CN114123970B - Method, device, equipment and computer storage medium for detecting power generation loss - Google Patents
Method, device, equipment and computer storage medium for detecting power generation loss Download PDFInfo
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- CN114123970B CN114123970B CN202111207146.XA CN202111207146A CN114123970B CN 114123970 B CN114123970 B CN 114123970B CN 202111207146 A CN202111207146 A CN 202111207146A CN 114123970 B CN114123970 B CN 114123970B
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- 238000010248 power generation Methods 0.000 title claims abstract description 122
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Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02S—GENERATION OF ELECTRIC POWER BY CONVERSION OF INFRARED RADIATION, VISIBLE LIGHT OR ULTRAVIOLET LIGHT, e.g. USING PHOTOVOLTAIC [PV] MODULES
- H02S50/00—Monitoring or testing of PV systems, e.g. load balancing or fault identification
- H02S50/10—Testing of PV devices, e.g. of PV modules or single PV cells
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/50—Photovoltaic [PV] energy
Abstract
The application discloses a method, a device, equipment and a computer storage medium for detecting generating capacity loss, wherein the method, the device, the equipment and the computer storage medium are used for acquiring electrical parameters and environmental parameters of a photovoltaic module to be detected, and detecting whether shadow shielding exists in the photovoltaic module to be detected according to the electrical parameters and the environmental parameters; if the to-be-detected photovoltaic module is shaded, determining the shading type of the to-be-detected photovoltaic module according to the electrical parameter and the environmental parameter, and obtaining a detection result; and calculating the power generation loss of the photovoltaic module to be tested according to the detection result, the electrical parameter and the environmental parameter. The method and the device can accurately detect whether the to-be-detected photovoltaic module has shadow shielding and the detection result of the shielding type when the shadow shielding exists, calculate the generating capacity loss of the to-be-detected photovoltaic module according to the detection result, the electrical parameter and the environmental parameter, and facilitate operation and maintenance of the to-be-detected photovoltaic module by operation and maintenance personnel according to the detection result and the generating capacity loss, so that the operation and maintenance efficiency of the photovoltaic module is improved.
Description
Technical Field
The application relates to the technical field of photovoltaic power generation, in particular to a method, a device, equipment and a computer storage medium for detecting power generation loss.
Background
The photovoltaic power generation is used as a main mode in solar power generation, has the characteristics of no fuel consumption, no pollution discharge, flexible form, unlimited scale, safety, reliability and the like, has wide application prospect, is widely focused by students at home and abroad, and has higher requirements and challenges on the operation and maintenance of a photovoltaic power station due to increasingly-increased power generation capacity and increasingly-complex power generation environment. The shadow shielding judgment of the photovoltaic module is an important ring of photovoltaic operation and maintenance, and the shadow shielding is mainly caused by shielding of front-row modules, mountain bodies, upright posts, foreign matters or growing vegetation in the surrounding environment of the modules, which are caused by unreasonable installation intervals or inclination angles of the modules. Shadow shielding can enable a power generation curve of the photovoltaic module to be multimodal, so that the maximum power point cannot be tracked, and the photovoltaic power generation efficiency is reduced; and the shadow shielding of a long-term and fixed area can form a hot spot effect, so that the risk of ageing and cracking of the component is increased, and the component is further caused to fail when the risk is serious. The traditional technology only gives a judgment result of shadow shielding, but cannot evaluate the generated energy loss caused by shadow shielding, so that the efficiency of operating and maintaining the photovoltaic component is lower.
Disclosure of Invention
The application mainly aims to provide a method, a device, equipment and a computer storage medium for detecting power generation loss, and aims to solve the technical problem that the efficiency of operation and maintenance of a photovoltaic module is low at present.
In order to achieve the above object, an embodiment of the present application provides a method for detecting a power generation amount loss, including:
acquiring electrical parameters and environmental parameters of a photovoltaic module to be tested, and detecting whether shadow shielding exists in the photovoltaic module to be tested according to the electrical parameters and the environmental parameters;
if the to-be-detected photovoltaic module is shaded, determining the shading type of the to-be-detected photovoltaic module according to the electrical parameter and the environment parameter, and obtaining a detection result;
and calculating the power generation loss of the photovoltaic component to be tested according to the detection result, the electrical parameter and the environmental parameter.
Preferably, the step of calculating the power generation loss of the photovoltaic module to be tested according to the detection result, the electrical parameter and the environmental parameter includes:
if the detection result shows that the photovoltaic module to be detected has non-mountain shielding, calculating the power generation loss of the photovoltaic module to be detected according to a first preset power generation loss calculation formula, the electrical parameter and the environmental parameter;
And if the detection result shows that the mountain shielding exists in the photovoltaic module to be detected, calculating the generating capacity loss of the photovoltaic module to be detected according to a second preset generating capacity loss calculation formula, the electrical parameter and the environmental parameter.
Preferably, the step of detecting whether the photovoltaic module to be tested is shaded according to the electrical parameter and the environmental parameter includes:
calculating a difference between the electrical parameter and the environmental parameter;
comparing the difference value with a preset difference value threshold value to obtain a first comparison result;
and determining whether shadow shielding exists in the photovoltaic module to be tested according to the first comparison result.
Preferably, the step of determining the shielding type of the to-be-detected photovoltaic module according to the electrical parameter and the environmental parameter, and obtaining the detection result includes:
respectively calculating a first bias coefficient of the electrical parameter and a second bias coefficient of the environmental parameter;
and determining the shielding type of the photovoltaic module to be detected according to the first deviation coefficient and the second deviation coefficient, and obtaining a detection result according to the shielding type of the photovoltaic module to be detected.
Preferably, the step of determining the shielding type of the photovoltaic module to be tested according to the first bias coefficient and the second bias coefficient includes:
Determining a threshold range of the bias coefficient according to the second bias coefficient;
comparing the first bias coefficient with the bias coefficient threshold range to obtain a second comparison result;
and determining the shielding type of the photovoltaic module to be tested according to the second comparison result.
Preferably, after the step of obtaining the electrical parameter of the photovoltaic module to be tested and the environmental parameter thereof, the method further includes:
detecting whether alarm information based on the electrical parameter and the environmental parameter exists;
if the alarm information exists, executing the steps of: and acquiring the electrical parameters and the environmental parameters of the photovoltaic module to be tested until no alarm information based on the electrical parameters and the environmental parameters exists.
Preferably, after the step of obtaining the electrical parameter of the photovoltaic module to be tested and the environmental parameter thereof, the method further includes:
and carrying out data preprocessing on the electrical parameters and the environmental parameters to obtain preprocessed electrical parameters and preprocessed environmental parameters, wherein the data preprocessing comprises data screening and data normalization.
