrument and has a communication function. That is, the electric energy of the forward power flow and the reverse power flow is measured every predetermined time, for example, every 30 minutes, and the measured value is transmitted to the monitoring server 4 in real time. Here, the communication method for communicating with the monitoring server 4 may be any communication method such as power line carrier communication (PLC) by the distribution line 102. Further, the communication terminal such as the mobile phone of the consumer M and the monitoring server 4 can freely communicate with each other via the network NW.

As shown in FIG. 2, the monitoring server 4 mainly includes a consumer database 41, a measurement value database (measurement value storage means) 42, a communication unit 43, a detection task (detection means) 44, and an alarm task (alarm). Means) 45 and a central processing unit 46 for controlling them. Here, some of them may be provided in other servers, computers, or the like so as to cooperate with each other.

The consumer database 41 is a database that stores information about each customer M, and as shown in FIG. 3, for each contract number 411, the customer name 412, the instrument number 413, the sunlight 414, the location 415, and the contact information. 416, service 417, weighing value 418, and other 419 are stored. The contract number 411 stores identification information for identifying the contract between the consumer M and the electric power company, and the customer name 412 stores identification information such as a name for identifying the customer M. The instrument number 413 stores the identification information of the smart meter 3 arranged in the customer M, and the solar power 414 indicates whether or not the photovoltaic power generation facility 2 is installed in the consumer M. Information (for example, power generation capacity) regarding the photovoltaic power generation facility 2 when it is installed is stored.

The location 415 stores location information such as the latitude and longitude of the customer M, and the contact 416 stores contact information such as the customer M's email address and telephone number. The service 417 stores whether or not the consumer M is the target of the detection service, and the measurement value 418 indicates that the abnormality of the solar power generation facility 2 of the customer M is past by the abnormality detection system 1. The date and time of detection when it is detected in is stored.

The measurement value database 42 is a database that stores the measurement values by each smart meter 3, and the electric energy of the forward power flow or the reverse power flow every 30 minutes as shown in FIG. 4 is measured over time for each identification information of the smart meter 3. It is remembered in. In this figure, the positive electric energy shown by the solid line is the forward power flow value, the negative electric energy shown by the broken line is the reverse power flow value, and one scale on the horizontal axis indicates one day.

The communication unit 43 is an interface for communicating with each smart meter 3 and a communication terminal of each consumer M.

The detection task 44 is located in an area where the weather is at least the same as that of the monitored customer M (hereinafter referred to as “target customer M1”) based on each measurement value in the measurement value database 42 (neighboring to the target customer M1). ) Consumer M is selected as the reference consumer M2, and the solar power of the target consumer M1 is based on the measured value of the target consumer M1 and the measured value of the reference consumer M2 in the near period retroactively from the present time. This is a task program for determining whether or not the power generation facility 2 is abnormal. That is, in this embodiment, the measured value of the target consumer M1 and the measured value of the reference consumer M2 are set in the near period, that is, the latest one week, which is started periodically every week and goes back a predetermined period from the present time. By comparing, it is determined whether or not the photovoltaic power generation facility 2 of the target consumer M1 is abnormal. Here, it may be started every day or several days instead of every week, and the determination may be made based on the measured values of the past one day or several days.

Specifically, as shown in FIG. 5, first, the weighing value of the first target consumer M1 to which the detection service is applied is acquired from the weighing value database 42 (step S1). That is, the identification information of the smart meter 3 of the first customer M, which is stored in the service 417 of the consumer database 41 to be applied to the detection service, is acquired from the instrument number 413, and the measurement value of this identification information is obtained. Is obtained from the weighing value database 42.

Next, it is determined whether or not there is reverse power flow of the fine weather determination value (predetermined value) C or more in the past week of the acquired measured value (step S2). Here, the fine weather determination value C is a reverse power flow value that is assumed to be measured if the weather is fine and the photovoltaic power generation facility 2 is normal, and depends on the power generation capacity of the photovoltaic power generation facility 2 and the like. Then, for example, it is set based on the average reverse power flow value in the past seasons during sunny days. Then, when there is a reverse power flow of the clear judgment value C or more (when “Y” in step S2) as in the third timing T3 of FIG. 4A, the photovoltaic power generation facility 2 is not abnormal. It is determined that it is normal (step S3).

