WO2020261960A1 - Monitoring system for concentrating photovoltaic power generation device, method for detecting tracking deviation, and program for detecting tracking deviation - Google Patents

Abstract

This monitoring system for a concentrating photovoltaic power generation device is provided with: a plurality of concentrating photovoltaic power generation devices that constitute power generation equipment; and a monitoring device that obtains information of a power generation amount from each of the concentrating photovoltaic power generation devices. The monitoring device converts, into a standard deviation, obtained power generation amounts for all concentrating photovoltaic power generation devices in operation, and compares the standard deviation with a determination value of a tracking deviation to determine the presence or absence of tracking deviation.

Description

Monitoring system for concentrating photovoltaic power generation equipment, tracking deviation detection method, and tracking deviation detection program

The present disclosure relates to a monitoring system for a concentrating photovoltaic power generation device, a tracking deviation detection method, and a tracking deviation detection program.
This application claims priority based on Japanese Application No. 2019-117497 filed on June 25, 2019, and incorporates all the contents described in the Japanese application.

In a condensing photovoltaic power generation device, a large number of modules, which are an aggregate of optical units that collect the sunlight condensed by a Fresnel lens in a cell to generate electricity, are arranged to form an array. The array is supported by a support device and driven to track the sun on two axes, azimuth and elevation (see, for example, Patent Document 1).

Japanese Unexamined Patent Publication No. 2014-226205

The present disclosure includes the following embodiments. However, the present invention is defined by the claims.

The monitoring system of the concentrating photovoltaic power generation device of the present disclosure is
Multiple concentrating photovoltaic power generation devices that make up the power generation facility,
A monitoring device for acquiring information on the amount of power generated from each of the concentrating photovoltaic power generation devices is provided.
The monitoring device converts the amount of generated power acquired for all the concentrating photovoltaic power generation devices in operation into a standard deviation, compares the standard deviation with the determination value of the tracking deviation, and determines the presence or absence of the tracking deviation. judge.

The tracking deviation detection method of the present disclosure is described.
For each of the multiple concentrating photovoltaic power generation devices that make up the power generation facility, the amount of power generated per unit time is calculated for each unit.
The value obtained by dividing the obtained power generation amount by the reference value is used as the power generation amount coefficient for each unit time.
For all the concentrating photovoltaic power generation devices in operation, the daily power generation coefficient is converted into the standard deviation.
The presence or absence of tracking deviation is determined by comparing the standard deviation with the determination value of tracking deviation.

The tracking deviation detection program of the present disclosure is
A function to obtain the amount of power generated per unit time for each of the multiple concentrating photovoltaic power generation devices that make up the power generation facility.
A function that uses the value obtained by dividing the obtained power generation amount by the reference value as the power generation amount coefficient for each unit time.
A function to convert the daily power generation coefficient into a standard deviation for all the concentrating photovoltaic power generation devices in operation, and
A function for determining the presence or absence of tracking deviation by comparing the standard deviation with the determination value of tracking deviation.
It is a tracking deviation detection program to be realized by a computer.

FIG. 1 is a perspective view of an example of a concentrating photovoltaic power generation device for one unit as viewed from the light receiving surface side, and shows the condensing photovoltaic power generation device in a completed state. FIG. 2 is a perspective view of an example of a concentrating photovoltaic power generation device for one unit as viewed from the light receiving surface side, and shows the condensing photovoltaic power generation device in a state during assembly. As an example, FIG. 3 is a perspective view showing the posture of the array facing the sun. FIG. 4 is a plan view of a concentrating photovoltaic power generation device installed in an outdoor area as a power generation facility (power plant) for business use. FIG. 5 is a diagram showing an example of connection of a concentrating photovoltaic power generation device to a commercial power system and connection to a monitoring system. FIG. 6 is a flowchart showing the processing contents executed by the computer of the monitoring device. FIG. 7 is a graph showing changes in the amount of power generated per day by dividing all the concentrating photovoltaic power generation devices into five groups. FIG. 8 is an example of a daily report printed out on time every day.