In order to achieve the above object, the present application also provides a power generation amount loss detection device including:
The detection module is used for acquiring the electrical parameters and the environmental parameters of the photovoltaic module to be detected, and detecting whether shadow shielding exists in the photovoltaic module to be detected according to the electrical parameters and the environmental parameters;
the determining module is used for determining the shielding type of the photovoltaic module to be detected according to the electrical parameter and the environmental parameter if the photovoltaic module to be detected is shaded, so as to obtain a detection result;
and the calculation module is used for calculating the power generation loss of the photovoltaic module to be tested according to the detection result, the electrical parameter and the environmental parameter.
Further, in order to achieve the above object, the present application also provides a power generation amount loss detection apparatus including a memory, a processor, and a power generation amount loss detection program stored on the memory and operable on the processor, the power generation amount loss detection program realizing the steps of the power generation amount loss detection method described above when executed by the processor.
Further, in order to achieve the above object, the present application also provides a computer storage medium having stored thereon a power generation amount loss detection program which, when executed by a processor, implements the steps of the power generation amount loss detection method described above.
Further, to achieve the above object, the present application also provides a computer program product, including a computer program, which when executed by a processor, implements the steps of the method for detecting a loss of power generation amount described above.
The embodiment of the application provides a method, a device, equipment and a computer storage medium for detecting generating capacity loss, which are used for acquiring electrical parameters and environmental parameters of a photovoltaic module to be detected and detecting whether shadow shielding exists in the photovoltaic module to be detected according to the electrical parameters and the environmental parameters; if the to-be-detected photovoltaic component is shaded, determining the shading type of the to-be-detected photovoltaic component according to the electrical parameter and the environmental parameter, and obtaining a detection result; and calculating the power generation loss of the photovoltaic module to be tested according to the detection result, the electrical parameter and the environmental parameter. According to the shadow shielding detection method and device, shadow shielding detection can be carried out on the to-be-detected photovoltaic module through the electrical parameters and the environment parameters of the to-be-detected photovoltaic module, whether the to-be-detected photovoltaic module is shielded by the shadow or not can be accurately detected, the shielding type is determined when the to-be-detected photovoltaic module is shielded by the shadow, the detection result is obtained, the generating capacity loss of the to-be-detected photovoltaic module is further calculated according to the detection result, the electrical parameters and the environment parameters, operation and maintenance personnel can conveniently operate and maintain the to-be-detected photovoltaic module according to the detection result and the generating capacity loss, and the operation and maintenance efficiency of the photovoltaic module is improved.
Drawings
FIG. 1 is a schematic diagram of a hardware operating environment according to an embodiment of a method for detecting power generation loss of the present application;
FIG. 2 is a schematic flow chart of a first embodiment of a method for detecting power generation loss according to the present application;
FIG. 3 is a schematic diagram of a first flow chart of a second embodiment of a method for detecting a power generation loss according to the present application;
FIG. 4 is a schematic diagram of a second flow chart of a second embodiment of a method for detecting a power generation loss according to the present application;
FIG. 5 is a schematic flow chart of a third embodiment of a method for detecting power generation loss according to the present application;
FIG. 6 is a flowchart of a fourth embodiment of a method for detecting power generation loss according to the present application;
FIG. 7 is a schematic flow chart of a fifth embodiment of a method for detecting power generation loss according to the present application;
FIG. 8 is a schematic diagram of functional modules of a preferred embodiment of the power generation loss detection device of the present application.
The achievement of the objects, functional features and advantages of the present application will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
The embodiment of the application provides a method, a device, equipment and a computer storage medium for detecting generating capacity loss, which are used for acquiring electrical parameters and environmental parameters of a photovoltaic module to be detected and detecting whether shadow shielding exists in the photovoltaic module to be detected according to the electrical parameters and the environmental parameters; if the to-be-detected photovoltaic component is shaded, determining the shading type of the to-be-detected photovoltaic component according to the electrical parameter and the environmental parameter, and obtaining a detection result; and calculating the power generation loss of the photovoltaic module to be tested according to the detection result, the electrical parameter and the environmental parameter. According to the shadow shielding detection method and device, shadow shielding detection can be carried out on the to-be-detected photovoltaic module through the electrical parameters and the environment parameters of the to-be-detected photovoltaic module, whether the to-be-detected photovoltaic module is shielded by the shadow or not can be accurately detected, the shielding type is determined when the to-be-detected photovoltaic module is shielded by the shadow, the detection result is obtained, the generating capacity loss of the to-be-detected photovoltaic module is further calculated according to the detection result, the electrical parameters and the environment parameters, operation and maintenance personnel can conveniently operate and maintain the to-be-detected photovoltaic module according to the detection result and the generating capacity loss, and the operation and maintenance efficiency of the photovoltaic module is improved.
As shown in fig. 1, fig. 1 is a schematic structural diagram of a detection device for power generation loss in a hardware operation environment according to an embodiment of the present application.
In the following description, suffixes such as "module", "component", or "unit" for representing elements are used only for facilitating the description of the present application, and have no specific meaning in themselves. Thus, "module," "component," or "unit" may be used in combination.
The equipment for detecting the power generation loss in the embodiment of the application can be PC, tablet personal computers, portable computers and other movable terminal equipment.
As shown in fig. 1, the power generation amount loss detection apparatus may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display, an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may further include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a stable memory (non-volatile memory), such as a disk memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
It will be appreciated by those skilled in the art that the power generation amount loss detection apparatus structure shown in fig. 1 does not constitute a limitation of the power generation amount loss detection apparatus, and may include more or less components than those illustrated, or may combine some components, or may be a different arrangement of components.
As shown in fig. 1, an operating system, a network communication module, a user interface module, and a detection program of the power generation amount loss may be included in the memory 1005 as one type of storage medium.
In the device shown in fig. 1, the network interface 1004 is mainly used for connecting to a background server, and performing data communication with the background server; the user interface 1003 is mainly used for connecting a client (user terminal) and performing data communication with the client; and the processor 1001 may be configured to call a detection program of the loss of the amount of power generation stored in the memory 1005, and perform the following operations:
acquiring electrical parameters and environmental parameters of a photovoltaic module to be tested, and detecting whether shadow shielding exists in the photovoltaic module to be tested according to the electrical parameters and the environmental parameters;
if the to-be-detected photovoltaic module is shaded, determining the shading type of the to-be-detected photovoltaic module according to the electrical parameter and the environment parameter, and obtaining a detection result;
And calculating the power generation loss of the photovoltaic component to be tested according to the detection result, the electrical parameter and the environmental parameter.
