JP2015069973A - Solar cell system and inspection method for the same - Google Patents

Abstract

PROBLEM TO BE SOLVED: To obtain a solar cell system and its inspection method capable of mitigating labour and a cost in identifying a solar cell panel in which abnormality has occurred from a plurality of solar cells configuring a solar cell array.SOLUTION: A solar cell system includes: a solar cell array comprising a plurality of solar cell panels 1; expectation power generation amount calculation means; power generation amount measurement means; and abnormality analysis means for performing analysis for identifying a solar cell panel 1 in which abnormality has occurred of the plurality of solar cell panels 1. The abnormality analysis means takes a solar cell panel 1 to which a change factor for changing a power generation amount is added as a candidate for the solar cell panel 1 in which abnormality has occurred when difference between an expectation value and measured value of the power generation amount changes, in the case that the change factor is added to part of solar cell panel 1 of the plurality of solar cell panels 1 and the solar cell panel 1 to which the change factor is added sequentially migrates among the plurality of solar cell panels 1.

Description

  The present invention relates to a solar cell system and an inspection method thereof.

  In order to identify a solar cell panel in which an abnormality has occurred (hereinafter, referred to as “abnormal solar cell panel” as appropriate) when an abnormality has occurred in any of the plurality of solar cell panels constituting the solar cell array, The amount of power generation of the solar cell panel may be measured. Moreover, in order to identify an abnormal solar cell panel, the electrical characteristic for every solar cell panel may be investigated. To identify an abnormal solar cell panel from a large number of solar cell panels, a great deal of labor and cost are required (see, for example, Patent Document 1 (summary, FIG. 1)).

JP 2013-36747 A

  The present invention has been made in view of the above, and a solar cell capable of reducing labor and cost when identifying a solar cell panel in which an abnormality has occurred from a plurality of solar cell panels constituting the solar cell array. The object is to obtain a system and its inspection method.

  In order to solve the above-described problems and achieve the object, the present invention provides a solar cell array including a plurality of solar cell panels, and an expected power generation amount calculation unit that calculates an expected value of the power generation amount by the plurality of solar cell panels. And a power generation amount measuring means for measuring an actual measurement value of the power generation amount by the plurality of solar cell panels, and an abnormality analysis for performing an analysis for identifying a solar cell panel in which an abnormality has occurred among the plurality of solar cell panels And a variation factor for varying the power generation amount is added to a part of the plurality of solar cell panels, and the plurality of solar cell panels to which the variation factor is added are included in the plurality of solar cell panels. In the case where the solar cell panels are sequentially changed, the abnormality analysis unit is configured to add the fluctuation factor when the difference between the expected value and the measured value is changed. The cell panel, characterized by a candidate for solar panels the abnormality has occurred.

  According to the present invention, the abnormality analysis means changes the difference between the expected value and the actual measurement value when the solar cell panel to which the variation factor is added changes, so that any one of the solar cell panels has abnormal solar power. Judged to be a battery panel. The solar cell system can identify an abnormal solar cell panel by narrowing down abnormal solar cell panel candidates in the abnormal analysis means. When narrowing down the candidates for abnormal solar cell panels, it is not necessary to perform power generation measurement or electrical property investigation on each solar cell panel, so the work required to identify abnormal solar cell panels is greatly simplified. Thereby, there exists an effect that the labor and cost at the time of specifying the solar cell panel which abnormality generate | occur | produced from the several solar cell panel which comprises a solar cell array can be reduced.

FIG. 1-1 is a schematic diagram illustrating a schematic configuration of the solar cell system according to the first embodiment of the present invention. FIG. 1-2 is a block diagram showing a configuration used mainly in a test of a solar cell system in a PC. FIG. 2 is a diagram for explaining a method for inspecting a solar cell system. FIG. 3 is a diagram for explaining a method for inspecting a solar cell system. FIG. 4 is a diagram showing the display on the monitor. FIG. 5 is a diagram illustrating a method for inspecting a solar cell array. FIG. 6 is a diagram illustrating a method for inspecting a solar cell array. FIG. 7 is a diagram showing the display on the monitor. FIGS. 8-1 is a figure explaining the inspection method of a solar cell array. FIGS. FIGS. 8-2 is a figure explaining the inspection method of a solar cell array. FIGS. 9-1 is a figure explaining the inspection method of a solar cell array. FIGS. FIG. 9-2 is a diagram for explaining a solar cell array inspection method. FIG. 10A is a diagram illustrating a method for inspecting a solar cell array. FIG. 10-2 is a diagram for explaining a solar cell array inspection method. FIG. 11 is a diagram illustrating a method for inspecting a solar cell array. FIG. 12A is a diagram illustrating a monitor display. FIG. 12B is a diagram illustrating a monitor display. FIG. 12C is a diagram illustrating a monitor display. FIG. 12D is a diagram illustrating a monitor display. FIG. 13 is a flowchart for explaining the inspection procedure of the solar cell array. FIG. 14 is a diagram for explaining the inspection method for the solar cell system according to the second embodiment of the present invention. 15-1 is a figure explaining the test | inspection method of the solar cell system concerning Embodiment 3 of this invention. FIG. 15-2 is a diagram for explaining an inspection method for the solar cell system according to the third embodiment of the present invention. FIG. 16A is a diagram for explaining an inspection method for the solar cell system according to the fourth embodiment of the present invention. FIG. 16-2 is a diagram for explaining an inspection method for the solar cell system according to the fourth embodiment of the present invention. FIG. 17 is a diagram for explaining an inspection method for a solar cell system according to Embodiment 5 of the present invention.

  Hereinafter, embodiments of a solar cell system and an inspection method thereof according to the present invention will be described in detail with reference to the drawings. Note that the present invention is not limited to the embodiments.

Embodiment 1 FIG.
FIG. 1-1 is a schematic diagram illustrating a schematic configuration of the solar cell system according to the first embodiment of the present invention. The solar cell system includes a solar cell array, a monitor 7, a personal computer (PC) 9, a still camera 10, a video camera 11, a pyranometer 12 and a thermometer 13.

  The solar cell array includes a plurality of solar cell panels 1 arranged in an array. The solar cell array is composed of, for example, 16 solar cell panels 1 that form an array of 4 rows and 4 columns. In addition, the number of solar cell panels 1 constituting the solar cell array and the manner of arrangement are not limited to those described in the present embodiment, and may be changed as appropriate.

  For convenience of explanation, alphabets “A” to “P” are attached to each solar cell panel 1. The top line in the figure is “A” to “D” from left to right, and “E” to “H”, “I” to “L”, and “M” to “P” are similarly applied to the subsequent lines. And

  The string 2 is a plurality of solar cell panels 1 connected in series in the column direction. In the present embodiment, the solar cell array includes a string 2 including four solar cell panels 1 of “A”, “E”, “I”, and “M”, “B”, “F”, “J”, A string 2 including four solar cell panels 1 of “N”, a string 2 including four solar cell panels 1 of “C”, “G”, “K”, and “O”, “D”, “H”, A string 2 including four solar cell panels 1 of “L” and “P” is provided.

  The still camera 10 captures the state of clouds above the solar cell array as a still image. The steel camera 10 is arrange | positioned in the vicinity of the solar cell array, for example. The video camera 11 captures the state of the solar cell array as a moving image. The video camera 11 is arrange | positioned in the position which can look over the whole solar cell array, for example. The video camera 11 is arrange | positioned at two or more places. Each of the still camera 10 and the video camera 11 transmits image data obtained by photographing to the PC 9.

  The pyranometer 12 measures the amount of solar radiation. The thermometer 13 measures the environmental temperature. The pyranometer 12 and the thermometer 13 are arrange | positioned in the vicinity of the solar cell array, for example. The pyranometer 12 and the thermometer 13 transmit measurement result data to the PC 9.

  The PC 9 controls the overall solar cell system. The PC 9 receives information such as the amount of power generation from the solar cell array. The PC 9 receives image data from the still camera 10 and the video camera 11 and measurement result data from the pyranometer 12 and the thermometer 13. The monitor 7 displays various data received by the PC 9 and processing data that has undergone processing in the PC 9.

  FIG. 1-2 is a block diagram showing a configuration used mainly in a test of a solar cell system in a PC. The PC 9 includes an expected power generation amount calculation unit 14, a power generation amount measurement unit 15, and an abnormality analysis unit 16.

  The expected power generation amount calculation means 14 calculates an expected value of power generation amount by the plurality of solar cell panels 1 (referred to as “expected power generation amount” as appropriate). The power generation amount measuring means 15 calculates an actual measurement value (referred to as “actual power generation amount” as appropriate) of the power generation amount by the solar cell system. The abnormality analysis means 16 performs an analysis for specifying an abnormal solar cell panel from the plurality of solar cell panels 1.

  The solar radiation spectrum depends on information such as the altitude and direction of the sun, the state of the clouds, and sky shielding information. Here, the solar radiation spectrum includes the spectrum of sunlight that has passed through the clouds. The sky shielding information is the ratio of the solid angle representing the range where the sky can be seen without being obstructed by surrounding buildings or the horizon among the hemispherical surface that is visible when facing the light receiving surface of the solar cell array. .