[Issues to be solved by this disclosure]
In a power generation facility (power plant) in which a large number of concentrating photovoltaic power generation devices are arranged on a vast site, a monitoring device for monitoring the generated power of a large number of concentrating photovoltaic power generation devices is installed. In such a case, it is not easy to detect a small tracking deviation even if the numerical value displayed on the display is casually viewed. Moreover, when there are a large number of concentrating photovoltaic power generation devices, it is inefficient to carefully monitor each one, and it is extremely difficult to detect a relatively small tracking deviation.

In view of such a problem, an object of the present disclosure is to make it possible to easily detect a small tracking deviation in a concentrating photovoltaic power generation device.

[Effect of the present disclosure]
According to the present disclosure, a small tracking deviation can be easily detected in a concentrating photovoltaic power generation device.

[Explanation of Embodiments of the present disclosure]
The embodiments of the present disclosure include at least the following as a gist thereof.

(1) The monitoring system of the concentrating photovoltaic power generation device of the present disclosure is the amount of power generated from each of the plurality of concentrating photovoltaic power generation devices constituting the power generation facility and the concentrating photovoltaic power generation device. The monitoring device includes a monitoring device for acquiring information, and the monitoring device converts the generated electric energy acquired for all the concentrating photovoltaic power generation devices in operation into a standard deviation, and the standard deviation is tracked. The presence or absence of tracking deviation is determined by comparing with the determination value.

According to the monitoring system of such a concentrating photovoltaic power generation device, the presence or absence of tracking deviation can be determined from the standard deviation based on the amount of generated power. Therefore, it is possible to easily detect a concentrating photovoltaic power generation device having a small tracking deviation from among a plurality of condensing photovoltaic power generation devices.

(2) In the monitoring system of the concentrating photovoltaic power generation device of the above (1), the monitoring device is, for example, one unit of the amount of power generated per unit time for the plurality of concentrating photovoltaic power generation devices. For each calculation unit and the concentrating photovoltaic power generation device in operation, the value obtained by dividing the obtained power generation amount by the reference value is used as the power generation amount coefficient for each unit time in one day. It includes a conversion unit that converts the power generation coefficient into the standard deviation, and a determination unit that compares the standard deviation with the determination value to determine the presence or absence of tracking deviation.
By obtaining the standard deviation in this way, it is possible to accurately quantify and capture the state in which the tracking deviation occurs.

(3) In the monitoring system of the concentrating photovoltaic power generation device according to (1) or (2), if the standard deviation is larger than the determination value, it is determined as a tracking deviation, and the standard deviation is smaller than the determination value. In that case, it may be determined that there is a possibility of output decrease.
In this case, the tracking deviation and the output decrease can be discriminated from each other and detected.

(4) In the monitoring system of the concentrating photovoltaic power generation device according to any one of (1) to (3) above, it is preferable to output the event name as the determination result as tracking deviation or output reduction.
In this case, the observer can directly call the attention of the observer and quickly eliminate the cause, instead of reading from the numerical value or the graph.

(5) Further, in the tracking deviation detection method of the present disclosure, the amount of power generated per unit time is obtained for each of a plurality of concentrating photovoltaic power generation devices constituting the power generation facility, and the obtained power generation is obtained. The value obtained by dividing the electric energy by the reference value is used as the power generation coefficient for each unit time, and the daily power generation coefficient is converted into the standard deviation for all the concentrating photovoltaic power generation devices in operation. The presence or absence of tracking deviation is determined by comparing the standard deviation with the determination value of tracking deviation.

According to such a tracking deviation determination method, the presence or absence of tracking deviation can be determined from the standard deviation based on the amount of generated power. Therefore, it is possible to easily detect a concentrating photovoltaic power generation device having a small tracking deviation from among a plurality of condensing photovoltaic power generation devices.