Further, the step of calculating the power generation loss of the photovoltaic module to be tested according to the detection result, the electrical parameter and the environmental parameter includes:
if the detection result shows that the photovoltaic module to be detected has non-mountain shielding, calculating the power generation loss of the photovoltaic module to be detected according to a first preset power generation loss calculation formula, the electrical parameter and the environmental parameter;
and if the detection result shows that the mountain shielding exists in the photovoltaic module to be detected, calculating the generating capacity loss of the photovoltaic module to be detected according to a second preset generating capacity loss calculation formula, the electrical parameter and the environmental parameter.
Further, the step of detecting whether the photovoltaic assembly to be tested is shaded according to the electrical parameter and the environmental parameter includes:
calculating a difference between the electrical parameter and the environmental parameter;
comparing the difference value with a preset difference value threshold value to obtain a first comparison result;
and determining whether shadow shielding exists in the photovoltaic module to be tested according to the first comparison result.
Further, the step of determining the shielding type of the photovoltaic component to be detected according to the electrical parameter and the environmental parameter to obtain a detection result includes:
respectively calculating a first bias coefficient of the electrical parameter and a second bias coefficient of the environmental parameter;
and determining the shielding type of the photovoltaic module to be detected according to the first deviation coefficient and the second deviation coefficient, and obtaining a detection result according to the shielding type of the photovoltaic module to be detected.
Further, the step of determining the shielding type of the photovoltaic module to be tested according to the first deviation coefficient and the second deviation coefficient includes:
determining a threshold range of the bias coefficient according to the second bias coefficient;
comparing the first bias coefficient with the bias coefficient threshold range to obtain a second comparison result;
and determining the shielding type of the photovoltaic module to be tested according to the second comparison result.
Further, after the step of obtaining the electrical parameter of the photovoltaic module to be tested and the environmental parameter thereof, the processor 1001 may be configured to call a detection program of the power generation amount loss stored in the memory 1005, and perform the following operations:
Detecting whether alarm information based on the electrical parameter and the environmental parameter exists;
if the alarm information exists, executing the steps of: and acquiring the electrical parameters and the environmental parameters of the photovoltaic module to be tested until no alarm information based on the electrical parameters and the environmental parameters exists.
Further, after the step of obtaining the electrical parameter of the photovoltaic module to be tested and the environmental parameter thereof, the processor 1001 may be configured to call a detection program of the power generation amount loss stored in the memory 1005, and perform the following operations:
and carrying out data preprocessing on the electrical parameters and the environmental parameters to obtain preprocessed electrical parameters and preprocessed environmental parameters, wherein the data preprocessing comprises data screening and data normalization.
In order that the above-described aspects may be better understood, exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
In order to better understand the above technical solutions, the following detailed description will refer to the accompanying drawings and specific embodiments.
Referring to fig. 2, a first embodiment of the present application provides a flowchart of a method of detecting a loss of power generation amount. In this embodiment, the method of detecting the power generation amount loss includes the steps of:
step S10, acquiring electrical parameters and environmental parameters of a photovoltaic module to be tested, and detecting whether shadow shielding exists in the photovoltaic module to be tested according to the electrical parameters and the environmental parameters;
the method for detecting the generated energy loss in the embodiment is applied to a generated energy loss detection system, and particularly can be applied to a power station provided with an irradiation instrument, namely the irradiation instrument can be arranged in the generated energy loss detection system, the irradiation instrument is an atmosphere detection instrument used in the field of biology, and irradiation data of the environment where the photovoltaic module is located can be obtained. The method for detecting the generating capacity loss is executed through the system for detecting the generating capacity loss, so that whether the to-be-detected photovoltaic module is shaded or not and the detection result of the shading type when the shade is shaded can be accurately detected, the generating capacity loss of the to-be-detected photovoltaic module is further calculated according to the detection result, the electrical parameter and the environmental parameter, operation and maintenance of the to-be-detected photovoltaic module by operation and maintenance personnel according to the detection result and the generating capacity loss are facilitated, and operation and maintenance efficiency of the photovoltaic module is improved.
Specifically, when the detection requirement for the power generation amount loss of a certain photovoltaic module to be detected is met, the electrical parameters of each photovoltaic module or photovoltaic group string in the photovoltaic module to be detected and the environmental parameters of the position of each photovoltaic module are accessed. Whether shadow shielding exists in the photovoltaic module to be tested is accurately detected according to the accessed electrical parameters and the environmental parameters, and the power generation amount lost by the photovoltaic module to be tested is calculated when the shadow shielding exists. The operation and maintenance personnel can conveniently operate and maintain the photovoltaic module to be tested according to the detection result and the generated energy loss, and the operation and maintenance efficiency of the photovoltaic module is improved.
It can be appreciated that, after the step of obtaining the electrical parameter of the photovoltaic module to be tested and the environmental parameter thereof, the method further includes:
m1, detecting whether alarm information based on the electrical parameter and the environmental parameter exists or not;
step M2, if the alarm information exists, executing the steps of: and acquiring the electrical parameters and the environmental parameters of the photovoltaic module to be tested until no alarm information based on the electrical parameters and the environmental parameters exists.
It can be understood that after the electrical parameters of each photovoltaic module or the photovoltaic group string in the photovoltaic module to be tested and the environmental parameters of the position where each photovoltaic module is located are accessed, it is also required to detect whether the device accessing the data has alarm information after accessing the electrical parameters and the environmental parameters thereof. If the equipment accessed with the data has no alarm information after being accessed with the electrical parameters and the environmental parameters, the accessed data can be used for accurately judging whether the photovoltaic module to be tested is shaded or not, and the accessed data can be subjected to subsequent related processing. Conversely, if the device accessing the data has alarm information after accessing the electrical parameter and the environmental parameter thereof, the accessed data is indicated to be incapable of being used for accurately judging whether the to-be-tested photovoltaic module is shadowed, the electrical parameter of each photovoltaic module or the photovoltaic group string in the to-be-tested photovoltaic module and the environmental parameter of the position where each photovoltaic module is located need to be accessed again, whether the device accessing the data has alarm information after accessing the electrical parameter and the environmental parameter thereof is detected, until the device accessing the data has no alarm information after accessing the electrical parameter and the environmental parameter thereof, and the accessed data can be subjected to subsequent related processing. By detecting whether the equipment accessing the data has alarm information after accessing the electrical parameters and the environment parameters thereof, the validity of the accessed data can be ensured.