  The expected power generation amount calculation means 14 stores in advance data of measured values of the solar radiation spectrum in the environment where the solar cell array is installed. The expected power generation amount calculation means 14 estimates the current solar radiation spectrum from the accumulated solar radiation spectrum data.

  Further, the expected power generation amount calculation means 14 holds data on the longitude and latitude of the position where the solar cell panel is installed, the inclination angle of the installation surface, and the altitude and direction of the sun at the position. The expected power generation amount calculation means 14 uses these data concerning the installation position, the estimated solar radiation spectrum, and the calculation model of the power generation amount in units of cells to output the output from the minimum unit constituting the solar cell array. Ask. The expected power generation amount calculation means 14 calculates the expected power generation amount of the solar cell array based on the minimum unit output. Note that the expected power generation amount calculation means 14 may use, for example, an actually measured value of a solar radiation spectrum measured by a solar radiation spectrum meter in addition to using the estimated solar radiation spectrum.

  2 and 3 are diagrams for explaining a method for inspecting a solar cell system. In the example described here, it is assumed that one of the plurality of solar cell panels 1 is the abnormal solar cell panel 4. As shown in FIG. 2A, the solar cell panel 1 of “K” is an abnormal solar cell panel 4.

  The expected power generation amount calculation means 14 measures the latitude and longitude of each solar cell panel 1 actually installed, the inclination angle of the installation surface, the altitude and direction of the sun, the state of the clouds, the solarimeter 12 and the thermometer 13. Use the resulting data to calculate the expected power generation. The data relating to the state of the cloud includes, for example, data indicating a range of the plurality of solar battery panels 1 that is in the shadow of the cloud and data on the transmittance of sunlight at the position in the shadow of the cloud. . The expected power generation amount calculation means 14 obtains data representing the state of the cloud 3 shown in FIGS. 2B to 2E by analyzing the image data from the still camera 10 and the video camera 11. In FIG. 2A, it is assumed that none of the solar battery panels 1 is in the shadow of the cloud 3.

  The abnormality analysis unit 16 compares the expected power generation amount calculated by the expected power generation amount calculation unit 14 with the actual power generation amount that is the measurement result of the power generation amount measurement unit 15. When the actual power generation amount is smaller than the expected power generation amount, the abnormality analysis means 16 grasps that the abnormal solar cell panel 4 exists in the plurality of solar cell panels 1.

  In the present embodiment, it is assumed that the output of the string 2 including the abnormal solar cell panel 4 is 0.7α, where α is the output of the string 2 including the normal solar cell panel 1. For example, in the state shown in FIG. 2A, the expected power generation amount by 16 solar cell panels 1 is 4α. Since the abnormal solar cell panel 4 is included in one string 2, the actual power generation amount is 3.7α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.3α.

  Assume that the cloud 3 has moved from the state shown in FIG. 2A on the solar cell array as shown in FIGS. 2B to 2E. At this time, it is assumed that the transmittance of sunlight is halved in the shadow of the cloud 3 compared to the shadow of the cloud 3. When a part or the whole of the string 2 including the normal solar battery panel 1 is in the shadow of the cloud 3, the output of the string 2 is 0.5α. When a part or the whole of the string 2 including the abnormal solar battery panel 4 is in the shadow of the cloud 3, the output of the string 2 is 0.35α.

  In the state shown in FIG. 2B, the expected power generation amount is 3.5α and the actual power generation amount is 3.2α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.3α. When moving from the state of FIG. 2A to the state of FIG. 2B, the difference remains 0.3α.

  In the state shown in FIG. 2C, the expected power generation amount is 3α and the actual power generation amount is 2.85α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.15α. When shifting from the state of FIG. 2B to the state of FIG. 2C, the difference changes from 0.3α to 0.15α.

  In the state shown in FIG. 2D, the expected power generation amount is 2.5α and the actual power generation amount is 2.35α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.15α. When shifting from the state of FIG. 2C to the state of FIG. 2D, the difference remains 0.15α and does not change.

  In the state shown in FIG. 2E, the expected power generation amount is 2α and the actual power generation amount is 1.85α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.15α. When shifting from the state of FIG. 2D to the state of FIG. 2E, the difference remains 0.15α.

  The difference between the expected power generation amount and the actual power generation amount even when only the normal solar cell panel 1 enters the shadow of the cloud 3 from the state where none of the plurality of solar cell panels 1 is in the shadow of the cloud 3 Does not change. On the other hand, when the abnormal solar panel 4 enters the shadow of the cloud 3, the difference between the expected power generation amount and the actual power generation amount changes compared to when the plurality of solar cell panels 1 do not enter the shadow of the cloud 3. Will be.

  The abnormality analysis means 16 is configured to change the difference between the expected power generation amount and the actual power generation amount when none of the plurality of solar battery panels 1 are in the shadow of the cloud 3. The solar cell panel 1 that has entered and exited the shadow is detected. The abnormality analysis means 16 detects the solar cell panel 1 that has entered and exited the shadow of the cloud 3 based on image data from the still camera 10 and the video camera 11. The abnormality analysis means 16 makes the solar cell panel 1 that has entered and exited the shadow of the cloud 3 when there is a change in the difference between the expected power generation amount and the actual power generation amount as a candidate for the abnormal solar cell panel 4.

  As shown in FIG. 2 (a) to FIG. 2 (e), during the period in which the cloud 3 moves, the abnormality analysis means 16 moves from the state shown in FIG. 2 (b) to the state shown in FIG. 2 (c). When 3 moves, it detects that the difference between the expected power generation amount and the actual power generation amount has changed.

  The abnormality analysis means 16 entered the shadow of the cloud 3 from a state outside the shadow of the cloud 3 in response to the difference between the expected power generation amount and the actual power generation amount changed from 0.3α to 0.15α. The solar cell panel 1 in the state is determined as a candidate for the abnormal solar cell panel 4. The abnormality analysis means 16 performs “C”, “G”, “K”, and “O” in the shadow of the cloud 3 when the cloud 3 moves from the state shown in FIG. 2B to the state shown in FIG. The four solar cell panels 1 are regarded as candidates for the abnormal solar cell panel 4.

  When the abnormality detection means 16 determines that the four solar cell panels 1 of “C”, “G”, “K”, and “O” are candidates for the abnormal solar cell panel 4, “C”, “G”, “K”, and “O” are displayed. One flag is added to each of the four solar cell panels 1. The flag represents the number of times that the abnormality detection unit 16 determines that the abnormal solar battery panel 4 is a candidate.

  FIG. 4 is a diagram showing the display on the monitor. The monitor 7 displays a flag for each solar cell panel 1. FIG. 4A shows a display when flags are raised one by one for the four solar cell panels 1 of “C”, “G”, “K”, and “O”.

  Next, it is assumed that the cloud 3 has moved on the solar cell array as shown in FIGS. Also in this case, it is assumed that the transmittance of sunlight is halved in the shadow of the cloud 3 as compared with the outside of the shadow of the cloud 3. In the state shown in FIG. 3A, the expected power generation amount is 2.5α and the actual power generation amount is 2.35α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.15α.

  In the state shown in FIG. 3B, the expected power generation amount is 3α and the actual power generation amount is 2.7α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.3α. When shifting from the state of FIG. 3A to the state of FIG. 3B, the difference changes from 0.15α to 0.3α.

  In the state shown in FIG. 3C, the expected power generation amount is 3.5α and the actual power generation amount is 3.2α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.3α. When shifting from the state of FIG. 3B to the state of FIG. 3C, the difference remains 0.3α.

  In the state shown in FIG. 3D, the expected power generation amount is 4α and the actual power generation amount is 3.7α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.3α. When shifting from the state of FIG. 3C to the state of FIG. 3D, the difference remains 0.3α.

  As shown in FIG. 3 (a) to FIG. 3 (d), during the period in which the cloud 3 moves, the abnormality analysis means 16 moves from the state shown in FIG. 3 (a) to the state shown in FIG. 3 (b). When 3 moves, it detects that the difference between the expected power generation amount and the actual power generation amount has changed.

  The abnormality analysis means 16 comes out of the shadow of the cloud 3 from the state of the shadow of the cloud 3 in response to the difference between the expected power generation amount and the actual power generation amount changed from 0.15α to 0.3α. The solar cell panel 1 in the state is determined as a candidate for the abnormal solar cell panel 4. When the cloud 3 moves from the state shown in FIG. 3 (a) to the state shown in FIG. 3 (b), the abnormality analysis means 16 outputs “K”, “O”, and “B” 3 Two solar cell panels 1 are candidates for the abnormal solar cell panel 4.

  When the abnormality detection means 16 determines that the three solar cell panels 1 of “K”, “O”, and “B” are candidates for the abnormal solar cell panel 4, as shown in FIG. 4B, “K” “O”. One flag is added to each of the three solar battery panels 1 of “B”.

  Thus, in the situation where the cloud 3 moves so that some of the solar cell panels 1 move in and out of the shadow of the cloud 3, the abnormality analysis means 16 calculates the expected power generation amount and the actual power generation. The solar cell panel 1 that has entered and exited the shadow of the cloud 3 when there is a change in the difference from the amount is set as a candidate for the abnormal solar cell panel 4.