On the other hand, when there is no reverse power flow of the clear judgment value C or more (when “N” in step S2), the reference consumer M2 is selected (step S4). The reference consumer M2 is a photovoltaic power generation system that is expected to operate in the same manner as the photovoltaic power generation facility 2 of the target consumer M1 in the same power supply and demand situation (electric power trading status) as the target consumer M1. It is a consumer M in which the equipment 2 is arranged, and in this embodiment, the customer M is located in the same area with the same weather, and the measured value is similar to the measured value of the target customer M1 in normal times. Select consumer M.

Specifically, among the customers M who are located within a predetermined range from the location of the target customer M1 and in which the photovoltaic power generation facility 2 is arranged, the past normal times (abnormality of the photovoltaic power generation facility 2) A customer M having the same power flow tendency such as the timing of reverse power flow generation is selected during the determined period and the period excluding the time of power failure. For example, when FIG. 4 (b) is the measured value of the target consumer M1, the customer M whose measured value is FIG. 4 (a) having the same tidal current tendency is selected as the reference consumer M2. Further, a consumer M whose power generation capacity and aging (deterioration degree) of the photovoltaic power generation facility 2 are similar may be selected as a reference consumer M2.

Such selection of the reference consumer M2 may be performed each time the detection task 44 is started, but the reference consumer M2 is selected in advance for all target consumers M1 and stored in the customer database 41. You may leave it. Then, the measured value of the reference consumer M2 selected in this way for the most recent week is acquired from the measured value database 42 (step S5).

Next, it is determined whether or not the measured values of the target consumer M1 and the reference consumer M2 in the last week satisfy the first condition (step S6). Here, the first condition is a condition that the measured value of the reference consumer M2 has a reverse power flow of a clear judgment value (predetermined value) C or more and the measured value of the target consumer M1 has no reverse power flow. ..

That is, if the reference consumer M2 generates electricity properly and there is a reverse power flow of the clear judgment value C or more, but the target customer M1 has the same weather and the same tidal current tendency and there is no reverse power flow, the target demand. It is determined that the photovoltaic power generation facility 2 of the house M1 is not generating power properly and there is an abnormality. Here, the fine weather determination value C of the reference consumer M2 is set in the same manner as the fine weather judgment value C of the target consumer M1 described above, but it does not have to be the same value as the fine weather judgment value C of the target consumer M1.

For example, in the weighed value of the reference consumer M2, even though there is reverse power flow of the clear judgment value C or more as in the third timing T3 of FIG. As shown in 4 (b), if there is no reverse power flow at the same third timing T3, it is presumed that the photovoltaic power generation facility 2 of the target customer M1 is abnormal. Then, when this condition is satisfied (in the case of "Y" in step S6), it is determined that the photovoltaic power generation facility 2 is abnormal (step S7), and the contact information of the target customer M1 is used as the contact information 416. And store it in memory. Further, in this embodiment, when the first condition is satisfied, the photovoltaic power generation facility 2 is stored in the memory as a serious abnormality due to a failure. Further, the detection date and time, that is, the activation date and time of the detection task 44 is stored in the measurement value 418.

On the other hand, when the first condition is not satisfied (in the case of "N" in step S6), whether or not the measured values of the target consumer M1 and the reference consumer M2 in the last week satisfy the second condition. Is determined (step S8). Here, the second condition is a condition in which the photovoltaic power generation facility 2 has not stopped due to failure, but it is presumed that there is some abnormality such as deposits on the solar panel. Including conditions such as.

First, there is reverse power flow in the measured value of the target consumer M1, but it is smaller than normal time compared to the reverse power flow of the measured value of the reference consumer M2 at the same timing. Secondly, in normal times, the timing of reverse power flow generation of the target consumer M1 and the reference consumer M2 is the same, and as shown in the timings T1 and T2 of FIG. It is a condition that there is no reverse power flow in the measured value of the target consumer M1 as shown in timings T1 and T2 in FIG. 4B even though there is reverse power flow less than the value C.

Then, when the second condition is satisfied (in the case of "Y" in step S8), it is determined that the photovoltaic power generation facility 2 is abnormal (step S7), and the contact information of the target customer M1 is communicated. It is acquired from the previous 416 and stored in the memory. Further, in this embodiment, when the second condition is satisfied, the photovoltaic power generation facility 2 is stored in the memory as a minor abnormality although the failure has not stopped. Further, the detection date and time, that is, the activation date and time of the detection task 44 is stored in the measurement value 418.