In step S10, when it is detected that the device accessing the data has no alarm information after accessing the electrical parameter and the environmental parameter thereof, the data preprocessing is performed on the accessed data, including data screening, data normalization, and the like. The electrical parameter in this embodiment is power data of the photovoltaic module, specifically may be instantaneous dc power, unit: w is a metal; the environmental parameter is irradiation data in this embodiment, specifically may be instantaneous irradiation data, in units of: w/m 2 Wherein the irradiance data may be acquired by a irradiance meter. Respectively determining each photovoltaic module as a photovoltaic module to be tested, and carrying out data preprocessing on the electrical parameters and the environmental parameters of each photovoltaic module to be tested to obtain preprocessed electrical parameters and preprocessed environmental parameters, wherein the data is preprocessedThe processing may include data screening and data normalization in this embodiment. After acquiring the electrical parameters and the environmental parameters of the photovoltaic module to be tested and preprocessing the data of the electrical parameters and the environmental parameters, dividing the daily time into a plurality of time periods, and specifically can be divided into: [8:00-9:00),[9:00-10:00), [10:00-11:00),[11:00-12:00),[12:00-13:00),[13:00-14:00),[14:00-15:00), [15:00-16:00),[16:00-17:00). Further, for the electrical parameter and the environmental parameter of each time period, determining a difference value between the electrical parameter and the environmental parameter, and determining whether the photovoltaic module to be tested has shadows according to a comparison result of the difference value between the electrical parameter and the environmental parameter and a preset difference value threshold. The method is convenient for ending the detection flow of the power generation amount loss of the photovoltaic module to be detected when the fact that the shadow shielding exists in the photovoltaic module to be detected is determined to be absent. And when the shadow shielding exists in the photovoltaic module to be detected, respectively calculating a first deviation coefficient of the electrical parameter and a second deviation coefficient of the environmental parameter, determining the shielding type of the photovoltaic module to be detected according to the first deviation coefficient and the second deviation coefficient, and obtaining a detection result of mountain shielding or non-mountain shielding of the photovoltaic module to be detected according to the shielding type. The generating capacity loss of the photovoltaic module to be detected is further calculated according to the detection result, the electrical parameter and the environmental parameter, so that operation and maintenance personnel can conveniently operate and maintain the photovoltaic module to be detected according to the detection result and the generating capacity loss, and the operation and maintenance efficiency of the photovoltaic module is improved.
Step S20, if the photovoltaic module to be detected is shaded, determining the shading type of the photovoltaic module to be detected according to the electrical parameter and the environmental parameter, and obtaining a detection result;
after detecting whether shadow shielding exists in the to-be-detected photovoltaic module according to the electrical parameters and the environmental parameters, if the shadow shielding exists in the to-be-detected photovoltaic module through comparison, respectively calculating a first deviation coefficient of the electrical parameters and a second deviation coefficient of the environmental parameters, determining the shielding type of the to-be-detected photovoltaic module according to the first deviation coefficient and the second deviation coefficient, and obtaining a detection result of mountain shielding or non-mountain shielding of the to-be-detected photovoltaic module according to the shielding type. The generating capacity loss of the photovoltaic module to be tested is further calculated according to the detection result, the electrical parameter and the environmental parameter, so that operation and maintenance personnel can conveniently operate and maintain the photovoltaic module to be tested according to the detection result and the generating capacity loss, and the operation and maintenance efficiency of the photovoltaic module is improved.
And if the fact that the shadow shielding exists in the photovoltaic module to be tested is determined, ending the detection flow of the power generation loss of the photovoltaic module to be tested.
And step S30, calculating the power generation loss of the photovoltaic module to be tested according to the detection result, the electrical parameter and the environmental parameter.
After shadow shielding detection is carried out on the photovoltaic module to be detected according to the electrical parameters and the environmental parameters, and a detection result of mountain shielding or non-mountain shielding of the photovoltaic module to be detected is obtained, if the detection result is that the photovoltaic module to be detected has non-mountain shielding, the generating capacity loss of the photovoltaic module to be detected is calculated according to a first preset generating capacity loss calculation formula, the electrical parameters and the environmental parameters. The first preset power generation amount loss calculation formula is shown as the following formula:
Power loss ＝∫[(d t -d0)×G t ′×P 2 max ]dt
wherein Power is a Power loss D is the loss of power generation t For the difference between the electrical parameter and the environmental parameter at time t, G t ' is the environment parameter normalized at the time t, d0 is a preset difference threshold value, P max For the daily maximum value of the electrical parameter, d0 is a preset difference threshold, an initial threshold of the preset difference threshold can be obtained from historical data of the power station, if the power station has no historical data, the irradiation curve can be searched for a smooth curve day, the maximum value of the difference between normalized irradiation data and power data of the non-shielding group string is used as the substitute of the initial threshold, and the self-updating threshold is carried out after accumulating data for a period of time.
And if the detection result shows that the mountain shielding exists in the photovoltaic module to be detected, calculating the power generation loss of the photovoltaic module to be detected according to a second preset power generation loss calculation formula, the electrical parameters and the environmental parameters. The second preset power generation amount loss calculation formula is shown as the following formula:
Power loss ＝∫[(d t2 -d0)×G t2 ′×P 2 max ]dt2-∫[(d t1 -d0)×G t1 ′×P 2 max ]dt1
Wherein Power is a Power loss G is the loss of power generation t1 ' is the normalized environmental parameter at time t1, G t2 ' is the environment parameter normalized at the time t2, d0 is the preset difference threshold value, P max Is the daily maximum value of the electrical parameter, t 1 Representing the intersection point of normalized irradiation data and power data, t 2 ＝t-t 1 The method can be calculated by the following formula:
it can be appreciated that the embodiment utilizes the data source which is directly collected by the power station and is easy to obtain, does not need to introduce external equipment or manpower input, and has better economical efficiency and simple and convenient treatment. Moreover, the present embodiment evaluates the loss of the power generation amount caused by shadow masking. According to the embodiment, specific physical meanings of the irradiation data and the power data are not considered, the normalized irradiation curve is used as a current day standard power curve, whether shadow shielding exists or not is effectively judged by utilizing the difference performance of direct current power in the shielding and non-shielding photovoltaic module, the shielding type is specifically classified, and the power data and the power generation loss are evaluated based on the classification result. Firstly, solving the problem of difficult searching of standard power curve; secondly, the problem of misjudgment caused by power curve change due to cloud layers is solved; thirdly, the result of the current day can be used as a new training sample to be added into a historical data set to update a relevant threshold value, so that the accuracy and the effectiveness are improved; fourthly, the mountain shielding condition of the mountain power station is considered, and the application range of the scheme is enlarged; fifthly, classifying different shielding types, so that the operation and maintenance efficiency is improved; sixth, based on the classification result, the power data and the power generation loss are evaluated, and the operation and maintenance personnel can perform related processing operation according to the evaluation result.