  5 and 6 are diagrams for explaining a solar cell array inspection method. Assume that a cloud 3 different from the cloud 3 shown in FIGS. 3A to 3D has moved on the solar cell array as shown in FIGS. 5A to 5E. Also in this case, it is assumed that the transmittance of sunlight is halved in the shadow of the cloud 3 as compared with the outside of the shadow of the cloud 3. In FIG. 5A, it is assumed that none of the solar battery panels 1 is in the shadow of the cloud 3. In the state shown in FIG. 5A, the expected power generation amount is 4α and the actual power generation amount is 3.7α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.3α.

  In the state shown in FIG. 5B, the expected power generation amount is 3.5α and the actual power generation amount is 3.2α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.3α. When shifting from the state of FIG. 5A to the state of FIG. 5B, the difference remains 0.3α.

  In the state shown in FIG. 5C, the expected power generation amount is 3α and the actual power generation amount is 3α. The difference between the expected power generation amount and the actual power generation amount at this time is zero. In the state of FIG. 5C, the expected power generation amount and the actual power generation amount coincide.

  In the state shown in FIG. 5D, the expected power generation amount is 2.5α and the actual power generation amount is 2.35α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.15α. When shifting from the state of FIG. 5C to the state of FIG. 5D, the difference changes from 0 to 0.15α.

  In the state shown in FIG. 5E, the expected power generation amount is 2α and the actual power generation amount is 1.85α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.15α. When shifting from the state of FIG. 5D to the state of FIG. 5E, the difference remains unchanged at 0.15α.

  As shown in FIGS. 5A to 5E, when the cloud 3 moves, when the state shown in FIG. 5B is changed to the state shown in FIG. 16 detects a match between the expected power generation amount and the actual power generation amount.

  The abnormality analysis means 16 determines that the solar cell panel 1 that is in the shadow of the cloud 3 is not the abnormal solar cell panel 4 in response to detecting the coincidence between the expected power generation amount and the actual power generation amount. When the cloud 3 moves from the state shown in FIG. 5 (b) to the state shown in FIG. 5 (c), the abnormality analysis means 16 includes “C” “D” “H” “ The four solar cell panels 1 of “L” are excluded from the abnormal solar cell panel 4 candidates.

  FIG. 7 is a diagram showing the display on the monitor. When the abnormality detection unit 16 determines to exclude the four solar cell panels 1 of “C”, “D”, “H”, and “L” from the candidates for the abnormal solar cell panel 4, the abnormality detection unit 16 stands in FIG. Further, the flag “C” of the solar cell panel 1 is deleted as shown in FIG. In addition, about the solar panel 1 of "D" "H" "L", since there is no flag in the stage of FIG.4 (b), the state without a flag is maintained.

  In the state shown in FIG. 5C where the expected power generation amount and the actual power generation amount match, a part of the string 2 of “C”, “G”, “K”, and “O” and “D”, “H”, and “L” A part of the string 2 of “P” is in the shadow of the cloud 3. In these two strings 2, the power generation amount is reduced in the solar cell panel 1 in the shadow of the cloud 3. In this case, even if the abnormal solar cell panel 4 is included in the solar cell panel 1 that is not in the shadow of the cloud 3 of the two strings 2, the effect of the reduced power generation amount in the abnormal solar cell panel 4 is confirmed. Will not be.

  Thereafter, the cloud 3 moves from the state shown in FIG. 5C to the state shown in FIG. 5D, and the abnormal solar cell panel 4 enters the shadow of the cloud 3, so that the actual power generation amount with respect to the expected power generation amount. Will be reduced. The abnormality analysis unit 16 determines whether the difference between the expected power generation amount and the actual power generation amount changes from 0 to 0.15α when the state shown in FIG. The solar cell panel 1 that is not in the shadow of the cloud 3 in the state shown in FIG. 5C is determined as a candidate for the abnormal solar cell panel 4. The abnormality analysis means 16 sets the three solar cell panels 1 of “K”, “O”, and “P” as candidates for the abnormal solar cell panel 4.

  When the abnormality detection unit 16 determines that the three solar cell panels 1 of “K”, “O”, and “P” are candidates for the abnormal solar cell panel 4, as shown in FIG. 7B, “K” “O”. One flag is added to each of the three solar cell panels 1 of “P”.

  Next, it is assumed that the cloud 3 has moved on the solar cell array as shown in FIGS. Also in this case, it is assumed that the transmittance of sunlight is halved in the shadow of the cloud 3 as compared with the outside of the shadow of the cloud 3.

  In the state shown in FIG. 6A, the expected power generation amount is 2.5α and the actual power generation amount is 2.5α. The difference between the expected power generation amount and the actual power generation amount at this time is zero. In the state of FIG. 6A, the expected power generation amount and the actual power generation amount coincide with each other.

  In the state shown in FIG. 6B, the expected power generation amount is 3α and the actual power generation amount is 2.7α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.3α. When shifting from the state of FIG. 6A to the state of FIG. 6B, the difference between the expected power generation amount and the actual power generation amount changes from 0 to 0.3α.

  In the state shown in FIG. 6C, the expected power generation amount is 3.5α and the actual power generation amount is 3.2α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.3α. When moving from the state of FIG. 6B to the state of FIG. 6C, the difference remains 0.3α.

  In the state shown in FIG. 6D, the expected power generation amount is 4α and the actual power generation amount is 3.7α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.3α. When shifting from the state of FIG. 6C to the state of FIG. 6D, the difference remains 0.3α.

  In the state shown in FIG. 6 (a) during the period in which the cloud 3 moves as shown in FIG. 6 (a) to FIG. 6 (d), the abnormality analysis means 16 calculates the expected power generation amount and the actual power generation amount. Detects a match. The abnormality analysis means 16 determines that the solar cell panel 1 that has entered and exited the shadow of the cloud 3 is not the abnormal solar cell panel 4 in response to detecting the coincidence between the expected power generation amount and the actual power generation amount. .

  The abnormality analysis means 16 includes six solar battery panels 1 of “E”, “I”, “J”, “M”, “N”, and “O” that are in the shadow of the cloud 3 in the state shown in FIG. This is excluded from the abnormal solar cell panel 4 candidates. When the abnormality detection means 16 decides to exclude the six solar cell panels 1 of “E”, “I”, “J”, “M”, “N”, and “O” from the candidates for the abnormal solar cell panel 4, FIG. The flag of the solar cell panel 1 standing in “b” is deleted as shown in FIG. In addition, about the solar cell panel 1 of "E" "I" "J" "M" "N", since there is no flag in the stage of FIG.7 (b), the state without a flag is maintained.

  Further, the abnormality analysis means 16 is in the shadow of the cloud 3 in the state shown in FIG. 5 (e), and “B” and “G” appearing from the shadow of the cloud 3 in the state shown in FIG. 6 (a). The four solar cell panels 1 of “K” and “P” are determined as candidates for the abnormal solar cell panel 4.

  When the abnormality detection unit 16 determines that the four solar cell panels 1 of “B”, “G”, “K”, and “P” are candidates for the abnormal solar cell panel 4, as shown in FIG. One flag is added to each of the four solar cell panels 1 of “G”, “K”, and “P”.

  By confirming the number of flags raised up to FIG. 7D from the display on the monitor 7, it is understood that there is a high possibility that the solar cell panel 1 of “K” is the abnormal solar cell panel 4.

  As described above, the abnormality analysis unit 16 monitors the movement of the cloud 3 and compares the expected power generation amount and the actual power generation amount. The anomaly detection means 16 is the difference between the expected power generation amount and the actual power generation amount in a situation where the cloud 3 moves so that some of the solar cell panels 1 move in and out of the shadow of the cloud 3. When there is a change, the solar cell panel 1 that has entered and exited the shadow of the cloud 3 is taken as a candidate for the abnormal solar cell panel 4.

  The abnormality analysis means 16 changes to the difference between the expected power generation amount and the actual power generation amount when the abnormal solar cell panel 4 enters the shadow of the cloud 3 and when the abnormal solar cell panel 4 comes out of the shadow of the cloud 3. A candidate for the abnormal solar battery panel 4 is selected by utilizing the occurrence of the above. Thereby, the solar cell system can easily narrow down the solar cell panels 1 that are likely to be abnormal solar cell panels 4 from the plurality of solar cell panels 1.

  According to the present embodiment, the solar cell system does not need to perform power generation measurement or electrical property investigation for each solar cell panel 1 in specifying the abnormal solar cell panel 4, and thus specify the abnormal solar cell panel 4. The work required until this time is greatly simplified. Thereby, there exists an effect that the labor and cost at the time of specifying the solar cell panel 4 which abnormality occurred from the some solar cell panel 1 which comprises a solar cell array can be reduced.

  In the description so far, the case where one of the plurality of solar cell panels 1 is the abnormal solar cell panel 4 is taken as an example. In the solar cell system, even when a plurality of solar cell panels 1 are abnormal solar cell panels 4, a plurality of abnormal solar cells are operated by the same operation as when the abnormal solar cell panel 4 is one. Panel 4 can be narrowed down.

  For example, it is assumed that two of the plurality of solar cell panels 1 are abnormal solar cell panels 4. In addition, also when there are three or more abnormal solar cell panels 4, the abnormal solar cell panels 4 can be narrowed down by the same operation as when there are two abnormal solar cell panels 4.

