WO2016085008A1

WO2016085008A1 - System and method for diagnosing abnormality in each solar module

Info

Publication number: WO2016085008A1
Application number: PCT/KR2014/011538
Authority: WO
Inventors: 송기택; 이철송; 오지환
Original assignee: (주)대은
Priority date: 2014-11-28
Filing date: 2014-11-28
Publication date: 2016-06-02
Also published as: KR20160078532A

Abstract

The present invention relates to a module abnormality diagnosis system for diagnosing whether an abnormality has occurred in each solar module in a solar power generation system, and more specifically, to a system and a method for diagnosing abnormality in each solar module allowing, when diagnosing abnormality in each solar module, a comparative module group, to which a corresponding module is to be compared against, to be specified so as to include only modules having the same environmental conditions and/or power generation characteristics, that is, to include only modules having the same environmental conditions and/or power generation characteristics from among the modules located closest in distance to the module to be diagnosed, thereby allowing the diagnosis to be rapid and accurate.

Description

Fault diagnosis system and method for each solar module

The present invention relates to an abnormal diagnosis system for each module for diagnosing an abnormal occurrence of each solar module in a photovoltaic power generation system, and more specifically to a control module group that is contrasted with the corresponding module in performing an abnormal diagnosis for each solar module. The control module group can be specified only by modules having the same environmental conditions and / or power generation characteristics, and more specifically only modules having the same environmental conditions and / or power generation characteristics among the modules to be diagnosed and the modules closest to each other. The present invention relates to a photovoltaic module-specific abnormality diagnosis system and method for enabling rapid and accurate diagnosis.

Solar cells are devices that convert light energy from sunlight into electrical energy. A solar cell is a cell that generates electricity from light energy of sunlight (the smallest unit that generates electricity, hereinafter referred to as a 'cell'), a combination of the cells, and a cell module that sends electricity generated from each cell to the outside (extracting electricity Minimum unit, hereinafter referred to as a module), and a cell array defined as a combination of the above modules (hereinafter referred to as an 'array').

Here, the technology of the photovoltaic device that is the background of the present invention is Republic of Korea Patent Publication No. 10-0455250 (2004.10.22), 10-1028159 (2011,04,01) and 10-1049786 (2011, 07,11). In other words, the photovoltaic device further comprises a solar cell module, a storage battery, and a power conversion inverter in a power generation method using a solar cell that generates electricity.

If a problem occurs in a specific module among a number of modules due to various reasons such as shading, failure, aging, etc. in the operation and operation of the photovoltaic device, it is possible to diagnose and replace the module in which the error occurs, and to perform maintenance. More importantly, it is now unfamiliar with the method of diagnosing whether an abnormality occurs by a specific module that causes an abnormality, and it is difficult to guarantee the accuracy even if a module-specific diagnosis is to be performed.

(Patent literature)

Japanese Patent Publication JP5413933 (Registered on November 22, 2013) "Method and Apparatus for Determining Failure of Photovoltaic Power Plant"

The Japanese Patent Patent disclosed in (Patent Document) also calculates the amount of solar panel inclination from the total solar radiation conditions, date and time, and installation conditions measured for each solar power panel, and calculates the partial power generation amount for each solar panel using each of the solar panels. Although the technical idea of utilizing the same for failure diagnosis by panel is disclosed, the above contents are merely considered considering the solar radiation condition of each panel and the development characteristics of each panel. In contrasting a module with other modules, it is irrelevant to correctly identifying the module to be contrasted.

In other words, in order to accurately diagnose the abnormality of each solar module, the module should be judged based on the difference of its output characteristics compared to other modules, and other modules (hereinafter, ' The control module group 'should be composed only of modules placed under the same environmental conditions, so that the accuracy of the judgment can be improved. However, the specific method of the control module group has not been studied until now.

The present invention has been made to solve the above problems,

An object of the present invention, in the diagnosis of the solar module abnormality, it is possible to specify the control module group to be contrasted with the module only by modules having the same environmental conditions and / or development characteristics, the accuracy of the diagnosis of the module It is to provide an abnormal diagnosis system and method for each solar module that can be increased.