The embodiment of the application provides a method, a device, equipment and a computer storage medium for detecting generating capacity loss, which are used for acquiring electrical parameters and environmental parameters of a photovoltaic module to be detected and detecting whether shadow shielding exists in the photovoltaic module to be detected according to the electrical parameters and the environmental parameters; if the to-be-detected photovoltaic component is shaded, determining the shading type of the to-be-detected photovoltaic component according to the electrical parameter and the environmental parameter, and obtaining a detection result; and calculating the power generation loss of the photovoltaic module to be tested according to the detection result, the electrical parameter and the environmental parameter. According to the shadow shielding detection method and device, shadow shielding detection can be carried out on the to-be-detected photovoltaic module through the electrical parameters and the environment parameters of the to-be-detected photovoltaic module, whether the to-be-detected photovoltaic module is shielded by the shadow or not can be accurately detected, the shielding type is determined when the to-be-detected photovoltaic module is shielded by the shadow, the detection result is obtained, the generating capacity loss of the to-be-detected photovoltaic module is further calculated according to the detection result, the electrical parameters and the environment parameters, operation and maintenance personnel can conveniently operate and maintain the to-be-detected photovoltaic module according to the detection result and the generating capacity loss, and the operation and maintenance efficiency of the photovoltaic module is improved.
Further, referring to fig. 3 and 4, a second embodiment of the method for detecting a power generation loss according to the present application is proposed based on a first embodiment of the method for detecting a power generation loss according to the present application, in which the step of calculating the power generation loss of the photovoltaic module to be measured according to the detection result, the electrical parameter, and the environmental parameter includes:
step A, if the detection result shows that the photovoltaic module to be detected has non-mountain shielding, calculating the power generation loss of the photovoltaic module to be detected according to a first preset power generation loss calculation formula, the electrical parameters and the environmental parameters;
it can be understood that if the detection result is that the photovoltaic module to be detected has non-mountain shielding, it is assumed that no shielding exists at the position with the maximum power on the same day, and the normalized irradiation curve is used as the standard power curve, so that the standard power curve on the same day can be reversely deduced from the maximum values of the normalized irradiation data and the power data. Taking the absolute value of the difference between the standard power curve and the current day power curve at each time point (removing random disturbance caused by cloud layer and the like) as the calculation of the power loss, namely obtaining the following power loss calculation formula:
Wherein i is the number of times when shadow shielding occurs, and P lossi For the power loss caused by shielding at the ith moment of the day, d i For the difference between the electrical parameter and the environmental parameter at the moment i, G i ' is the environment parameter normalized at the moment i, d0 is a preset difference threshold value, P max D0 is a preset difference threshold value for the daily maximum value of the electrical parameter.
Specifically, the standard power curve of the current day is reversely deduced from the normalized irradiation data and the current day power data, namely by using the following formula:
P S ＝G′×Pmax
ds＝|P S -P|
ds＝|Ps-P|
wherein P is S For standard power, ds is the absolute value of the difference between the estimated standard power and the instantaneous power data.
The absolute value of the difference between the standard power and the current day power obtained by the formula can reflect the power loss of each shielding time period, namely (d) s -d s 0)×P s Wherein d is s 0 is derived from a preset difference threshold d0, i.e. d s 0＝d 0 ×P max . The following power loss calculation formula is obtained:
wherein P is si For the standard power value at the ith occlusion time, the definition of other parameters refers to the other formulas described above.
Further performing integral operation on the power loss calculation formula to obtain a calculation formula of the daily power generation quantity loss shown in the following formula, namely a first preset power generation quantity loss calculation formula:
therefore, the daily maximum value and the preset difference threshold value of the electrical parameter are obtained, the electric parameter and the environmental parameter are input into the first preset power generation amount loss calculation formula, the power generation amount loss of the photovoltaic module to be tested is calculated through the first preset power generation amount loss calculation formula and the input parameters such as the daily maximum value, the preset difference threshold value, the electrical parameter and the environmental parameter of the electrical parameter, so that operation and maintenance personnel can conveniently operate and maintain the photovoltaic module to be tested according to the detection result and the power generation amount loss, and the operation and maintenance efficiency of the photovoltaic module is improved.
And step B, if the detection result shows that the mountain shielding exists in the photovoltaic module to be detected, calculating the power generation loss of the photovoltaic module to be detected according to a second preset power generation loss calculation formula, the electrical parameter and the environmental parameter.
It can be understood that if the detection result is that the photovoltaic module to be detected has mountain shielding, the mountain shielding is more complex than other shielding conditions, but the power loss calculation formula of the mountain shielding shown in the following formula is determined by referring to the calculation route of the power generation loss of the non-mountain shielding:
and further calculating a daily loss calculation formula of the generated electricity according to a mountain shielding power loss calculation formula, namely obtaining a second preset generated electricity loss calculation formula shown as follows:
wherein Power is a Power loss G is the loss of power generation t1 ' is the normalized environmental parameter at time t1, G t2 ' is the environment parameter normalized at the time t2, d0 is the preset differenceValue threshold, P max Is the daily maximum value of the electrical parameter, t 1 Representing the intersection point of normalized irradiation data and power data, t 2 ＝t-t 1 。
Therefore, the daily maximum value and the preset difference threshold value of the electrical parameter are obtained, the electric parameter and the environmental parameter are input into the second preset power generation amount loss calculation formula, the power generation amount loss of the photovoltaic module to be tested is calculated through the second preset power generation amount loss calculation formula and the input parameters such as the daily maximum value, the preset difference threshold value, the electrical parameter and the environmental parameter of the electrical parameter, so that operation and maintenance personnel can conveniently operate and maintain the photovoltaic module to be tested according to the detection result and the power generation amount loss, and the operation and maintenance efficiency of the photovoltaic module is improved.
According to the embodiment, the generating capacity loss caused by shadow shielding is accurately calculated according to the type of the shadow shielding, and on one hand, operation and maintenance personnel can carry out technical improvement or other processing methods according to the result; on the other hand, the generated energy loss value caused by shielding is obtained, and a foundation can be laid for other requirements, such as adjusting the optical power prediction by utilizing the generated energy loss caused by shielding, and the operation and maintenance efficiency of the photovoltaic module is improved.