  FIGS. 8-1 to 11 are diagrams for explaining a method for inspecting a solar cell array. As shown in FIG. 8A, the two solar cell panels 1 of “F” and “K” are defined as abnormal solar cell panels 4. In FIG. 8A, it is assumed that none of the solar battery panels 1 is in the shadow of the cloud 3. Also in this example, it is assumed that the output of the string 2 including the abnormal solar cell panel 4 is 0.7α when the output of the string 2 including the normal solar cell panel 1 is α.

  In the state shown in FIG. 8A, the expected power generation amount by the 16 solar cell panels 1 is 4α. Since the abnormal solar battery panel 4 is included in the two strings 2, the actual power generation amount is 3.4α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.6α.

  Assume that the cloud 3 has moved from the state shown in FIG. 8-1 (a) on the solar cell array as shown in FIGS. 8-1 (b) to 8-2 (g). At this time, it is assumed that the transmittance of sunlight is halved in the shadow of the cloud 3 compared to the shadow of the cloud 3. When a part or the whole of the string 2 including the normal solar battery panel 1 is in the shadow of the cloud 3, the output of the string 2 is 0.5α. When a part or the whole of the string 2 including the abnormal solar battery panel 4 is in the shadow of the cloud 3, the output of the string 2 is 0.35α.

  In the state shown in FIG. 8-1 (b), the expected power generation amount is 3.5α and the actual power generation amount is 2.9α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.6α. When shifting from the state of FIG. 8-1 (a) to the state of FIG. 8-1 (b), the difference remains 0.6α.

  In the state shown in FIG. 8-1 (c), the expected power generation amount is 3α and the actual power generation amount is 2.55α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.45α. When shifting from the state of FIG. 8-1 (b) to the state of FIG. 8-1 (c), the difference changes from 0.6α to 0.45α.

  In the state shown in FIG. 8-2 (d), the expected power generation amount is 2.5α and the actual power generation amount is 2.2α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.3α. When shifting from the state of FIG. 8-1 (c) to the state of FIG. 8-2 (d), the difference changes from 0.45α to 0.3α.

  In the state shown in FIG. 8-2 (e), the expected power generation amount is 3α and the actual power generation amount is 2.55α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.45α. When shifting from the state of FIG. 8-2 (d) to the state of FIG. 8-2 (e), the difference changes from 0.3α to 0.45α.

  In the state shown in FIG. 8-2 (f), the expected power generation amount is 3.5α and the actual power generation amount is 2.9α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.6α. When shifting from the state of FIG. 8-2 (e) to the state of FIG. 8-2 (f), the difference changes from 0.45α to 0.6α.

  In the state shown in FIG. 8-2 (g), the expected power generation amount is 4α and the actual power generation amount is 3.4α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.6α. When shifting from the state of FIG. 8-2 (f) to the state of FIG. 8-2 (g), the difference remains 0.6α.

  When the cloud 3 moves from the state shown in FIG. 8-1 (b) to the state shown in FIG. 8-1 (c), the difference between the expected power generation amount and the actual power generation amount has changed. Is detected. The anomaly analysis means 16 “C”, “G” and “C” entered the shadow of the cloud 3 when the cloud 3 moves from the state shown in FIG. 8-1 (b) to the state shown in FIG. 8-1 (c). Three solar cell panels 1 of “K” are candidates for the abnormal solar cell panel 4.

  12A to 12D are diagrams illustrating display on the monitor. As shown in FIG. 12A, the abnormality detection means 16 is one for each of the three solar cell panels 1 of “C”, “G”, and “K” determined to be candidates for the abnormal solar cell panel 4. Add a flag.

  When the cloud 3 moves from the state shown in FIG. 8-1 (c) to the state shown in FIG. 8-2 (d), the abnormality analysis means 16 has changed the difference between the expected power generation amount and the actual power generation amount. Is detected. The anomaly analysis means 16 “B”, “F” and “B” entered the shadow of the cloud 3 when the cloud 3 moves from the state shown in FIG. 8-1 (c) to the state shown in FIG. 8-2 (d). The three solar cell panels 1 of “J” are candidates for the abnormal solar cell panel 4.

  As shown in FIG. 12-1 (b), the abnormality detecting means 16 is one for each of the three solar cell panels 1 "B", "F", and "J" that are determined as candidates for the abnormal solar cell panel 4. Add a flag.

  When the cloud 3 moves from the state shown in FIG. 8-2 (d) to the state shown in FIG. 8-2 (e), the abnormality analysis unit 16 has changed the difference between the expected power generation amount and the actual power generation amount. Is detected. The abnormality analysis means 16 outputs “G”, “K”, and “K” that appear from the shadow of the cloud 3 when the cloud 3 moves from the state shown in FIG. 8-2 (d) to the state shown in FIG. 8-2 (e). Four solar cell panels 1 of “O” and “B” are candidates for the abnormal solar cell panel 4.

  As shown in FIG. 12-1 (c), the abnormality detection means 16 applies to the four solar cell panels 1 of “G”, “K”, “O”, and “B” determined as candidates for the abnormal solar cell panel 4. Add flags one by one.

  When the cloud 3 moves from the state shown in FIG. 8-2 (e) to the state shown in FIG. 8-2 (f), the abnormality analysis means 16 has changed the difference between the expected power generation amount and the actual power generation amount. Is detected. When the cloud 3 moves from the state shown in FIG. 8-2 (e) to the state shown in FIG. 8-2 (f), the abnormality analysis unit 16 outputs “F”, “J”, “ The four solar cell panels 1 of “N” and “A” are candidates for the abnormal solar cell panel 4.

  As shown in FIG. 12-1 (d), the abnormality detection means 16 applies to the four solar cell panels 1 of “F”, “J”, “N”, and “A” that are determined as candidates for the abnormal solar cell panel 4. Add flags one by one.

  Next, another cloud 3 different from the cloud 3 shown in FIGS. 8-1 (a) to 8-2 (g) is the sun as shown in FIGS. 9-1 (a) to 9-2 (i). Suppose that it moves on the battery array. Also in this case, it is assumed that the transmittance of sunlight is halved in the shadow of the cloud 3 as compared with the outside of the shadow of the cloud 3.

  In FIG. 9A, it is assumed that none of the solar battery panels 1 is in the shadow of the cloud 3. In the state shown in FIG. 9A, the expected power generation amount is 4α and the actual power generation amount is 3.4α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.6α.

  In the state shown in FIG. 9-1 (b), the expected power generation amount is 2α and the actual power generation amount is 2α. The difference between the expected power generation amount and the actual power generation amount at this time is zero. In the state of FIG. 9-1 (b), the expected power generation amount and the actual power generation amount coincide with each other.

  In the state shown in FIG. 9-1 (c), the expected power generation amount is 2α and the actual power generation amount is 1.85α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.15α. When shifting from the state of FIG. 9-1 (b) to the state of FIG. 9-1 (c), the difference changes from 0 to 0.15α.

  In the state shown in FIG. 9-1 (d), the expected power generation amount is 2α and the actual power generation amount is 1.7α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.3α. When shifting from the state of FIG. 9-1 (c) to the state of FIG. 9-1 (d), the difference changes from 0.15α to 0.3α.

  In the state shown in FIG. 9-2 (e), the expected power generation amount is 2α and the actual power generation amount is 1.7α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.3α. When shifting from the state of FIG. 9-1 (d) to the state of FIG. 9-2 (e), the difference remains 0.3α.

  In the state shown in FIG. 9-2 (f), the expected power generation amount is 2α and the actual power generation amount is 1.7α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.3α. When shifting from the state of FIG. 9-2 (e) to the state of FIG. 9-2 (f), the difference remains 0.3α.

  In the state shown in FIG. 9-2 (g), the expected power generation amount is 2α and the actual power generation amount is 1.85α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.15α. When the state shown in FIG. 9-2 (f) shifts to the state shown in FIG. 9-2 (g), the difference changes from 0.3α to 0.15α.

  In the state shown in FIG. 9-2 (h), the expected power generation amount is 2α and the actual power generation amount is 2α. The difference between the expected power generation amount and the actual power generation amount at this time is zero. In the state of FIG. 9-2 (h), the expected power generation amount and the actual power generation amount coincide.

  In the state shown in FIG. 9-2 (i), the expected power generation amount is 4α and the actual power generation amount is 3.4α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.6α. When shifting from the state of FIG. 9-2 (h) to the state of FIG. 9-2 (i), the difference changes from 0 to 0.6α.

  When the cloud 3 moves from the state shown in FIG. 9-1 (a) to the state shown in FIG. 9-1 (b), the abnormality analysis unit 16 detects the coincidence between the expected power generation amount and the actual power generation amount. The anomaly analysis means 16 “A”, “B” and “A” entered the shadow of the cloud 3 when the cloud 3 moves from the state shown in FIG. 9-1 (a) to the state shown in FIG. 9-1 (b). It is determined that the four solar cell panels 1 of “C” and “D” are not abnormal solar cell panels 4.

  When the abnormality detection unit 16 determines to exclude the four solar cell panels 1 of “A”, “B”, “C”, and “D” from the candidates for the abnormal solar cell panel 4, in FIG. All the flags “A”, “B”, and “C” of the standing solar cell panel 1 are deleted as shown in FIG. In addition, about the solar cell panel 1 of "D", since there is no flag in the stage of Drawing 12-1 (d), the state without a flag is maintained.