(6) Further, the tracking deviation detection program of the present disclosure is a function of obtaining the amount of power generated per unit time for each of a plurality of concentrating photovoltaic power generation devices constituting the power generation facility. A function that uses the value obtained by dividing the amount of power generated by a reference value as the power generation coefficient for each unit time, and the power generation coefficient per day is used as the standard deviation for all the concentrating photovoltaic power generation devices in operation. It is a detection program for realizing a function of converting and a function of comparing the standard deviation with a determination value of tracking deviation and determining the presence or absence of tracking deviation by a computer. In addition, instead of the detection program, it can be expressed as a medium on which the detection program is recorded.

According to such a tracking deviation detection program, the presence or absence of tracking deviation can be determined from the standard deviation based on the amount of generated power. Therefore, it is possible to easily detect a concentrating photovoltaic power generation device having a small tracking deviation from among a plurality of condensing photovoltaic power generation devices.

[Details of Embodiments of the present disclosure]
Hereinafter, specific examples of the present disclosure will be described with reference to the drawings. In addition, at least a part of the embodiments described below may be arbitrarily combined.

《Concentrating solar power generation device》
1 and 2 are perspective views of an example of a concentrating photovoltaic power generation device for one unit as viewed from the light receiving surface side. FIG. 1 shows a concentrating photovoltaic power generation device 100 in a completed state, and FIG. 2 shows a condensing photovoltaic power generation device 100 in a state in the middle of assembly. FIG. 2 shows a state in which the skeleton of the tracking mount 25 can be seen in the right half, and a state in which a concentrating photovoltaic power generation module (hereinafter, also simply referred to as a module) 1M is attached in the left half. When actually attaching the module 1M to the tracking pedestal 25, the tracking pedestal 25 is attached while lying on the ground.

In FIG. 1, the concentrating photovoltaic power generation device 100 includes an array (entire photovoltaic power generation panel) 1 having a shape continuous on the upper side and divided into left and right on the lower side, and a support device 2 thereof. .. The array 1 is configured by arranging the modules 1M on the tracking mount 25 (FIG. 2) on the back side. In the example of FIG. 1, the array 1 is an aggregate of 200 modules 1M in total, consisting of (96 (= 12 × 8) × 2) pieces constituting the left and right wings and 8 pieces in the central crossover portion. It is configured.

The support device 2 includes a support column 21, a foundation 22, a two-axis drive unit 23, and a horizontal axis 24 (FIG. 2) as a drive axis. The lower end of the support column 21 is fixed to the foundation 22, and the upper end is provided with a two-axis drive unit 23.

In FIG. 1, the foundation 22 is firmly buried in the ground so that only the upper surface can be seen. With the foundation 22 buried in the ground, the columns 21 are vertical and the horizontal axis 24 (FIG. 2) is horizontal. The two-axis drive unit 23 can rotate the horizontal axis 24 in two directions, an azimuth angle (an angle centered on the support column 21) and an elevation angle (an angle centered on the horizontal axis 24). In FIG. 2, a reinforcing member 25a for reinforcing the tracking mount 25 is attached to the horizontal shaft 24. Further, a plurality of horizontal rails 25b are attached to the reinforcing member 25a. Therefore, if the horizontal axis 24 rotates in the direction of the azimuth angle or the elevation angle, the array 1 also rotates in that direction.

Although FIGS. 1 and 2 show the support device 2 that supports the array 1 with one support column 21, the configuration of the support device 2 is not limited to this. In short, any support device can be used as long as it can support the array 1 so as to be movable in two axes (azimuth and elevation).

Array 1 is usually vertical as shown in FIG. 1 before dawn and sunset.
During the daytime, the two-axis drive unit 23 operates so that the light receiving surface of the array 1 always faces the sun, and the array 1 performs the tracking operation of the sun.
FIG. 3 is a perspective view showing the posture of the array 1 facing the sun as an example. Further, for example, at the time of mid-south near the equator, the array 1 is in a horizontal posture with the light receiving surface facing the sun. At night, for example, the light receiving surface of the array 1 is oriented horizontally toward the ground.