Further, referring to fig. 5, a third embodiment of the method for detecting a power generation amount loss according to the present application is provided based on the first embodiment of the method for detecting a power generation amount loss according to the present application, in which the step of detecting whether there is shadow shielding of the photovoltaic module to be tested according to the electrical parameter and the environmental parameter includes:
step S11, calculating a difference value between the electrical parameter and the environmental parameter;
step S12, comparing the difference value with a preset difference value threshold value to obtain a first comparison result;
and step S13, determining whether shadow shielding exists in the photovoltaic module to be tested according to the first comparison result.
After the electrical parameter and the environmental parameter of the photovoltaic module to be tested are obtained and the electrical parameter and the environmental parameter are subjected to data preprocessing, the electrical parameter (namely the power data in the embodiment) and the environmental parameter (namely the irradiation data in the embodiment) are subjected to difference operation, and the absolute value of the result of the difference operation is taken as the difference between the electrical parameter and the environmental parameter. Further, comparing the calculated difference value with a preset difference value threshold value, and determining the magnitude relation between the difference value and the preset difference value threshold value to obtain a first comparison result that the difference value is smaller than or equal to the preset difference value threshold value or larger than the preset difference value threshold value. If the first comparison result is that the difference value is larger than the preset difference value threshold value, judging whether the number of difference values larger than the preset difference value threshold value in each time point of the time period is larger than the preset number or not again, and if the number of difference values larger than the preset difference value threshold value is larger than the preset number, determining that shadow shielding exists in the time period of the photovoltaic module to be tested. Otherwise, judging that the photovoltaic module to be tested is not shielded in the time period. Therefore, whether shadow shielding exists in the photovoltaic module to be tested or not is accurately determined according to the electrical parameters and the environmental parameters. For example: if the current time period is [8:00-9:00 ], if differences between electrical parameters and environmental parameters corresponding to time points of 8:05, 8:10, 8:15, 8:20, 8:25, 8:30, 8:35, 8:40, 8:45, 8:50, 8:55, 8:57 and the like are all greater than a preset difference threshold, determining that shadow shielding exists in the photovoltaic module to be tested at [ 8:00-9:00).
It will be appreciated that before comparing the difference between the electrical parameter and the environmental parameter with the preset difference threshold, it is necessary to determine whether the initial threshold, which is the preset difference threshold, is reasonable, specifically, according to the accuracy of the threshold determination result. If the initial threshold is applicable to a certain power station, the shadow shielding condition of the photovoltaic component (or string) in each time period can be judged according to the initial threshold without changing the initial threshold in the algorithm of the power station, and if the selection of the initial threshold is unreasonable, a self-updating mechanism is executed. Specifically, if the operation and maintenance personnel determine the group strings with and without the shielding, the group strings with and without the shielding are respectively added into the two data sets S1 and S2 as new training samples; respectively normalizing the power data and the irradiation data according to the daily data by the data sets S1 and S2, and calculating the absolute value of the difference value of the normalized irradiation data and the normalized power data; calculating the minimum value MIN-S1 of the absolute value of the difference value in the data set S1 and the maximum value MAX-S2 of the absolute value of the difference value in the data set S1 obtained by the steps, selecting a new initial threshold value, namely a preset difference threshold value, from the MIN-S1 and the MAX-S2 according to a specific scene self-adaptive selection rule, and selecting the maximum value of the MIN-S1 and the MAX-S2 as the new initial threshold value or selecting the minimum value of the MIN-S1 and the MAX-S2 as the new initial threshold value; updating an initial threshold according to MIN-S1 and MAX-S2 obtained in the steps; repeating the steps of the self-updating mechanism, and iteratively updating the initial threshold value.
If the shielding condition of the strings is not determined manually, determining a shielded data set S1 according to a multi-string comparison method (according to the difference of the generating efficiency of the shielding strings and the non-shielding strings and the difference of the direct current power discrete rate at the shielding and non-shielding moments so as to accurately diagnose the shadow shielding); normalizing the daily data, the normalized power data and the irradiation data of the data set S1, and calculating the absolute value of the difference value of the normalized irradiation data and the normalized power data; calculating the minimum value MIN-S1 of the absolute value of the difference value in the data set S1 obtained in the step; and updating the threshold value according to the MIN-S1 obtained in the steps. Repeating the steps of the self-updating mechanism, and iteratively updating the initial threshold. The reason that only the data set which is used for determining shielding by comparing multiple strings and S1 is selected is as follows: when the researched multi-string group strings (namely, the photovoltaic modules) are all shielded in the same time period, a non-shielding misjudgment result is given, if the multi-string group strings are used as non-shielding group strings and are used as training samples to be added into the data set S2, an initial threshold updating error is caused, and the accuracy is seriously reduced.
In the embodiment, the normalized irradiation curve is used as a standard curve, and the differences of the power curves of the shielding group strings and the non-shielding group strings relative to the standard curve and the differences of the direct current power discrete rates at the shielding and non-shielding moments are summarized and judged to determine an initial threshold value so as to accurately diagnose whether shadow shielding exists.
Further, referring to fig. 6, a fourth embodiment of the method for detecting a power generation loss according to the present application is provided based on the first embodiment of the method for detecting a power generation loss according to the present application, in the fourth embodiment, the step of determining the shielding type of the photovoltaic module to be tested according to the electrical parameter and the environmental parameter, and obtaining the detection result includes:
step S21, respectively calculating a first deviation coefficient of the electrical parameter and a second deviation coefficient of the environmental parameter;
and S22, determining the shielding type of the photovoltaic module to be detected according to the first deviation coefficient and the second deviation coefficient, and obtaining a detection result according to the shielding type of the photovoltaic module to be detected.
After determining that the shadow shielding exists in the photovoltaic module to be tested, calculating the deviation coefficient of the power data and the irradiation data corresponding to the photovoltaic module to be tested, and in order to eliminate the influence of units, carrying out normalization processing on the power data and the irradiation data, and then calculating the corresponding deviation coefficient. Specifically, the first bias coefficient of the electrical parameter is calculated by the following first bias coefficient calculation formula:
wherein K is p The method comprises the steps that the electrical parameters after normalization of the photovoltaic module to be tested, namely, the deviation coefficient of power data, namely, a first deviation coefficient; The normalized electrical parameters are the average value of the power data; m is the number of data points from non-zero data to non-data in the beginning day; σP is the standard deviation of the daily normalized power data, and is specifically expressed by the following formula:
where P' is the value after normalization of the power data,and the average value of the normalized power data.