  When the cloud 3 moves from the state shown in FIG. 9-1 (b) to the state shown in FIG. 9-1 (c), the abnormality analysis means 16 has changed the difference between the expected power generation amount and the actual power generation amount. Is detected. The anomaly analysis means 16 "E", "F", "" that entered the shadow of the cloud 3 when the cloud 3 moved from the state shown in FIG. 9-1 (b) to the state shown in FIG. 9-1 (c). The four solar cell panels 1 of “G” and “H” are candidates for the abnormal solar cell panel 4.

  As shown in FIG. 12-2 (f), the abnormality detection means 16 applies to the four solar cell panels 1 of “E”, “F”, “G”, and “H” that are determined as candidates for the abnormal solar cell panel 4. Add flags one by one.

  When the cloud 3 moves from the state shown in FIG. 9-1 (c) to the state shown in FIG. 9-1 (d), the abnormality analysis unit 16 has changed the difference between the expected power generation amount and the actual power generation amount. Is detected. The anomaly analysis means 16 “I”, “J” and “I” entered the shadow of the cloud 3 when the cloud 3 moves from the state shown in FIG. 9-1 (c) to the state shown in FIG. 9-1 (d). The four solar cell panels 1 of “K” and “L” are candidates for the abnormal solar cell panel 4.

  As shown in FIG. 12-2 (g), the abnormality detection unit 16 applies the four solar cell panels 1 “I”, “J”, “K”, and “L” that are determined as candidates for the abnormal solar cell panel 4. Add flags one by one.

  When the cloud 3 moves from the state shown in FIG. 9-2 (f) to the state shown in FIG. 9-2 (g), the abnormality analysis unit 16 has changed the difference between the expected power generation amount and the actual power generation amount. Is detected. When the cloud 3 moves from the state shown in FIG. 9-2 (f) to the state shown in FIG. 9-2 (g), the abnormality analysis means 16 outputs “E”, “F”, “ The four solar cell panels 1 of “G” and “H” are candidates for the abnormal solar cell panel 4.

  As shown in FIG. 12-2 (h), the abnormality detection means 16 applies to the four solar cell panels 1 of “E”, “F”, “G”, and “H” that are determined as candidates for the abnormal solar cell panel 4. Add flags one by one.

  When the cloud 3 moves from the state shown in FIG. 9-2 (g) to the state shown in FIG. 9-2 (h), the abnormality analysis unit 16 detects the coincidence between the expected power generation amount and the actual power generation amount. The abnormality analysis means 16 is in a state where “M” remains in the shadow of the cloud 3 when the cloud 3 moves from the state shown in FIG. 9-2 (g) to the state shown in FIG. 9-2 (h). The four solar cell panels 1 of “N”, “O”, and “P” are determined not to be abnormal solar cell panels 4.

  When the abnormality detection means 16 decides to exclude the four solar cell panels 1 of “M”, “N”, “O”, and “P” from the candidates for the abnormal solar cell panel 4, in FIG. All the flags of the standing solar battery panel 1 of “N” and “O” are deleted as shown in FIG. In addition, about the solar cell panel 1 of "M" "P", since there is no flag in the stage of FIG. 12-2 (h), the state without a flag is maintained.

  Clouds 3 other than the clouds 3 shown in FIGS. 9-1 (a) to 9-2 (i) are formed on the solar cell array as shown in FIGS. 10-1 (a) to 10-2 (g). Is moved. Also in this case, it is assumed that the transmittance of sunlight is halved in the shadow of the cloud 3 as compared with the outside of the shadow of the cloud 3. In the state shown in FIG. 10A, the expected power generation amount is 3.5α and the actual power generation amount is 2.9α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.6α.

  In the state shown in FIG. 10-1 (b), the expected power generation amount is 3α and the actual power generation amount is 2.7α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.3α. When shifting from the state of FIG. 10-1 (a) to the state of FIG. 10-1 (b), the difference changes from 0.6α to 0.3α.

  In the state shown in FIG. 10-1 (c), the expected power generation amount is 2.5α and the actual power generation amount is 2.2α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.3α. When shifting from the state of FIG. 10-1 (b) to the state of FIG. 10-1 (c), the difference remains 0.3α.

  In the state shown in FIG. 10-1 (d), the expected power generation amount is 2α and the actual power generation amount is 1.7α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.3α. When shifting from the state of FIG. 10-1 (c) to the state of FIG. 10-1 (d), the difference remains 0.3α.

  In the state shown in FIG. 10-2 (e), the expected power generation amount is 2.5α and the actual power generation amount is 2.35α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.15α. When shifting from the state of FIG. 10-1 (d) to the state of FIG. 10-2 (e), the difference changes from 0.3α to 0.15α.

  In the state shown in FIG. 10-2 (f), the expected power generation amount is 3α and the actual power generation amount is 2.7α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.3α. When the state shown in FIG. 10-2 (e) shifts to the state shown in FIG. 10-2 (f), the difference changes from 0.15α to 0.3α.

  In the state shown in FIG. 10-2 (g), the expected power generation amount is 4α and the actual power generation amount is 3.4α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.6α. When shifting from the state of FIG. 10-2 (f) to the state of FIG. 10-2 (g), the difference changes from 0.3α to 0.6α.

  When the cloud 3 moves from the state shown in FIG. 10-1 (a) to the state shown in FIG. 10-1 (b), the abnormality analysis means 16 has changed the difference between the expected power generation amount and the actual power generation amount. Is detected. The abnormality analysis means 16 determines that at least one abnormal solar cell panel 4 is included in the string 2 that newly enters the shadow of the cloud 3 when the state shown in FIG. . In this case, the abnormal solar cell panel 4 is present in the string 2 of “C”, “G”, “K”, and “O”. Since the difference between the expected power generation amount and the actual power generation amount remains with respect to the movement of the cloud 3 from the state shown in FIG. 10-1 (a) to the state shown in FIG. 10-1 (b), abnormality analysis is performed. The means 16 specifies the presence of the abnormal solar cell panel 4 with the string 2 as a unit. The abnormality analysis means 16 sets the four solar cell panels 1 of “C”, “G”, “K”, and “O” as candidates for the abnormal solar cell panel 4.

  As shown in FIG. 12-3 (j), the abnormality detecting means 16 applies to the four solar cell panels 1 of “C”, “G”, “K”, and “O” determined as candidates for the abnormal solar cell panel 4. Add flags one by one.

  When the cloud 3 moves from the state shown in FIG. 10-1 (d) to the state shown in FIG. 10-2 (e), the abnormality analysis means 16 has changed the difference between the expected power generation amount and the actual power generation amount. Is detected. The anomaly analysis means 16 includes “I” and “M” that are in the shadow of the cloud 3 when the cloud 3 moves from the state shown in FIG. 10-1 (d) to the state shown in FIG. 10-2 (e). Nine solar battery panels 1 of “H”, “L”, “P”, “C”, “G”, “K”, and “B” that come out from the shadow of the cloud 3 are candidates for the abnormal solar battery panel 4.

  As shown in FIG. 12-3 (k), the abnormality detection means 16 determines that “I”, “M” “H” “L” “P” “C” “G” “ One flag is added to each of the nine solar cell panels 1 of “K” and “B”.

  When the cloud 3 moves from the state shown in FIG. 10-2 (e) to the state shown in FIG. 10-2 (f), the abnormality analysis unit 16 has changed the difference between the expected power generation amount and the actual power generation amount. Is detected. When the cloud 3 moves from the state shown in FIG. 10-2 (e) to the state shown in FIG. 10-2 (f), the abnormality analysis means 16 outputs “A”, “F”, “ The four solar cell panels 1 of “J” and “O” are candidates for the abnormal solar cell panel 4.

  As shown in FIG. 12-3 (l), the abnormality detection unit 16 applies the four solar cell panels 1 of “A”, “F”, “J”, and “O” that are determined as candidates for the abnormal solar cell panel 4. Add flags one by one.

  Next, a cloud 3 different from the cloud 3 shown in FIGS. 10-1 (a) to 10-2 (g) moved on the solar cell array as shown in FIGS. 11 (a) to 11 (f). And Also in this case, it is assumed that the transmittance of sunlight is halved in the shadow of the cloud 3 as compared with the outside of the shadow of the cloud 3.

  In FIG. 11A, it is assumed that none of the solar battery panels 1 is in the shadow of the cloud 3. In the state shown in FIG. 11A, the expected power generation amount is 4α and the actual power generation amount is 3.4α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.6α.

  In the state shown in FIG. 11B, the expected power generation amount is 2α and the actual power generation amount is 2α. The difference between the expected power generation amount and the actual power generation amount at this time is zero. In the state of FIG. 11B, the expected power generation amount and the actual power generation amount coincide with each other.

  In the state shown in FIG. 11C, the expected power generation amount is 2α and the actual power generation amount is 1.7α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.3α. When shifting from the state of FIG. 11B to the state of FIG. 11C, the difference changes from 0 to 0.3α.

  In the state shown in FIG. 11D, the expected power generation amount is 2α and the actual power generation amount is 1.85α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.15α. When shifting from the state of FIG. 11C to the state of FIG. 11D, the difference changes from 0.3α to 0.15α.