"Power generation equipment"
FIG. 4 is a plan view of a concentrating photovoltaic power generation device 100 installed in line with the outdoor area 200 as a power generation facility (power plant) 300 for business use. A total of 5 columns of (A), (B), (C), (D), (E) in the X direction in the figure, (1), (2), (3), (4), in the Y direction. A total of 7 rows of (5), (6), and (7) are arranged in a matrix. For example, Speaking of E1, it is the condensing type photovoltaic power generation device 100 on the upper right. Speaking of A7, it is the condensing type photovoltaic power generation device 100 at the lower left. In this example, the concentrating photovoltaic power generation device 100 is not installed in C4 and A1. Therefore, it is a power generation facility 300 composed of a total of 33 concentrating photovoltaic power generation devices 100. Assuming that the Y direction is the north direction, what is shown in the figure is 33 concentrating photovoltaic power generation devices 100 at the time of south-central time.

<< Monitoring system for concentrating photovoltaic power generation equipment >>
FIG. 5 is a diagram showing an example of connection of a concentrating photovoltaic power generation device to a commercial power system and connection to a monitoring system. For convenience of illustration, only three concentrating photovoltaic power generation devices 100 are shown. An inverter device 101 that converts electric power from direct current to alternating current is connected to each of the condensing type photovoltaic power generation devices 100. The AC output of each inverter device 101 is connected to the substation equipment 102. The substation equipment 102 is connected to the commercial power system 104 via the watt hour meter 103.

Information on the amount of power output by the watt-hour meter 103 is sent to the signal input / output terminal device 105. The voltage and current information output by each inverter device 101 is sent to the signal input / output terminal device 105. The sensor 106 sends various meteorological data such as temperature, rainfall, wind speed, and wind direction to the signal input / output terminal device 105. The signal input / output terminal device 105 A / D-converts an information signal transmitted in an analog amount into a digital signal and sends it to the computer 107. A display 108 and a printer 109 are connected to the computer 107. The computer 107, the display 108, and the printer 109 constitute a monitoring device 110. The computer 107 realizes a necessary control function by executing software (computer program). The software is stored in the storage unit 107m of the computer 107. The storage unit 107m is a non-transient recording medium that can be read by a computer, and is an auxiliary storage device such as a ROM (Read Only Memory), a RAM (Random Access Memory), or an HDD (Hard Disk Drive).

The computer 107 obtains electric power based on the voltage and current data sequentially sent from all the inverter devices 101, and the amount of electric power generated per unit time of all the concentrating photovoltaic power generation devices 100 in operation. Remember. Further, the monitoring device 110 includes a calculation unit 107c, a conversion unit 107t, and a determination unit 107j as internal functions by software. The calculation unit 107c obtains the amount of power generated per unit time for each of the plurality of concentrating photovoltaic power generation devices 100, and divides the obtained amount of generated power by the reference value for each unit time. The power generation coefficient of. The conversion unit 107t converts the power generation coefficient of all the concentrating photovoltaic power generation devices 100 in operation into the standard deviation. Then, the determination unit 107j compares the standard deviation with the determination value to determine the presence or absence of the tracking deviation. The determined information is displayed on the display 108, and is printed as daily data (daily report) by the printer 109 at the scheduled time (for example, midnight) every day.

<< Tracking deviation detection method, tracking deviation detection program >>
Next, the processing contents executed by the above-mentioned computer 107 will be described. FIG. 6 is a flowchart showing the processing contents executed by the computer 107 of the monitoring device 110. The computer 107 starts processing every day at the scheduled time. First, among all the units, those that are known to have no problems such as failure, dirt that affects the amount of power generation, and tracking deviation are set as the reference condensing type photovoltaic power generation device (step S1). ..

Next, the computer 107 totals the amount of power generated per hour for all the concentrating photovoltaic power generation devices in operation (step S2), and obtains the amount of power generated per day for each unit. Further, the computer 107 obtains an hourly power generation coefficient for all the concentrating photovoltaic power generation devices (step S3). Here, the power generation coefficient is k, the power generation amount of the target concentrating photovoltaic power generation device in the same time zone is W [kWh], and the power generation amount of the reference concentrating photovoltaic power generation device is Wr. If you say [kWh],
k = W / Wr ・ ・ ・ (1)
Is. The power generation coefficient for the reference concentrating photovoltaic power generation device is k = 1.