Further, a second bias coefficient of the environmental parameter is calculated by the following second bias coefficient calculation formula:
wherein K is G The method comprises the steps of normalizing the irradiation data of the photovoltaic module to be measured, namely, a second deviation coefficient; g' is the mean value of the normalized irradiation data; n is the number of data points from non-zero data to no data in the beginning day of irradiation data; sigma (sigma) G The standard deviation of the irradiation data after daily normalization is shown in the following formula:
wherein, the liquid crystal display device comprises a liquid crystal display device,for the mean of the normalized irradiance data, G' is the value after normalization of the irradiance data.
After the first deviation coefficient of the electrical parameter and the second deviation coefficient of the environmental parameter are calculated, determining a deviation coefficient threshold range according to the second deviation coefficient, determining the shielding type of the photovoltaic module to be detected according to the comparison between the first deviation coefficient and the deviation coefficient threshold range, and finally obtaining a detection result according to the shielding type of the photovoltaic module to be detected, wherein the detection result is that the photovoltaic module to be detected is blocked by a mountain if the shielding type of the photovoltaic module to be detected is blocked by the mountain, and the detection result is that the photovoltaic module to be detected is blocked by the mountain if the shielding type of the photovoltaic module to be detected is blocked by the mountain.
Further, the step of determining the shielding type of the photovoltaic module to be tested according to the first deviation coefficient and the second deviation coefficient includes:
step S221, determining a threshold range of the bias coefficient according to the second bias coefficient;
step S222, comparing the first bias coefficient with the threshold range of the bias coefficient to obtain a second comparison result;
and step S223, determining the shielding type of the photovoltaic module to be tested according to the second comparison result.
After the first bias coefficient of the electrical parameter and the second bias coefficient of the environmental parameter are calculated, a preset judging range is obtained, the preset judging range can be set according to actual requirements, such as +/-0.2, +/-0.3, +/-0.4 and the like, the second bias coefficient is combined with the preset judging range to obtain a bias coefficient threshold range, the first bias coefficient is compared with the bias coefficient threshold range, and the magnitude relation between the first bias coefficient and the bias coefficient threshold range is determined to obtain a second comparison result. For example, the second bias factor is-0.6431, and the preset determination range is + -0.2, the threshold range of the bias factor is [ -0.8431, -0.4431]. If the first deviation coefficient is-0.3854, the first deviation coefficient is not in the deviation coefficient threshold range, then the deviation state of the photovoltaic module to be detected is judged to be right deviation, (right deviation is the right deviation in the deviation coefficient threshold range, and left deviation is the left deviation in the deviation coefficient threshold range), and the shielding type of the photovoltaic module to be detected can be further determined to be mountain shielding. If the first deviation coefficient is within the deviation coefficient threshold range, judging that the deviation condition of the photovoltaic module to be tested does not exist, and determining that the shielding type of the photovoltaic module to be tested is non-mountain shielding.
According to the embodiment, whether shadow shielding exists in the photovoltaic module to be tested or not can be detected according to the electrical parameters and the environmental parameters; and when the shade shielding exists in the photovoltaic module to be detected, accurately determining the shielding type of the photovoltaic module to be detected according to the electrical parameter and the environmental parameter, and obtaining a detection result. The generating capacity loss of the photovoltaic module to be detected is further calculated according to the detection result, the electrical parameter and the environmental parameter, so that operation and maintenance personnel can conveniently operate and maintain the photovoltaic module to be detected according to the detection result and the generating capacity loss, and the operation and maintenance efficiency of the photovoltaic module is improved.
Further, referring to fig. 7, a fifth embodiment of the method for detecting a power generation amount loss according to the present application is provided based on the first embodiment of the method for detecting a power generation amount loss according to the present application, and in the fifth embodiment, after the step of obtaining the electrical parameter of the photovoltaic module to be tested and the environmental parameter thereof, the method further includes:
and C, carrying out data preprocessing on the electrical parameters and the environmental parameters to obtain preprocessed electrical parameters and preprocessed environmental parameters, wherein the data preprocessing comprises data screening and data normalization.
After the electrical parameters and the environmental parameters of the photovoltaic module to be tested are obtained, data screening is carried out on the electrical parameters and the environmental parameters, wherein the data screening conditions comprise: the average irradiation of the removal day is more than or equal to 500W/m 2 The data of (power-down irradiation at lower irradiation is not obvious, the calculated time period of the daily irradiation is time period: [8:00, 17:00)); eliminating data with power less than or equal to rated power of the inverter; removing data with power equal to 0W; the full load power limit data rate of the rejecting device (the power maintains unchanged rated power); culling outliers (including outlier high points and outlier low points, outlier null values and zero values); the following steps are to realize the elimination of the cloud layer and the full load of the equipment, focus on how to decouple and effectively judge whether the group string has fixed shadow shielding.
Further, after finishing the data screening of the electrical parameter and the environmental parameter, carrying out normalization processing on the electrical parameter and the environmental parameter, specifically carrying out normalization processing on the power data and the irradiation data, wherein the normalization processing has the following formula:
wherein G 'and P' are values after normalization of the irradiation data and the power data, respectively, G max 、P max The daily maximum values of the irradiation data and the power data are respectively, and G, P is the accessed instantaneous irradiation data and instantaneous power data respectively.
In the embodiment, the change trend of the original data is not changed in the normalization processing, and the normalization processing is performed on the irradiation data and the power data to eliminate the influence of units, so that the irradiation data and the power data are compared on the same level, the irradiation data and the power data are easier to compare, and the applicability of a scheme can be improved. And the shadow shielding condition can be accurately judged by considering that the standard of the non-shielding power change curve (replaced by the normalized irradiation curve) is available under different weather conditions (irradiation is more than 500W/m < 2 >) except for a sunny day. After the equipment fault factors are eliminated, the interference of other fault factors on shadow shielding judgment is eliminated by means of the inverter alarm information, so that the factors of normal power reduction or unchanged maintenance can be concentrated on shadow shielding, mobile cloud layer interference and equipment full load limit power. The power limiting factors are eliminated in the data screening process, the irradiation data are changed while the interference power of the mobile cloud layer is changed, and the difference value between the normalized power data and the irradiation data is not influenced under the general condition. It is reasonable to determine whether shadow occlusion exists based on the difference size.
Further, the application also provides a device for detecting the power generation loss.
Referring to fig. 8, fig. 8 is a functional block diagram showing a first embodiment of a power generation amount loss detection device of the present application.