  In the state shown in FIG. 11E, the expected power generation amount is 2.5α and the actual power generation amount is 2.5α. The difference between the expected power generation amount and the actual power generation amount at this time is zero. In the state of FIG. 11 (e), the expected power generation amount and the actual power generation amount coincide with each other.

  In the state shown in FIG. 11F, the expected power generation amount is 4α and the actual power generation amount is 3.4α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.6α. When shifting from the state of FIG. 11E to the state of FIG. 11F, the difference changes from 0 to 0.6α.

  When the cloud 3 moves from the state shown in FIG. 11A to the state shown in FIG. 11B, the abnormality analysis means 16 detects the coincidence between the expected power generation amount and the actual power generation amount. The abnormality analysis means 16 performs “A”, “B”, “C”, and “D” that are in the shadow of the cloud 3 when the cloud 3 moves from the state shown in FIG. 11A to the state shown in FIG. The six solar cell panels 1 of “G” and “H” are determined not to be abnormal solar cell panels 4.

  When the abnormality detection means 16 decides to exclude the six solar cell panels 1 of “A”, “B”, “C”, “D”, “G”, and “H” from the candidates for the abnormal solar cell panel 4, FIG. As shown in FIG. 12-4 (m), all the flags of the solar cell panel 1 of “A”, “B”, “C”, “G”, and “H” standing in 3 (l) are deleted. In addition, about the solar cell panel 1 of "D", since there is no flag in the stage of FIG. 12-3 (l), the state without a flag is maintained.

  When the cloud 3 moves from the state shown in FIG. 11B to the state shown in FIG. 11C, the abnormality analysis unit 16 detects that the difference between the expected power generation amount and the actual power generation amount has changed. The abnormality analysis means 16 performs “E”, “F”, “J”, and “K” that enter the shadow of the cloud 3 when the cloud 3 moves from the state shown in FIG. 11B to the state shown in FIG. The four solar cell panels 1 are regarded as candidates for the abnormal solar cell panel 4.

  As shown in FIG. 12-4 (n), the abnormality detection means 16 applies to the four solar cell panels 1 of “E”, “F”, “J”, and “K” that are determined as candidates for the abnormal solar cell panel 4. Add flags one by one.

  When the cloud 3 moves from the state shown in FIG. 11C to the state shown in FIG. 11D, the abnormality analysis unit 16 detects that the difference between the expected power generation amount and the actual power generation amount has changed. When the cloud 3 moves from the state shown in FIG. 11 (c) to the state shown in FIG. 11 (d), the abnormality analysis means 16 outputs “A”, “F”, “G”, and “H” from the shadow of the cloud 3. “L” and the seven solar cell panels 1 of “I” and “O” in the shadow of the cloud 3 are candidates for the abnormal solar cell panel 4.

  As shown in FIG. 12-4 (o), the abnormality detection means 16 determines “A”, “F”, “G”, “H”, “L”, “I”, and “O” that are determined as candidates for the abnormal solar battery panel 4. One flag is added to each of the seven solar cell panels 1.

  When the cloud 3 moves from the state shown in FIG. 11D to the state shown in FIG. 11E, the abnormality analysis unit 16 detects the coincidence between the expected power generation amount and the actual power generation amount. The anomaly analysis means 16 has three “M”, “N”, and “O” that have entered the shadow of the cloud 3 when the cloud 3 moves from the state shown in FIG. 11D to the state shown in FIG. One solar cell panel 1 is determined not to be an abnormal solar cell panel 4.

  When the abnormality detection unit 16 determines to exclude the three solar cell panels 1 of “M”, “N”, and “O” from the candidates for the abnormal solar cell panel 4, the abnormality detection unit 16 stands in FIG. All the flags of the solar cell panel 1 of “M” and “O” are erased as shown in FIG. In addition, about the solar cell panel 1 of "N", since there is no flag in the stage of FIG. 12-4 (o), the state without a flag is maintained.

  There is a possibility that the two solar cell panels 1 of “F” and “K” are abnormal solar cell panels 4 by confirming the number of flags set up to FIG. I understand that it is expensive. In this way, the solar cell system can easily narrow down the plurality of solar cell panels 1 that are likely to be abnormal solar cell panels 4 from the plurality of solar cell panels 1.

  FIG. 13 is a flowchart for explaining the inspection procedure of the solar cell array. In step S1, which is an expected power generation amount calculation step, the expected power generation amount calculation means 14 calculates an expected power generation amount (αe). In step S2, which is a power generation amount measurement step, the power generation amount measurement means 15 measures the actual power generation amount (αr). Steps S <b> 3 to S <b> 11 are abnormality analysis steps for performing analysis for specifying the abnormal solar cell panel 4 among the plurality of solar cell panels 1.

  In step S3, the abnormality analysis means 16 determines whether there is a difference between αe and αr. When it is determined that there is no difference between αe and αr (No in step S3), the abnormality analysis unit 16 determines that no abnormality has occurred in any of the plurality of solar cell panels 1. In this case, the solar cell system returns to step S1 and repeats the calculation of αe by the expected power generation amount calculation means 14.

  When it is determined that there is a difference between αe and αr (step S3, Yes), the abnormality analysis unit 16 acquires αe and αr according to the movement of the cloud 3 while monitoring the movement of the cloud 3 (step S4). ). In step S5, the abnormality analysis means 16 determines whether or not there is a difference between αe and αr acquired in step S4.

  When it is determined that there is a difference between αe and αr (step S5, Yes), the abnormality analysis unit 16 determines whether or not there is a change in the difference between αe and αr (step S6). When it is determined that there is no change in the difference between αe and αr (No in step S6), the abnormality analysis unit 16 returns to step S4 and monitors the movement of the cloud 3 and changes αe and Repeat αr acquisition.

  On the other hand, when it is determined that there is no difference between αe and αr (No in step S5), the abnormality analysis means 16 determines that the solar cell panel 1 that has entered and exited the shadow of the cloud 3 is a normal solar cell panel 1. To do. The abnormality analysis means 16 clears the flag for the solar cell panel 1 determined to be normal (step S7). Further, the abnormality analysis unit 16 returns to step S4 and repeats the acquisition of αe and αr according to the movement of the cloud 3 while monitoring the movement of the cloud 3.

  If it is determined in step S6 that the difference between αe and αr has changed (step S6, Yes), the abnormality analysis means 16 replaces the solar cell panel 1 that has entered and exited the shadow of the cloud 3 with the abnormal solar cell panel 4. Judge as a candidate. The abnormality analysis means 16 adds a flag for the solar cell panel 1 determined to have the possibility of occurrence of such an abnormality (step S8).

  The abnormality analysis means 16 counts the number of times that it is determined that there is a possibility of occurrence of abnormality in any of the plurality of solar cell panels 1. The abnormality analysis means 16 adds “1” to the count value every time the addition of the flag is finished in step S8 (step S9). Next, in step S10, the abnormality analysis unit 16 determines whether or not the count value is 100 or more.

  When the count value is less than 100 (No at Step S10), the solar cell system returns to Step S1 and repeats the calculation of αe by the expected power generation amount calculation means 14. When the count value is 100 or more (step S10, Yes), the abnormality analysis unit 16 identifies the abnormal solar battery panel 4 with reference to the number of flags (step S11). Thus, the solar cell system ends the inspection of the solar cell array. The specification of the abnormal solar battery panel 4 may be determined by the user according to the number of flags.

  The count value that the abnormality analysis unit 16 uses as a reference for the end of the inspection in step S10 is not limited to 100. It is assumed that the count value used as the reference for the end of the inspection can be arbitrarily set. The solar cell system can identify the abnormal solar cell panel 4 with higher accuracy as the count value as a reference for the end of the inspection is larger.

  For example, many solar battery panels 1 are installed in a mega solar system. When it is necessary to measure the amount of power generation and to investigate the electrical characteristics of all the solar cell panels 1 in order to identify the abnormal solar cell panel 4, the more solar cell panels 1 are installed, the more labor and cost are required. It becomes.

  According to the present embodiment, the solar cell system effectively reduces labor and cost when specifying the solar cell panel 1 in which an abnormality has occurred even when there are many installed solar cell panels 1. be able to.

  The solar cell system may appropriately change which of the still camera 10 and the video camera 11 is used to photograph the state of clouds above the solar cell array and the state of the solar cell array. The solar cell system can obtain the same effect even when the cloud and the solar cell array are photographed by either the still camera 10 or the video camera 11.

  The abnormality analysis means 16 is not limited to narrowing down the abnormal solar battery panel 4 until the abnormal solar battery panel 4 can be identified from the plurality of solar battery panels 1. For example, the abnormality analysis means 16 may narrow down the strings 2 including the abnormal solar cell panel 4 from the plurality of strings 2 constituting the solar cell array. When the string 2 including the abnormal solar cell panel 4 is narrowed down, the user or the like identifies the abnormal solar cell panel 4 by performing a power generation amount measurement or an electrical property investigation on each solar cell panel 1 in the string 2. . Also in this case, the solar cell system can obtain an effect of reducing labor and cost when specifying the solar cell panel 1 in which an abnormality has occurred.