Another object of the present invention is to enable a rapid and accurate diagnosis by specifying a control module group with only modules having the same environmental conditions and / or power generation characteristics among the modules to be diagnosed and the modules closest to each other. It is to provide an abnormal diagnosis system and method for each solar module.

Abnormal diagnosis system and method for each solar module for achieving the above object of the present invention includes the following configuration.

An abnormality diagnosis system for each solar module according to an embodiment of the present invention includes an array including one or more solar modules for converting solar energy into electrical energy; An output sensing unit measuring an output value of each module of the array; And an abnormality diagnosis unit for diagnosing whether an abnormality has occurred in a specific module based on the output value of each module measured by the output detection unit, wherein the abnormality diagnosis unit includes a plurality of targets that are compared with a specific module to be diagnosed. In specifying the control module group, the control module group may be specified only by modules having the same output value around the specific module to be diagnosed.

According to another embodiment of the present invention, in the photovoltaic module-specific fault diagnosis system according to the present invention, the array is formed by arranging one or more photovoltaic modules in one or more rows and columns, and the abnormality diagnosis part includes a plurality of photovoltaic modules. A candidate group selection module for sequentially selecting a plurality of candidate groups including a specific module to be diagnosed in the array arranged in rows and columns of the control group and a control module group around the candidate group, and a candidate group selected through the candidate group selection module; And a control module group selection module for specifying a control module group including only modules having the same output value in contrast to the output value of the control module group.

According to another embodiment of the present invention, in the abnormal diagnosis system for each solar module according to the present invention, the candidate group selection module sequentially groups a plurality of candidate groups by grouping modules located in rows and columns around a specific module to be diagnosed in a square shape. It characterized in that the selection.

According to another embodiment of the present invention, in the fault diagnosis system for each solar module according to the present invention, the candidate group selection module includes a plurality of candidate groups having a square shape consisting of three rows by three columns including a specific module to be diagnosed. It is characterized in that the selection sequentially.

An abnormality diagnosis method for each solar module according to an embodiment of the present invention includes an output sensing step of measuring an output value of each module in an array in which one or more solar modules are arranged; And an abnormality diagnosis step of diagnosing whether an abnormality occurs in a specific module based on the output value of each module measured in the output detection step, wherein the abnormality diagnosis step is compared with a specific module to be diagnosed. In specifying a plurality of control module groups, the control module group may be specified only by modules having the same output value around a specific module to be diagnosed.

According to another embodiment of the present invention, in the fault diagnosis method for each solar module according to the present invention, the fault diagnosis step includes a specific module to be diagnosed in the array in which the solar modules are arranged in a plurality of rows and columns and A candidate group selection step of sequentially selecting a plurality of candidate groups consisting of surrounding control module groups, and a control module group including only modules having the same output value in comparison with the output values of the control module groups included in the candidate group selected through the candidate group selection step. It characterized in that it comprises a control module group selection step for specifying a.

According to another embodiment of the present invention, in the abnormal diagnosis method for each solar module according to the present invention, the candidate group selection step includes sequencing a plurality of candidate groups by grouping modules located in rows and columns around a specific module to be diagnosed in a square shape. It characterized in that the selection.

According to another embodiment of the present invention, in the method for diagnosing abnormalities of photovoltaic modules according to the present invention, the candidate group selection step includes a plurality of candidate groups having a square shape consisting of three rows x three columns including a specific module to be diagnosed. It is characterized in that the selection sequentially.

The present invention can obtain the following effects by the configuration, combination, and use relationship described above with the present embodiment.

The present invention can improve the accuracy of the diagnosis of the module by allowing the control module group to be contrasted with the module to specify only the modules having the same environmental conditions and / or development characteristics in the diagnosis of the solar module abnormality Has the effect.

The present invention has the effect of allowing a rapid and accurate diagnosis can be made by specifying a control module group with only modules having the same environmental conditions and / or power generation characteristics among the modules to be diagnosed and the modules closest to each other.