The power generation amount loss detection device includes:
the detection module 10 is used for acquiring electrical parameters and environmental parameters of the photovoltaic module to be detected, and detecting whether shadow shielding exists in the photovoltaic module to be detected according to the electrical parameters and the environmental parameters;
the determining module 20 is configured to determine a shielding type of the to-be-detected photovoltaic module according to the electrical parameter and the environmental parameter if the to-be-detected photovoltaic module has shadow shielding, so as to obtain a detection result;
and the calculating module 30 is configured to calculate a power generation loss of the photovoltaic module to be tested according to the detection result, the electrical parameter and the environmental parameter.
In addition, the application also provides a computer storage medium, on which a power generation amount loss detection program is stored, which when executed by a processor, implements the steps of each embodiment of the power generation amount loss detection method.
Furthermore, the application provides a computer program product comprising a computer program which, when executed by a processor, implements the steps of the embodiments of the method for detecting a loss of power generation.
In the embodiments of the apparatus for detecting a loss of power generation amount, the computer-readable storage medium, and the computer program product of the present application, all the technical features of each embodiment of the method for detecting a loss of power generation amount are included, and description and explanation contents are substantially the same as those of each embodiment of the method for detecting a loss of power generation amount, which are not described herein.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises the element.
The foregoing embodiment numbers of the present application are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments.
From the above description of embodiments, it will be clear to a person skilled in the art that the above embodiment method may be implemented by means of software plus a necessary general hardware platform, but may of course also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present application may be embodied essentially or partly in the form of a software product stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk), comprising instructions for causing a terminal device (which may be a fixed terminal, such as an intelligent device for internet of things, including intelligent home such as intelligent air conditioner, intelligent lamp, intelligent power supply, intelligent router, etc., or a mobile terminal, including a smart phone, a wearable networked AR/VR device, an intelligent sound box, an automatic car, etc.), to perform the method according to the embodiments of the present application.
The foregoing description is only of the preferred embodiments of the present application, and is not intended to limit the scope of the application, but rather is intended to cover any equivalents of the structures disclosed herein or equivalent processes shown in the accompanying drawings, or any application, directly or indirectly, in other related arts.
Claims (9)
1. A method of detecting a loss of power generation amount, characterized by comprising:
acquiring electrical parameters and environmental parameters of a photovoltaic module to be tested, and detecting whether shadow shielding exists in the photovoltaic module to be tested according to the electrical parameters and the environmental parameters;
if the to-be-detected photovoltaic module is shaded, determining the shading type of the to-be-detected photovoltaic module according to the electrical parameter and the environmental parameter, and obtaining a detection result;
calculating the power generation loss of the photovoltaic module to be tested according to the detection result, the electrical parameter and the environmental parameter;
the step of determining the shielding type of the photovoltaic module to be detected according to the electrical parameter and the environmental parameter to obtain a detection result comprises the following steps:
respectively calculating a first bias coefficient of the electrical parameter and a second bias coefficient of the environmental parameter;
And determining the shielding type of the photovoltaic module to be detected according to the first deviation coefficient and the second deviation coefficient, and obtaining a detection result according to the shielding type of the photovoltaic module to be detected.
2. The method for detecting a power generation amount loss according to claim 1, wherein the step of calculating the power generation amount loss of the photovoltaic module to be measured based on the detection result, the electrical parameter, and the environmental parameter includes:
if the detection result shows that the photovoltaic module to be detected has non-mountain shielding, calculating the power generation loss of the photovoltaic module to be detected according to a first preset power generation loss calculation formula, the electrical parameter and the environmental parameter;
and if the detection result shows that the mountain shielding exists in the photovoltaic module to be detected, calculating the power generation loss of the photovoltaic module to be detected according to a second preset power generation loss calculation formula, the electrical parameter and the environmental parameter.
3. The method for detecting a loss of power generation according to claim 1, wherein the step of detecting whether shadow shielding exists in the photovoltaic module to be tested according to the electrical parameter and the environmental parameter includes:
calculating a difference between the electrical parameter and the environmental parameter;
Comparing the difference value with a preset difference value threshold value to obtain a first comparison result;
and determining whether shadow shielding exists in the photovoltaic module to be tested according to the first comparison result.
4. The method for detecting a loss of power generation capacity according to claim 1, wherein the step of determining the shielding type of the photovoltaic module to be tested according to the first bias coefficient and the second bias coefficient includes:
determining a threshold range of the bias coefficient according to the second bias coefficient;
comparing the first bias coefficient with the bias coefficient threshold range to obtain a second comparison result;
and determining the shielding type of the photovoltaic module to be tested according to the second comparison result.
5. The method for detecting a loss of power generation according to claim 1, further comprising, after the step of obtaining the electrical parameter of the photovoltaic module to be detected and the environmental parameter thereof:
detecting whether alarm information based on the electrical parameter and the environmental parameter exists;
if the alarm information exists, executing the steps of: and acquiring the electrical parameters and the environmental parameters of the photovoltaic module to be tested until no alarm information based on the electrical parameters and the environmental parameters exists.
6. The method for detecting a loss of power generation according to claim 1, further comprising, after the step of obtaining the electrical parameter of the photovoltaic module to be detected and the environmental parameter thereof:
and carrying out data preprocessing on the electrical parameters and the environmental parameters to obtain preprocessed electrical parameters and preprocessed environmental parameters, wherein the data preprocessing comprises data screening and data normalization.
7. A power generation amount loss detection device, characterized in that the power generation amount loss detection device includes:
the detection module is used for acquiring the electrical parameters and the environmental parameters of the photovoltaic module to be detected, and detecting whether shadow shielding exists in the photovoltaic module to be detected according to the electrical parameters and the environmental parameters;
the determining module is used for determining the shielding type of the photovoltaic module to be detected according to the electrical parameter and the environmental parameter if the photovoltaic module to be detected is shaded, so as to obtain a detection result;
the calculation module is used for calculating the generating capacity loss of the photovoltaic module to be tested according to the detection result, the electrical parameter and the environmental parameter;
the determining module is further used for respectively calculating a first deviation coefficient of the electrical parameter and a second deviation coefficient of the environmental parameter;
And determining the shielding type of the photovoltaic module to be detected according to the first deviation coefficient and the second deviation coefficient, and obtaining a detection result according to the shielding type of the photovoltaic module to be detected.
8. A power generation amount loss detection apparatus characterized in that the power generation amount loss detection apparatus includes a memory, a processor, and a power generation amount loss detection program stored on the memory and operable on the processor, which when executed by the processor, implements the steps of the power generation amount loss detection method according to any one of claims 1 to 6.
9. A computer storage medium, wherein a power generation amount loss detection program is stored on the computer storage medium, and the power generation amount loss detection program, when executed by a processor, realizes the steps of the power generation amount loss detection method according to any one of claims 1 to 6.
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