  The abnormality analysis means 16 is not limited to one that analyzes the abnormality of the solar cell panel 1 based on the expected power generation amount and the actual power generation amount in real time. The abnormality analysis means 16 may analyze abnormality of the solar cell panel 1 based on the expected power generation amount and the actual power generation amount accumulated in the past, for example. Also in this case, the solar cell system can obtain an effect of reducing labor and cost when specifying the solar cell panel 1 in which an abnormality has occurred.

  The abnormality analysis means 16 uses the situation in which the clouds 3 move so that some of the plurality of solar cell panels 1 come in and out of the shadows of the clouds 3 to detect abnormalities in the solar cell panels 1. It is not limited to what is analyzed. The abnormality analysis means 16 analyzes the abnormality of the solar cell panel 1 by using a factor other than the movement of the clouds over the solar cell array as a variation factor that fluctuates the power generation amount of the solar cell panel 1. Also good.

  For example, the abnormality analysis unit 16 may use a situation similar to the situation in which the cloud 3 moves by moving an artificially created local shadow. For example, the abnormality analysis unit 16 may cool the solar cell panel 1 as a variation factor that varies the amount of power generation. The abnormality analysis means 16 analyzes the abnormality of the solar cell panel 1 in a situation where the solar cell array is locally cooled so that the places to be cooled are sequentially changed.

  The abnormality analysis means 16 is configured such that a variation factor that varies the amount of power generation is added to a part of the plurality of solar cell panels 1, and the solar cell panel 1 to which the variation factor is added includes a plurality of solar cells. In the case where the battery panels are sequentially changed, the solar cell panel 1 to which a variation factor is added when there is a change in the difference between the expected power generation amount and the actual power generation amount is regarded as a candidate for the abnormal solar cell panel 4. It ’s fine.

Embodiment 2. FIG.
FIG. 14 is a diagram for explaining the inspection method for the solar cell system according to the second embodiment of the present invention. The same parts as those in the first embodiment are denoted by the same reference numerals, and repeated description is omitted as appropriate.

  The solar cell system includes a solar cell array, a panel shader 5, a monitor 7, a personal computer (PC) 9, a still camera 10, a video camera 11, a pyranometer 12, and a thermometer 13.

  The solar cell array is composed of, for example, 16 solar cell panels 1 that form an array of 4 rows and 4 columns. In addition, the number of solar cell panels 1 constituting the solar cell array and the manner of arrangement are not limited to those described in the present embodiment, and may be changed as appropriate.

  The panel shader 5 covers the upper part of the solar cell panel 1 for each string 2. The panel shader 5 blocks the progress of sunlight. The panel light shield 5 is arranged in parallel with the string 2. The panel shade 5 is slidable in a direction perpendicular to the series direction of the strings 2.

  In the present embodiment, it is assumed that one of the plurality of solar cell panels 1 is an abnormal solar cell panel 4. As shown in FIG. 14A, it is assumed that the solar cell panel 1 of “K” is an abnormal solar cell panel 4. In the present embodiment, it is assumed that the output of the string 2 including the abnormal solar cell panel 4 is 0.7α, where α is the output of the string 2 including the normal solar cell panel 1.

  In FIG. 14A, it is assumed that the panel light shield 5 is located away from the solar cell array. It is assumed that none of the plurality of solar battery panels 1 is covered with the panel light shield 5. In the state shown in FIG. 14A, the expected power generation amount by the 16 solar cell panels 1 is 4α. Since the abnormal solar cell panel 4 is included in one string 2, the actual power generation amount is 3.7α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.3α. Since the actual power generation amount is smaller than the expected power generation amount, the abnormality analysis means 16 grasps that the plurality of solar cell panels 1 include the abnormal solar cell panel 4.

  Assume that the panel light shield 5 is moved leftward from the state shown in FIG. 14A to the state shown in FIG. In the state shown in FIG. 14 (b), the string 2 composed of the solar cell panels 1 of “D”, “H”, “L”, and “P” is covered with the panel light shield 5. At this time, the expected power generation amount is 3α and the actual power generation amount is 2.7α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.3α.

  Assume that the panel light shield 5 is moved leftward from the state shown in FIG. 14B to the state shown in FIG. In the state shown in FIG. 14C, the string 2 composed of the solar cell panels 1 of “C”, “G”, “K”, and “O” is covered with the panel light shield 5. At this time, the expected power generation amount is 3α and the actual power generation amount is 3α. The difference between the expected power generation amount and the actual power generation amount at this time is zero.

  Assume that the panel light shield 5 is moved leftward from the state shown in FIG. 14C to the state shown in FIG. In the state shown in FIG. 14D, the string 2 made up of the solar battery panels 1 of “B”, “F”, “J”, and “N” is covered with the panel light shield 5. At this time, the expected power generation amount is 3α and the actual power generation amount is 2.7α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.3α.

  Assume that the panel shade 5 is moved leftward from the state shown in FIG. 14D to the state shown in FIG. In the state shown in FIG. 14 (e), the string 2 including the solar cell panels 1 of “A”, “E”, “I”, and “M” is covered with the panel light shield 5. At this time, the expected power generation amount is 3α and the actual power generation amount is 2.7α. The difference between the expected power generation amount and the actual power generation amount at this time is 0.3α.

  The abnormality analysis means 16 is a solar cell of “C”, “G”, “K”, and “O” covered by the panel shader 5 in the state shown in FIG. 14C in which the expected power generation amount and the actual power generation amount match. It is determined that the abnormal solar cell panel 4 is included in the string 2 including the panel 1.

  When the string 2 including the abnormal solar cell panel 4 is narrowed down, the user or the like identifies the abnormal solar cell panel 4 by performing a power generation amount measurement or an electrical property investigation on each solar cell panel 1 in the string 2. . Thereby, also in Embodiment 2, the solar cell system can obtain the effect of reducing labor and cost when specifying the solar cell panel 1 in which an abnormality has occurred.

  The abnormality analysis means 16 is not limited to one that analyzes the abnormality of the solar cell panel 1 by using the panel light shield 5 that shields the solar cell panel 1 in units of the string 2. The abnormality analysis means 16 may analyze the abnormality of the solar cell panel 1 using a factor other than the installation of the panel light shield 5 as a variation factor that fluctuates the power generation amount of the solar cell panel 1.

  For example, the abnormality analysis unit 16 may force light to be incident on the solar cell panel 1 as a variation factor that fluctuates the power generation amount. The abnormality analysis means 16 analyzes the abnormality of the solar cell panel 1 in a situation where light is incident locally on the solar cell array using a projector or the like, and the places where the light is incident are sequentially changed.

Embodiment 3 FIG.
FIGS. 15-1 and 15-2 are diagrams for explaining the inspection method for the solar cell system according to the third embodiment of the present invention. The same parts as those in the first and second embodiments are denoted by the same reference numerals, and redundant description will be omitted as appropriate.

  The solar cell system includes a solar cell array, a panel shader 5, a monitor 7, a personal computer (PC) 9, a still camera 10, a video camera 11, a pyranometer 12, and a thermometer 13. The solar cell array is composed of, for example, 16 solar cell panels 1 that form an array of 4 rows and 4 columns. In addition, the number of solar cell panels 1 constituting the solar cell array and the manner of arrangement are not limited to those described in the present embodiment, and may be changed as appropriate.

  The solar cell array is provided with a changeover switch 8 for switching the direction of the string 2 by 90 degrees. In the state shown in FIG. 15A, the changeover switch 8 connects the solar cell panels 1 arranged in parallel in the column direction (first direction) which is the vertical direction of the paper surface, and the row direction (horizontal direction of the paper surface). The connection between the solar cell panels 1 arranged in parallel in the second direction is cut off. This state is appropriately referred to as a “first state”. The solar cell array includes a first state in which the series direction of the strings 2 is a first direction, and a second state in which the series direction of the strings 2 is a second direction perpendicular to the first direction. Switching is possible.

  In the first state shown in FIG. 15A, four solar cell panels 1 of “D”, “H”, “L”, and “P” and four solar cells of “C”, “G”, “K”, and “O”. The panel 1, the four solar cell panels 1 of “B”, “F”, “J”, and “N” and the four solar cell panels 1 of “A”, “E”, “I”, and “M” each have a string 2. It is composed. In the first state, each string 2 is the same as each string 2 in the second embodiment.

  In the first state shown in FIG. 15A, the panel light shield 5 is arranged with its longitudinal direction aligned with the first direction so as to be parallel to the string 2. The panel light shield 5 is slidable in a second direction that is perpendicular to the first direction that is the series direction of the strings 2.

  In the state shown in FIG. 15B, the change-over switch 8 connects the solar cell panels 1 arranged in parallel in the paper surface lateral direction (second direction) and in parallel in the paper surface vertical direction (first direction). The connection between the solar battery panels 1 is disconnected. This state is appropriately referred to as a “second state”.

  In the second state shown in FIG. 15B, four solar cell panels 1 of “A”, “B”, “C”, and “D” and four solar cells of “E”, “F”, “G”, and “H”. The panel 1, the four solar cell panels 1 of “I”, “J”, “K”, and “L” and the four solar cell panels 1 of “M”, “N”, “O”, and “P” each have a string 2. It is composed. The direction of each string 2 in the second state is perpendicular to the direction of each string 2 in the second embodiment.

  In the second state shown in FIG. 15B, the panel light shield 5 is arranged with its longitudinal direction aligned with the second direction so as to be parallel to the string 2. The panel light shield 5 is slidable in a first direction which is a direction perpendicular to a second direction which is a series direction of the strings 2.