1 is a reference diagram showing a remote monitoring system of the photovoltaic device

2 is a reference diagram illustrating a state in which a portion of the shade is shaded in the array

Figure 3 is a block diagram showing the configuration of a fault diagnosis system for each solar module according to an embodiment of the present invention

4 is a reference diagram illustrating a case in which shadows (even if a surface is covered with dirt or dust) are generated around a specific module to be diagnosed.

5 is a reference diagram illustrating a case in which shadows (even when a surface is covered with dirt or dust) are generated, including a specific module to be diagnosed.

FIG. 6 is a block diagram illustrating a method for diagnosing abnormalities of photovoltaic modules according to an embodiment of the present invention. FIG.

* Description of the major signs used in the drawings

10: Module 11: Candidates

20: array 30: connection board

40: inverter 50: sensor

60: coordinator 70: output detection unit

80: abnormal diagnosis unit 810: candidate group selection module

820: control module group selection module

Hereinafter, with reference to the accompanying drawings, preferred embodiments of the solar module-specific abnormality diagnosis system and method according to the present invention will be described in detail. In the following description of the present invention, if it is determined that a detailed description of a known function or configuration may unnecessarily obscure the subject matter of the present invention, the detailed description thereof will be omitted. Throughout the specification, when a part is said to "include" any component, which means that it may further include other components, except to exclude other components unless specifically stated otherwise, also described in the specification The terms "... unit", "... module" and the like refer to a unit for processing at least one function or operation, which may be implemented by hardware or software or a combination of hardware and software.

1 is a reference diagram illustrating a remote monitoring system of a photovoltaic device. Referring to FIG. 1, the photovoltaic device includes an array 20 of a plurality of photovoltaic modules 10, which are the smallest units that actually transmit generated electricity to the outside, and have a small number in the case of large-scale photovoltaic power generation. Dozens, as many as hundreds or more of the array 20 is installed and operated (on the other hand, in the photovoltaic device in addition to the facility such as the connection panel 30, inverter 40, the sensor 50 for monitoring, transmission and reception Devices such as coordinator 60 for the purpose of). When operating such a photovoltaic device, the voltage of the photovoltaic module 10 is lowered (in other words, the efficiency of the module is lowered). At this time, the module 10 in which the voltage drop has occurred is accurately identified and When the cause of the voltage drop is notified to the operator, countermeasures such as replacement, repair, and cleaning of the module 10 are taken.

However, conventionally, the monitoring system of a photovoltaic device simply diagnoses the output deterioration at an array stage, and then, in the array, an inspector manually measures each module of the array to identify a module in which an abnormality occurs. Recently developed fault diagnosis system for each module also measures the output quantity of each module in the module stage, but the diagnosis of the module is performed with the measured value of the module and the average value of the entire array stage. It's just a simple comparison.

As described above, in the method of simply comparing the measured value measured in the module with the average value of the output of the entire array stage in order to diagnose the abnormality of a specific module, a situation in which various diagnostic inaccuracies may occur may occur. Referring to FIG. 2 (FIG. 2 is a reference diagram illustrating a state where a portion of the array 20 is shaded), the array 20 is formed when a portion of the array 20 is shaded due to a cloud or a shadow of a building. However, the output voltage decreases as a whole, and in this state, an abnormality as shown in FIG. 2 occurs based on the average value of the entire output of the array 20 stage (for example, a voltage value may be used). When the output value of the one module 10-1 having excessive staining on the surface is contrasted, the output value of the one module 10-1 in which the abnormality is obviously decreased and measured, but the array 20 as a reference for the contrast is measured. However, since the total output average value is also in a lowered state, the accuracy of diagnosis is significantly lower than that based on the average output value of the array 20 stage without any shading.

In addition, even in the case of diagnosing the abnormality of another module 10-2 belonging to the shaded portion of the array 20 in FIG. 2, the actual module 10-2 does not have any abnormality. Even though the module 10-2 is included in the shade, even though the output value is lowered, the entire output of the array 20 stage is caused by the portions that are not covered by the shade. Since the average value is relatively high compared to the entire shaded shadow, when compared with this, the probability of being diagnosed as if an abnormality occurs in the corresponding module 10-2 is generated, and thus the accuracy of diagnosis is reduced.