For example, it is assumed that the power generation start time at sunrise is around 5 o'clock and the time when the generated power becomes 0 at sunset is around 19:00. In this case, the computer 107, as perform operations every 6 o'clock 0 minutes 20 hours, 0 minutes, for example up to 1 hour, to represent the power generation amount coefficient 6:00 with a subscript so that k _6, the power generation amount coefficient daily Is
k ₆ , k ₇ , k ₈ , ..., k ₁₈ , k ₁₉ , k ₂₀
Will be. That is, the total number of power generation coefficients in this case is 15. The computer 107 obtains the standard deviation σ by the following equation (2) using 15 power generation coefficients (step S3). Note that every hour is an easy-to-understand example for explanation, and the calculation may be performed every shorter time.

... (2)

Next, the computer 107 acquires the set determination value (threshold value) σ _th for determining the tracking deviation (step S5), and compares the standard deviation σ with the determination value σ _th (step S6). If the standard deviation σ is equal to or greater than the determination value σ _th , the computer 107 determines that it is a tracking deviation and stores it (step S7).

If the standard deviation σ is smaller than the determination value σ _th , the computer 107 then obtains the power generation index from the daily power generation (step S8). Assuming that the amount of power generated by the target photovoltaic power generation device is ΣW, the amount of power generated by the reference photovoltaic power generation device is ΣWr, and the power generation index is i.
i = ΣW / ΣWr ・ ・ ・ (3)
Is.

Next, the computer 107, for determining the output lowering, to get the set determination value _{(threshold) i th} (Step S9), and compares power generation amount index i and the determination value _{i th} (step S10). If power generation index i is determined value _{i th} or more, the computer 107 determines that the output reduction, and stores (step S11). If power generation index i is smaller than the determination value i _th, the computer 107 determines whether, or not determined for all the concentrating solar power generation device (step S12).

After that, the computer 107 repeats the processes from steps S4 to S12 in order to make a determination for all the concentrating photovoltaic power generation devices that have been in operation. Then, when the determination for all the condensing type photovoltaic power generation devices is completed, the computer 107 displays the result on the display 108 and prints it by the printer 109 (step S13). This completes the process.

<< Example of changes in generated power >>
FIG. 7 is a graph showing changes in the amount of power generated per day by dividing all the concentrating photovoltaic power generation devices into five groups. Such a graph can be easily obtained by a simple calculation based on the generated power input to the computer 107. For example, each graph is a graph obtained by calculating the amount of electric power per minute, for example, in terms of one hour. In each graph, the data for 6 to 7 units are superimposed and displayed. Actually, the data of each group is displayed in different colors, making it easy to see even if they overlap.

According to the graph of (a), it can be seen that there are times when the amount of power generated by a specific concentrating photovoltaic power generation device is lower than that of other concentrating photovoltaic power generation devices. The cause is likely to be tracking deviation. According to the graph of (b), it can be seen that the amount of power generated by the specific concentrating photovoltaic power generation device is 0 mainly in the morning at a certain time zone. This is because power could not be generated due to maintenance (cleaning). According to the graph of (c), it can be seen that the amount of power generated by the specific concentrating photovoltaic power generation device becomes 0 in a certain time zone in the afternoon. This is because power could not be generated due to maintenance (manipulation by humans). According to the graph of (d), it can be seen that all the target units generate electricity satisfactorily without any particular problem. According to the graph of (e), it can be seen that the amount of power generated by a specific concentrating photovoltaic power generation device is constantly lower than that of other concentrating photovoltaic power generation devices throughout the day.

The results shown in the graphs of (b) and (c) are known in advance and are due to maintenance. Then, by processing the flowchart of FIG. 6, the state of (a) and the state of (e) can be automatically distinguished.