On the other hand, when the second condition is not satisfied (in the case of "N" in step S8), it is determined that the photovoltaic power generation facility 2 is normal rather than abnormal (step S3). Then, the measurement value of the next target consumer M1 to which the detection service is applied is acquired from the measurement value database 42 (step S9), and the process returns to step S2 to repeat the same process. As described above, in this embodiment, the presence or absence of an abnormality is periodically detected for all the target consumers M1, but it can be detected at an arbitrary date and time (for example, after the power failure is restored) or any target demand. It may be detected only for the house M1.

The alarm task 45 is a task program that outputs an alarm to the target consumer M1 determined to be abnormal in the detection task 44. That is, the alarm information indicating that the photovoltaic power generation facility 2 is abnormal is provided to the contact information of all the target consumers M1 which is started after the processing of the detection task 44 is completed and is detected as abnormal and stored in the memory. It is output by e-mail, telephone, or the like via the communication unit 43. At this time, the alarm information includes information on whether it is a serious abnormality or a minor abnormality.

Next, the operation of the abnormality detection system 1 having such a configuration, the abnormality detection method of the photovoltaic power generation facility by the abnormality detection system 1, and the like will be described.

First, as shown in FIG. 6, each smart meter 3 measures the forward power flow and the reverse power flow every 30 minutes (measurement step), and when the measured value is transmitted to the monitoring server 4 (step S11), This measured value is stored in the measured value database 42 (measured value storage step, step S12). Next, at a predetermined time, the detection task 43 is activated (step S13), and as described above, it is determined whether or not the photovoltaic power generation facility 2 of each target consumer M1 is abnormal (detection step). ). Then, the alarm information is output from the monitoring server 4 to the target consumer M1 determined to be abnormal (alarm step, step S14).

As described above, according to the abnormality detection system 1 and the abnormality detection method, the photovoltaic power generation facility 2 of the target consumer M1 is abnormal based on the measured value of the target consumer M1 and the measured value of the reference consumer M2. Since it is determined whether or not there is an abnormality, it is possible to detect an abnormality such as a stoppage of the photovoltaic power generation facility 2 early and appropriately. For example, in the last week, when there is reverse power flow in the measured value of the reference consumer M2 having the same weather as the target customer M1, but there is no reverse power flow in the measured value of the target customer M1 at the same timing. It is determined that the photovoltaic power generation facility 2 of the target consumer M1 is not generating power due to factors other than the weather, that is, there is an abnormality. Then, by making such a determination frequently and regularly, it becomes possible to detect an abnormality such as a stoppage of the photovoltaic power generation facility 2 early and appropriately. Further, it is only necessary to dispose a smart meter 3 for measuring forward power flow and reverse power flow on the customer M side, and such a smart meter 3 is provided to the customer M provided with the photovoltaic power generation facility 2. Since it should be arranged (existing one), there is no burden on the consumer M and it can be widely applied.

Further, if there is a reverse power flow of the fine weather determination value C or more within the measured value of the target consumer M1 in the last week, it is determined that the photovoltaic power generation facility 2 is not abnormal. For example, as described above, if there is a normal reverse power flow, it is determined that the photovoltaic power generation facility 2 is not abnormal, so that it is possible to more appropriately detect that it is not abnormal. Moreover, by setting the fine weather determination value C to an appropriate value, it is possible to more appropriately and accurately detect the presence or absence of an abnormality.

Furthermore, in the last week, if there is a reverse power flow within the measured value of the reference consumer M2 but there is no reverse power flow within the measured value of the target consumer M1, the sunlight It is determined that the power generation facility 2 is abnormal. That is, if the reference consumer M2 generates electricity properly and there is a reverse power flow of the clear judgment value C or more, but there is no reverse power flow in the target consumer M1 with the same weather, the solar power of the target customer M1 Since it is determined that the power generation facility 2 is not generating power properly and there is an abnormality, it is possible to properly detect the abnormality of the photovoltaic power generation facility 2. Moreover, by setting the fine weather determination value C to an appropriate value, it is possible to more appropriately and accurately detect the presence or absence of an abnormality.