In order to fundamentally solve these problems, in the present invention, in the diagnosis of abnormality for each module, the control module (a module to be diagnosed) and the control module group to be contrasted are composed of only modules having the same environmental conditions and / or development characteristics. The purpose is to increase the speed and accuracy of the diagnosis by making it possible to specify the module group.

3 to 5, an abnormality diagnosis system for each solar module according to an embodiment of the present invention includes an output sensing unit 70 measuring an output value for each module 10 of the array 20; And an abnormality diagnosis unit 80 for diagnosing whether an abnormality has occurred in a specific module 10 based on the output value of each module 10 measured by the output detection unit 70. ) Specifies the control module group with only the modules 10 having the same output value around the specific module 10 to be diagnosed in specifying the control module group to be compared with the specific module 10 to be diagnosed. Characterized in that.

The output detection unit 70 is configured to measure each output value for each module 10 included in the array 20. For example, when the output value measured is a voltage value, a voltage measuring sensor may be used. .

The abnormality diagnosis unit 80 is a configuration for diagnosing whether or not an abnormality occurs in a specific module 10 based on the output value of each module 10 measured by the output detection unit 70. In order to be able to fundamentally solve the problem as pointed out by the problem of the present invention, in the specification of a plurality of control module groups to be contrasted with the specific module 10 to be diagnosed, the area around the specific module 10 to be diagnosed In order to specify the control module group with only the modules 10 having the same output value.

That is, the modules 10 included in the control module group all have the same output value (environmental condition or power generation characteristics), and thus, the control module group in which the modules included in the shade and the modules not included as described above are mixed. Alternatively, the control module group, which is a mixture of modules covered with dust or dirt and a module that is not covered with the surface, may be prevented from occurring, thereby increasing the accuracy of diagnosis, and the specific module 10 to which the control module group is diagnosed. By selecting a specific module 10 to be diagnosed without being far away from the corresponding module 10, the specific module 10 to be diagnosed is in the shade, while the modules of the control module group are blocked out of the shade to prevent the occurrence of a situation, etc. To increase.

More specifically, for example, when the array 20 is formed by arranging one or more photovoltaic modules 10 in one or more rows and columns, as shown in FIG. 4, the abnormality diagnosis unit 80 may include A candidate group selection module 810 for sequentially selecting a plurality of candidate groups including a specific module to be diagnosed and a control module group around the optical module 10 in the array () arranged in a plurality of rows and columns; It may include a control module group selection module 820 for specifying a control module group consisting of only modules having the same output value in contrast to the output value of the control module group included in the candidate group selected by the candidate group selection module 810.

The candidate group selection module 810 refers to a configuration for sequentially selecting various combinations of a specific module to be diagnosed and a control module group consisting of modules around a specific module with respect to the specific module as a plurality of candidate groups. Preferably, the candidate group selection module 810 bundles modules located in rows and columns around a specific module to be diagnosed in a square form (for example, a square form consisting of 3 rows x 3 columns including a specific module to be diagnosed). A method of sequentially selecting a plurality of candidate groups may be applied, but the candidate group selection method is not limited thereto.

Hereinafter, in order to facilitate understanding of the present invention, for example, the candidate group selection module 810 is described in such a manner as to sequentially select candidate groups in a square form consisting of 3 rows x 3 columns including a specific module to be diagnosed. Do it.

FIG. 4 is a reference diagram illustrating a case in which shadows (even when a surface is covered with dirt or dust) are generated around a specific module to be diagnosed. Referring to FIG. 4, a specific module 10-a to be diagnosed is illustrated. ), The candidate group selection module 810 has three rows including the specific module 10-a centered on the specific module 10-a to be diagnosed in a state where shadowing is not included in the shadow. A square candidate group consisting of 3 columns (9 modules 10 in total) is selected and presented in a sequence of 9 candidate groups 11-1 to 11-9. In this case, the control module group selection module 820 is selected. ) Is for the candidate groups 11-1 to 11-9 selected through the candidate group selection module 810, only the modules included in the remaining control module group except for the specific module 10-a to be diagnosed. Consist of only modules with the same output compared to the output The module group is specified. In the example of FIG. 4, in the other candidate groups 11-1 to 11-8 among the candidate groups 11-1 to 11-9, modules included in the control module group and modules not included in the shadow are mixed. On the other hand, in the 11-9 candidate group, all of the modules included in the control module group are composed of only modules that are not included in the shade like the specific module 10-a to be diagnosed, and only those modules having the same output value are included. Therefore, the control module group consisting of the remaining modules except for the specific module 10-a to be included in the 11-9 candidate group is specified. In this case, the specific module 10-a to be diagnosed has a lower output value than the average output value of the control module group through contrast with the control module group raised in the same environmental condition (not included in the shade). In this case, it is diagnosed as an abnormality, and thus the accuracy of diagnosis can be improved as compared with the case where another control module group is selected.