<< Example of daily report >>
FIG. 8 is an example of a daily report printed out on time every day. Numerical data is displayed in column (a) (details are omitted). The column (b) shows the amount of power generated in the bar graph of the total number of all units of the concentrating photovoltaic power generation device, and the changes in the continuous curve of direct solar radiation and total solar radiation. If all the units of the concentrating photovoltaic power generation device are normal, the characteristics of the shape of the change locus of solar radiation and the envelope of the amount of generated power generally correspond to each other. Column (c) is a graph of meteorological data such as temperature and wind speed.

Then, the column (d) is the guidance of the defect displayed based on the processing of the above-mentioned flowchart. The part surrounded by the frame on the left side represents the target concentrating photovoltaic power generation device. For example, "A6" is a concentrating photovoltaic power generation device located in the sixth row of column A in FIG. The part surrounded by the right frame is the probable cause guidance. "Tracking Error" is a tracking deviation, and "Output Degradation" is a decrease in output. By expressing the concentrating photovoltaic power generation device in which the defect has occurred and the event of the defect in text information, the observer can easily recognize even a small tracking deviation. In addition to the tracking deviation, a decrease in output can be easily detected. Therefore, the tracking deviation and the output decrease can be discriminated and easily detected.

The column (e) shows the concentrating photovoltaic power generation equipment that is the subject of maintenance. In this example, it is shown that the concentrating photovoltaic device at the "B2" position is being cleaned and the concentrating photovoltaic device at the "C2" position is being repaired.

<< Summary of Disclosure >>
As described in detail above, in the monitoring system of the concentrating photovoltaic power generation device of the present disclosure, the monitoring device 110 has a standard deviation of the amount of generated power acquired for all the concentrating photovoltaic power generation devices 100 in operation. And the standard deviation is compared with the determination value of the tracking deviation to determine the presence or absence of the tracking deviation. As a result, the presence or absence of tracking deviation can be determined from the standard deviation based on the amount of generated power. Therefore, it is possible to easily detect a concentrating photovoltaic power generation device having a small tracking deviation from a plurality of condensing photovoltaic power generation devices.

More specifically, the monitoring device 110 includes a calculation unit 107c, a conversion unit 107t, and a determination unit 107j as functional units realized by the computer 107. The calculation unit 107c obtains the amount of power generated per unit time for each of a plurality of concentrating photovoltaic power generation devices, and divides the obtained amount of power generated by the reference value for each unit time. Let it be the power generation coefficient. The conversion unit 107t converts the daily power generation coefficient into the standard deviation for all the concentrating photovoltaic power generation devices in operation. The determination unit 107j compares the standard deviation with the determination value to determine whether or not there is a tracking deviation. By obtaining the standard deviation in this way, it is possible to accurately quantify and grasp the state in which the tracking deviation occurs.

Further, when the standard deviation is larger than the determination value, it can be determined that there is a tracking deviation, and when the standard deviation is smaller than the determination value, it can be determined that the output may decrease. Therefore, the tracking deviation and the output decrease can be discriminated from each other and detected.
Furthermore, by outputting the event name as a tracking deviation or output decrease in the judgment result, the observer does not read it from the numerical value or graph, but directly calls the observer's attention and quickly eliminates the cause. It can be realized.

Expressed as a method for detecting tracking deviation, (i) the amount of power generated for each unit time of a plurality of concentrating photovoltaic power generation devices 100 constituting the power generation facility 300 is obtained for each unit, and (ii). The value obtained by dividing the obtained power generation amount by the reference value is used as the power generation amount coefficient for each unit time, and (iii) for all the concentrating photovoltaic power generation devices 100 in operation, the daily power generation amount coefficient is the standard deviation. (Iv) The standard deviation is compared with the determination value of the tracking deviation to determine the presence or absence of the tracking deviation.