In addition, since the consumer M whose normal measurement value, that is, the power supply / demand status (electric power trading status) is similar to the target consumer M1, is selected as the reference consumer M2, it is based on the more appropriate measurement value of the reference consumer M2. Therefore, it becomes possible to detect the abnormality of the photovoltaic power generation facility 2 more appropriately. For example, as described above, the time zone (date and time) of the reverse power flow occurring in the reference consumer M2 in the last week based on the measured value of the reference consumer M2 having a similar time zone in which the reverse power flow occurs. By confirming whether or not the target consumer M1 also has reverse power flow, it is possible to more appropriately detect the abnormality of the photovoltaic power generation facility 2.

On the other hand, if it is determined that the photovoltaic power generation facility 2 is abnormal, an alarm is output to the target consumer M1, so that the target consumer M1 can take prompt and appropriate measures and can sell power for a long period of time. It is possible to avoid the situation where it disappears. Moreover, since it is output to the target consumer M1 whether it is a serious abnormality such as a failure stop or a minor abnormality, it is possible to take prompt and appropriate measures according to the degree of the abnormality.

Although the embodiment of the present invention has been described above, the specific configuration is not limited to the above-described embodiment, and even if there is a design change or the like within a range that does not deviate from the gist of the present invention. Included in the invention. For example, in the above embodiment, one reference consumer M2 is selected for the target consumer M1, but a plurality of reference consumers M2 are selected based on the measured values of the plurality of reference consumers M2. (For example, the average value may be used or sequentially compared) to determine whether or not there is an abnormality in the photovoltaic power generation facility 2 of the target consumer M1. Further, conditions other than the above may be provided as the first condition and the second condition of the detection task 44.

1 Abnormality detection system for photovoltaic power generation equipment 2 Solar power generation equipment 3 Smart meter (measuring instrument)
4 Monitoring server 41 Consumer database 42 Weighed value database (Weighed value storage means)
43 Communication unit 44 Detection task (detection means)
45 Alarm task (alarm means)
102 Distribution line (distribution system)
M Demander M1 Target Demander M2 Reference Demander C Fine Judgment Value (Predetermined Value)

Claims (6)

A measuring instrument that is arranged in each customer equipped with a photovoltaic power generation facility and measures the forward power flow from the distribution system to the customer side and the reverse power flow from the customer side to the power distribution system.
A measuring value storage means for storing the measured value by each measuring instrument and
Based on each of the measured values, a customer located in an area where the weather is at least the same as that of the monitored customer is selected as a reference customer, and the measured value of the monitored customer in the near period retroactively from the present time by a predetermined period. And the detection means for determining whether or not the photovoltaic power generation equipment of the monitored consumer is abnormal based on the measured value of the reference consumer and
An abnormality detection system for photovoltaic power generation equipment, which is characterized by being equipped with. The detection means determines that the photovoltaic power generation facility is not abnormal when there is a reverse power flow of a predetermined value or more in the measured value of the customer to be monitored.
The abnormality detection system for photovoltaic power generation equipment according to claim 1. The detection means determines that the photovoltaic power generation facility is abnormal when the measured value of the reference consumer has a reverse power flow equal to or higher than a predetermined value and the measured value of the monitored customer does not have a reverse power flow. judge,
The abnormality detection system for a photovoltaic power generation facility according to any one of claims 1 or 2. The detection means selects a consumer having a metric value similar to the normal metric value of the monitored consumer as the reference consumer.
The abnormality detection system for a photovoltaic power generation facility according to any one of claims 1 to 3, characterized in that. An alarm means for outputting an alarm to the monitored consumer when the detection means determines that the abnormality is abnormal.
The abnormality detection system for a photovoltaic power generation facility according to any one of claims 1 to 4, characterized in that. A weighing step for measuring the forward power flow from the distribution system to the customer side where the photovoltaic power generation facility is installed and the reverse power flow from the customer side to the power distribution system.
A measurement value storage step for storing the measurement value of each consumer measured in the measurement step, and a measurement value storage step.
Based on each metric value stored in the metric value storage step, a consumer who is located in an area where the weather is at least the same as that of the monitored consumer is selected as a reference consumer, and the said A detection step for determining whether or not the photovoltaic power generation facility of the monitored consumer is abnormal based on the measured value of the monitored consumer and the measured value of the reference consumer, and
A method for detecting an abnormality in a photovoltaic power generation facility, which comprises the above.

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