As another example, FIG. 5 is a reference diagram illustrating a case in which shadows (even when a surface is covered with dirt or dust) are generated, including a specific module to be diagnosed. Referring to FIG. In this case, the candidate group selection module 810 is focused on the specific module 10-b to be diagnosed. Square candidate group consisting of 3 rows x 3 columns (9 modules 10 in total) including the specific module 10-b, and a total of 9 candidate groups 11-1 to 11-9 are sequentially selected. In this case, the control module group selection module 820 is a specific module 10-b to be diagnosed with respect to the candidate groups 11-1 to 11-9 selected through the candidate group selection module 810. Same as the output value of the modules included in the control module group except for Specify a control module group consisting only of modules with output values. In the example of FIG. 5, in the other candidate groups 11-1 to 11-4 and 11-6 to 11-9 of the candidate groups 11-1 to 11-9, the modules included in the control module group are included in the shade. While modules and modules not included are mixed, in the 11-5 candidate group, all the modules included in the control module group, like the specific module 10-b to be diagnosed, are composed of only the modules included in the shade. Since only the modules having an output value are included, a control module group including only the other modules except for the specific module 10-b to be included in the 11-5 candidate group is specified. In this case, the specific module 10-b to be diagnosed has a lower output value than the average output value of the control module group through contrast with the control module group raised to the same environmental condition (the shade included in the shade). Diagnosis is caused by an abnormality (i.e., even though the specific module 10-b itself is included in the shade, the diagnosis can be made without being limited to it). Can increase the accuracy.

As described above, the abnormal diagnosis system for each solar module according to the present invention is irrespective of whether or not the module to be diagnosed is in the shade or not, or is covered with dust or stain or maintains a clean surface. It is possible to quickly identify the control module group under the same environmental condition (to power generation condition) as a contrast target and perform the diagnosis based on this. Therefore, it is possible to make the diagnosis by module faster and more accurately than before. .

Hereinafter, a description will be given of a fault diagnosis method for each solar module that implements the system described above.

Referring to FIG. 6, a method for diagnosing abnormalities of photovoltaic modules according to an embodiment of the present invention includes measuring output values of respective modules 10 in an array 20 in which one or more photovoltaic modules 10 are arranged. An output sensing step S10; And an abnormality diagnosing step (S20) for diagnosing whether an abnormality has occurred in a specific module 10 based on the output value of each module 10 measured in the output detecting step (S10). ) Designates a control module group using only modules 10 having the same output value around the specific module 10 to be diagnosed in specifying a plurality of control module groups to be contrasted with the specific module 10 to be diagnosed. It is characterized by specifying.

The output sensing step S10 is a process of measuring each output value for each module 10 included in the array 20. For example, when the output value measured is a voltage value, a voltage measuring sensor may be used. .

The abnormal diagnosis step (S20) is a process of diagnosing whether an abnormality has occurred in a specific module 10 based on the output value of each module 10 measured in the output detection step S10, and more specifically, a solar module ( A candidate group selection step of sequentially selecting a plurality of candidate groups 11 including a specific module 10 to be diagnosed and a control module group around the same in the array 20 arranged in a plurality of rows and columns (10) S21 and a control module group selection for specifying a control module group consisting of only the modules 10 having the same output value in contrast to the output value of the control module group included in the candidate group 11 selected through the candidate group selection step (S21). Step S22 may be included.