Expressed as a tracking deviation detection program, (a) a function of obtaining the amount of power generated per unit time for each of a plurality of concentrating photovoltaic power generation devices 100 constituting the power generation facility 300, (b). ) A function that uses the obtained power generation amount divided by the reference value as the power generation amount coefficient for each unit time. (C) The daily power generation amount coefficient for all the concentrating photovoltaic power generation devices 100 in operation. Is a tracking deviation detection program for realizing by a computer a function of converting the standard deviation into a standard deviation and (d) a function of comparing the standard deviation with a determination value of the tracking deviation to determine the presence or absence of the tracking deviation. The detection program may also exist as a recording medium on which the detection program is recorded. As the recording medium, a semiconductor memory, an optical disk, a magnetic disk, a magneto-optical disk, or the like can be used.

《Others》
The monitoring device 110 may be installed locally in the vicinity of the power generation facility 300, or may be installed as a server in a remote location via the Internet, for example.
Further, the main function of the detection program can be made into a chip to form an LSI (Large Scale Integrated Circuit).

<< Supplement >>
It should be noted that the embodiments disclosed this time are examples in all respects and are not restrictive. The scope of the present invention is indicated by the claims and is intended to include all modifications within the meaning and scope equivalent to the claims.

1 array 1M concentrating photovoltaic power generation module (module)
2 Support device 21 Strut 22 Foundation 23 2-axis drive unit 24 Horizontal axis 25 Tracking stand 25a Reinforcing material 25b Rail 100 Concentrating solar power generation device 101 Inverter device 102 Substation equipment 103 Electricity meter 104 Commercial power system 105 Signal input / output terminal Equipment 106 Sensor 107 Computer 107c Calculation unit 107j Judgment unit 107t Conversion unit 107m Storage unit 108 Display 109 Printer 110 Monitoring device 200 Area 300 Power generation equipment

Claims (6)

1. Multiple concentrating photovoltaic power generation devices that make up the power generation facility,
   A monitoring device for acquiring information on the amount of power generated from each of the concentrating photovoltaic power generation devices is provided.
   The monitoring device converts the generated power amount acquired for all the concentrating photovoltaic power generation devices in operation into a standard deviation, compares the standard deviation with the determination value of the tracking deviation, and determines the presence or absence of the tracking deviation. A monitoring system for concentrating photovoltaic power generation equipment to judge.
2. The monitoring device
   For each of the plurality of concentrating photovoltaic power generation devices, the amount of power generated per unit time is obtained for each unit, and the value obtained by dividing the obtained amount of generated power by the reference value is the power generation coefficient for each unit time. And the arithmetic unit
   For all the concentrating photovoltaic power generation devices in operation, a conversion unit that converts the daily power generation coefficient into the standard deviation, and
   A determination unit that compares the standard deviation with the determination value to determine the presence or absence of tracking deviation,
   The monitoring system for a concentrating photovoltaic power generation device according to claim 1.
3. The light collection according to claim 1 or 2, wherein when the standard deviation is larger than the determination value, it is determined to be a tracking deviation, and when the standard deviation is smaller than the determination value, it is determined that there is a possibility of output decrease. Monitoring system for photovoltaic power generation equipment.
4. The monitoring system for a concentrating photovoltaic power generation device according to any one of claims 1 to 3, which outputs the event name as a tracking deviation or a decrease in output of the determination result.
5. For each of the multiple concentrating photovoltaic power generation devices that make up the power generation facility, the amount of power generated per unit time is calculated for each unit.
   The value obtained by dividing the obtained power generation amount by the reference value is used as the power generation amount coefficient for each unit time.
   For all the concentrating photovoltaic power generation devices in operation, the daily power generation coefficient is converted into the standard deviation.
   The presence or absence of tracking deviation is determined by comparing the standard deviation with the determination value of tracking deviation.
   How to detect tracking deviation.
6. A function to obtain the amount of power generated per unit time for each of the multiple concentrating photovoltaic power generation devices that make up the power generation facility.
   A function that uses the value obtained by dividing the obtained power generation amount by the reference value as the power generation amount coefficient for each unit time.
   A function to convert the daily power generation coefficient into a standard deviation for all the concentrating photovoltaic power generation devices in operation, and
   A function for determining the presence or absence of tracking deviation by comparing the standard deviation with the determination value of tracking deviation.
   A tracking deviation detection program to be realized by a computer.

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