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Photovoltaic array fault diagnosis method and device based on spatiotemporal distribution characteristics

A photovoltaic array and fault diagnosis technology, which is applied in photovoltaic power generation, photovoltaic modules, photovoltaic system monitoring, etc., can solve problems such as difficulties in photovoltaic array fault diagnosis and achieve high diagnostic accuracy

Active Publication Date: 2019-06-04
STATE GRID HENAN ELECTRIC POWER ELECTRIC POWER SCI RES INST +2
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Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a photovoltaic array fault diagnosis method and device based on the spatio-temporal distribution characteristics in order to solve the difficulties in photovoltaic array fault diagnosis in the prior art

Method used

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  • Photovoltaic array fault diagnosis method and device based on spatiotemporal distribution characteristics

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Embodiment

[0083] The photovoltaic array fault diagnosis method of the present invention will be further described below with reference to the accompanying drawings and specific embodiments.

[0084] A photovoltaic array fault diagnosis method considering the spatiotemporal distribution characteristics of photovoltaic output, the flow chart is as follows figure 1 As shown, the specific steps are as follows:

[0085] S1. Collect historical operating data and historical environmental data of photovoltaic power plants.

[0086] The historical operation data includes the historical current data of each string of the photovoltaic power station, and the historical environmental data includes the historical irradiance corresponding to the photovoltaic power station.

[0087] In this example, the data of a photovoltaic power station in Shandong, China in 2017 was selected as an experiment. This power station is composed of a photovoltaic power generation system with a capacity of 40MW, a solar ...

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Abstract

The invention relates to a photovoltaic array fault diagnosis method and device based on spatiotemporal distribution characteristics. A photovoltaic output time component and a spatial component are calculated and obtained by a time and spatial distribution function for the photovoltaic array output starting from the historical operation data and the historical environment data of a photovoltaic power plant, the components are used as a training data set, a probabilistic neural network is trained by the training data set, a photovoltaic array fault diagnosis model is obtained, a time functionand a spatial function for photovoltaic branch output are established to effectively describe the distribution law of string current under different fault conditions, the photovoltaic power station DCside array fault diagnosis method established based on the probabilistic neural network is high in diagnosis precision, and finally, branch current data are inputted to the photovoltaic array fault diagnosis model to realize diagnosis of multiple types of fault, and the existing data of the actual project can be fully utilized effectively.

Description

technical field [0001] The application belongs to the field of fault diagnosis of the DC side of a photovoltaic power station, and in particular relates to a photovoltaic array fault diagnosis method and device based on time-space distribution characteristics. Background technique [0002] In recent years, the cost of photovoltaic cells has been greatly reduced, the photovoltaic industry has developed rapidly, and the installed capacity of photovoltaic power stations has continued to increase. By the end of 2018, the cumulative photovoltaic installed capacity of China's photovoltaic market reached 174.63GW, and about 44.1GW of photovoltaic installed capacity was added in 2018. The large number of DC side components of large-scale photovoltaic power plants, complex structures, and harsh operating environments have caused frequent failures of power plants. If the fault cannot be eliminated in time, the operating efficiency of the power station affected by the fault will be gr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H02S50/10
CPCY02E10/50
Inventor 赵健周宁刘昊孙芊王鹏徐铭铭谢芮芮朱红路
Owner STATE GRID HENAN ELECTRIC POWER ELECTRIC POWER SCI RES INST
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