The candidate group selection step S21 may include a plurality of candidate groups 11 including various combinations of a specific module 10 to be diagnosed and a control module group composed of modules around the specific module 10 around the specific module 10. ) Means the process of selecting sequentially. Preferably, the candidate group selection step (S21) bundles modules located in rows and columns around a specific module to be diagnosed in a square form (for example, a square form consisting of 3 rows x 3 columns including a specific module to be diagnosed). A method of sequentially selecting a plurality of candidate groups may be applied, but the candidate group selection method is not limited thereto. Since the method of sequentially selecting the candidate group in the candidate group selecting step (S21) is the same as described above with reference to FIGS. 4 and 5, description thereof will be omitted to avoid redundant descriptions.

The control module group selection step S22 may include a control module group including only the modules 10 having the same output value in contrast to the output value of the control module group included in the candidate group 11 selected through the candidate group selection step S21. To be specified.

As described above, the abnormal diagnosis system for each solar module according to the present invention is irrespective of whether or not the module 10 to be diagnosed is in the shade or not, or is covered with dust or stain or maintains a clean surface. The control module group placed under the same environmental conditions (or power generation conditions) as the target module 10 can be quickly identified as a contrast target and the diagnosis can be performed based on the diagnosis. It has the characteristic to become.

In the above, the Applicant has described preferred embodiments of the present invention, but these embodiments are merely one embodiment for implementing the technical idea of the present invention, and any changes or modifications may be made as long as the technical idea of the present invention is implemented. Should be interpreted as being within the scope.

Claims

An array comprising one or more solar modules for converting solar energy into electrical energy;

An output sensing unit measuring an output value of each module of the array; And

And an abnormality diagnosis unit for diagnosing whether or not an abnormality has occurred in a specific module based on the output value of each module measured by the output detection unit.

The abnormality diagnosis unit specifies a control module group using only modules having the same output value around a specific module to be diagnosed in specifying a specific module to be diagnosed and a plurality of control module groups to be contrasted with. Module-specific fault diagnosis system.
The method of claim 1,

The array is formed by arranging one or more solar modules in one or more rows and columns,

The abnormality diagnosis unit includes: a candidate group selection module for sequentially selecting a plurality of candidate groups including a specific module to be diagnosed and a control module group around the photovoltaic module in the array arranged in a plurality of rows and columns; And a control module group selection module for specifying a control module group including only modules having the same output value in contrast to the output value of the control module group included in the candidate group selected through the module.
The method of claim 2,

The candidate group selection module includes a module located in rows and columns around a specific module to be diagnosed in a square shape to sequentially select a plurality of candidate groups.
The method of claim 3, wherein

The candidate group selection module is a photovoltaic module abnormality diagnosis system, characterized in that for selecting a plurality of candidate groups of the square form consisting of three rows × three columns containing a specific module to be diagnosed in sequence.
An output sensing step of measuring an output value of each module in an array of one or more photovoltaic modules; And

And an abnormality diagnosis step of diagnosing whether or not an error occurs in a specific module based on the output value of each module measured in the output detection step.

In the abnormal diagnosis step, in specifying the plurality of control module groups to be contrasted with the specific module to be diagnosed, the control module group is specified only by modules having the same output value around the specific module to be diagnosed. Diagnosis method for each solar module.
The method of claim 5, wherein

The abnormal diagnosis step includes a candidate group selection step of sequentially selecting a plurality of candidate groups including a specific module to be diagnosed and a control module group around the photovoltaic module in the array arranged in a plurality of rows and columns, and the candidate group. And a control module group selection step of specifying a control module group including only modules having the same output value in contrast to the output value of the control module group included in the candidate group selected through the selection step. .
The method of claim 6,

The candidate group selecting step includes a method of diagnosing abnormality for each solar module, characterized in that a plurality of candidate groups are sequentially selected by grouping modules located in rows and columns around a specific module to be diagnosed in a square shape.
The method of claim 7, wherein

The candidate group selection step of the abnormal diagnosis method for each solar module, characterized in that for selecting a plurality of candidate groups of the square form consisting of three rows × three columns containing a specific module to be diagnosed.