  The abnormality analysis means 16 analyzes the abnormality of the solar cell panel 1 by the same method as in the second embodiment in each of the first state shown in FIG. 15-1 and the second state shown in FIG. 15-2. To do. The abnormality analysis means 16 can narrow down the abnormal solar cell panels 4 from the plurality of solar cell panels 1 based on the analysis result in the first state and the analysis result in the second state.

  Thereby, also in Embodiment 3, the solar cell system can obtain the effect of reducing labor and cost when specifying the solar cell panel 1 in which an abnormality has occurred.

Embodiment 4 FIG.
FIGS. 16A and 16B are diagrams for explaining an inspection method for the solar cell system according to the fourth embodiment of the present invention. The same parts as those in the first embodiment are denoted by the same reference numerals, and repeated description is omitted as appropriate.

  The solar cell system includes a solar cell array, a monitor 7, a personal computer (PC) 9, a still camera 10, a video camera 11, a pyranometer 12 and a thermometer 13. The solar cell array is composed of, for example, 16 solar cell panels 1 that form an array of 4 rows and 4 columns. In addition, the number of solar cell panels 1 constituting the solar cell array and the manner of arrangement are not limited to those described in the present embodiment, and may be changed as appropriate.

  In the solar cell array, a disconnector 6 is provided between each string 2 and an output unit to the system. The disconnector 6 switches connection and disconnection between the string 2 and the output unit.

  In the present embodiment, it is assumed that one of the plurality of solar cell panels 1 is an abnormal solar cell panel 4. As shown in FIGS. 16-1 (a) to 16-2 (e), it is assumed that the solar cell panel 1 of “K” is an abnormal solar cell panel 4.

  In FIG. 16A, the disconnector 6 is in a state where both the strings 2 are connected to the output unit. From the state shown in FIG. 16-1 (a), by operating the disconnector 6 as shown in FIG. 16-1 (b), from the solar cell panel 1 of “D” “H” “L” “P” The connection between the string 2 and the output unit is cut. The abnormality analysis means 16 obtains the difference between the expected power generation amount and the actual power generation amount at this time.

  Connection of the string 2 and the output unit from the state shown in FIG. 16-1 (b) to the state shown in FIGS. 16-1 (c), 16-2 (d), and 16-2 (e), respectively. The part to cut is moved to the left sequentially. The abnormality analysis unit 16 obtains a difference between the expected power generation amount and the actual power generation amount for each state in FIGS. 16-1 (c), 16-2 (d), and 16-2 (e).

  16-1 (a) to 16-2 (e), when the connection of the string 2 including “K” that is the abnormal solar battery panel 4 is disconnected, the expected power generation amount and the actual power generation amount are The amount of power generation will match. The abnormality analysis means 16 applies the abnormal solar power to the string 2 composed of the solar cell panels 1 of “C”, “G”, “K”, and “O” that have been disconnected when the expected power generation amount and the actual power generation amount match. It is determined that the battery panel 4 is included.

  When the string 2 including the abnormal solar cell panel 4 is narrowed down, the user or the like identifies the abnormal solar cell panel 4 by performing a power generation amount measurement or an electrical property investigation on each solar cell panel 1 in the string 2. . Thereby, also in Embodiment 4, a solar cell system can acquire the effect of reducing the labor and cost at the time of specifying the solar cell panel 1 in which abnormality occurred.

  The abnormality analysis means 16 is not limited to the one that analyzes the abnormality of the solar cell panel 1 using the disconnector 6 that switches the connection state with the output unit for each string 2. The abnormality analysis means 16 may analyze the abnormality of the solar cell panel 1 by using a factor other than cutting off the connection with the output unit as a variation factor that fluctuates the power generation amount of the solar cell panel 1. .

Embodiment 5 FIG.
FIG. 17 is a diagram for explaining an inspection method for a solar cell system according to Embodiment 5 of the present invention. The same parts as those in the first, third, and fourth embodiments are denoted by the same reference numerals, and repeated description is appropriately omitted.

  The solar cell system includes a solar cell array, a monitor 7, a personal computer (PC) 9, a still camera 10, a video camera 11, a pyranometer 12 and a thermometer 13. The solar cell array is composed of, for example, 16 solar cell panels 1 that form an array of 4 rows and 4 columns. In addition, the number of solar cell panels 1 constituting the solar cell array and the manner of arrangement are not limited to those described in the present embodiment, and may be changed as appropriate.

  The solar cell array is provided with a changeover switch 8 for switching the direction of the string 2 by 90 degrees. As in the third embodiment, the solar cell array includes a first state in which the series direction of the strings 2 is the first direction, and a series direction of the strings 2 that is a second direction perpendicular to the first direction. It is possible to switch to the second state. In the solar cell array, a disconnector 6 is provided between each string 2 and the output unit to the system.

  The solar cell array sets the direction of the string 2 to one of the first direction and the second direction by operating the changeover switch 8 and disconnects the disconnector 6 so that the connection between the string 2 and the output unit is sequentially disconnected. To operate. Along with the switching between the direction of the string 2 and the cutting, the abnormality analysis means 16 obtains the difference between the expected power generation amount and the actual power generation amount. Abnormality analysis means 16 analyzes the abnormality of solar cell panel 1 in the first state and the second state by the same method as in the fifth embodiment.

  The anomaly analysis means 16 is based on the analysis result when the direction of the string 2 is the first direction and the analysis result when the direction of the string 2 is the second direction. The abnormal solar battery panel 4 can be narrowed down from the inside. Thereby, also in Embodiment 3, the solar cell system can obtain the effect of reducing labor and cost when specifying the solar cell panel 1 in which an abnormality has occurred.

  1 solar panel, 2 strings, 3 clouds, 4 abnormal solar panel, 5 panel shader, 6 disconnector, 7 monitor, 8 changeover switch, 10 still camera, 11 video camera, 12 solarimeter, 13 thermometer, 14 Expected power generation amount calculation means, 15 power generation amount measurement means, 16 abnormality analysis means.

Claims (7)

A solar cell array comprising a plurality of solar cell panels;
Expected power generation amount calculating means for calculating an expected value of power generation amount by the plurality of solar cell panels;
A power generation amount measuring means for measuring an actual measurement value of the power generation amount by the plurality of solar cell panels;
An anomaly analysis means for performing an analysis for identifying a solar cell panel in which an abnormality has occurred among the plurality of solar cell panels;
Among some of the plurality of solar cell panels, a variation factor that varies the amount of power generation is added to a part of the plurality of solar cell panels, and a solar cell panel to which the variation factor is added is among the plurality of solar cell panels. In the case of sequential transition, the abnormality analysis means replaces the solar cell panel to which the variation factor is added when there is a change in the difference between the expected value and the actual measurement value with the candidate of the solar cell panel in which the abnormality has occurred. A solar cell system characterized by that. The variation factor is that a cloud moves over the solar cell array,
In the situation where the cloud moves so that some of the plurality of solar cell panels enter and leave the shadow of the cloud, the abnormality analysis means The solar cell system according to claim 1, wherein a solar cell panel that has entered and exited is a candidate for the solar cell panel in which the abnormality has occurred.   The said abnormality analysis means excludes the solar cell panel that is in the shadow when the difference becomes zero from the candidate solar cell panels in which the abnormality occurs. Solar cell system. The solar cell array includes a string in which solar cell panels arranged in parallel in one direction are wired in series,
The variation factor is that a light shield that shields the solar cell panel in units of the string is installed,
When the shader is moved for each string, the abnormality analysis means causes the abnormality to occur in the solar cell panel included in the string in which the shader is installed when the difference changes to zero. The solar cell system according to claim 1, wherein the solar cell system is a candidate for a solar cell panel. The solar cell array includes a string in which solar cell panels arranged in parallel in one direction are wired in series,
The variation factor is that the connection with the output unit to the system is cut in units of the string,
When the connection is disconnected for each of the strings, the abnormality analysis means causes the abnormality to occur in the solar cell panel included in the connection disconnected string when the difference changes to zero. The solar cell system according to claim 1, wherein the solar cell system is a candidate for a solar cell panel. The solar cell array includes a first state in which a series direction of the strings is a first direction, and a second state in which the series direction of the strings is a second direction perpendicular to the first direction; Can be switched to
The solar cell system according to claim 4 or 5, wherein the abnormality analysis means performs the analysis in each of the first state and the second state. An expected power generation amount calculating step for calculating an expected value of the power generation amount by a plurality of solar cell panels constituting the solar cell array;
A power generation amount measuring step of measuring an actual measurement value of the power generation amount by the plurality of solar cell panels;
An abnormality analysis step of performing analysis for identifying a solar cell panel in which an abnormality has occurred among the plurality of solar cell panels,
Among some of the plurality of solar cell panels, a variation factor that varies the amount of power generation is added to a part of the plurality of solar cell panels, and a solar cell panel to which the variation factor is added is among the plurality of solar cell panels. In the case of sequential transition, in the abnormality analysis step, the solar cell panel to which the variation factor is added when there is a change in the difference between the expected value and the actually measured value is replaced with a candidate solar cell panel in which the abnormality has occurred. A method for inspecting a solar cell system.

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