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Photovoltaic power station state prediction and fault diagnosis method and system

A technology for fault diagnosis and photovoltaic power plants, applied in the monitoring of photovoltaic systems, photovoltaic power generation, photovoltaic modules, etc., can solve the problems of high cost and low efficiency, and achieve the effect of low cost and improved efficiency

Active Publication Date: 2017-11-17
GUANGZHOU JIANXIN TECHNOLOGY CO LTD
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Problems solved by technology

[0009] Based on this, it is necessary to provide a photovoltaic power station state prediction and fault diagnosis method and system for the problems of low efficiency and high cost of fault diagnosis and state evaluation of current photovoltaic power generation systems

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  • Photovoltaic power station state prediction and fault diagnosis method and system
  • Photovoltaic power station state prediction and fault diagnosis method and system

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Embodiment Construction

[0026] The technical solution of the present invention will be further elaborated below in conjunction with the accompanying drawings.

[0027] figure 1 It is a flow chart of a method for state prediction and fault diagnosis of a photovoltaic power plant according to an embodiment. Such as figure 1 As shown, the photovoltaic power station state prediction and fault diagnosis method of the present invention may include the following steps:

[0028] S1, collecting the maximum power point current of the photovoltaic string and the current weather data;

[0029] S2. Calculate the theoretical power generation voltage and theoretical power generation current of the photovoltaic string according to the current meteorological data and the factory parameters of the photovoltaic string;

[0030] S3, calculating the real-time power generation efficiency of the photovoltaic string according to the theoretical power generation current and the real-time power generation current of the ph...

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Abstract

The invention relates to a method for state prediction and fault diagnosis of a photovoltaic power station. The method comprises the following steps: acquiring a maximum power point current and current meteorological data of a photovoltaic string; calculating a theoretical generating voltage and a theoretical generating current of the photovoltaic string according to the current meteorological data and factory factors of the photovoltaic string; calculating a real-time generating efficiency of the photovoltaic string according to the theoretical generating current and a real-time generating current of the photovoltaic string, and calculating a generating efficiency change rate of the photovoltaic string according to the real-time generating efficiency; and performing state prediction and fault diagnosis on the photovoltaic string according to the generating efficiency change rate and a preset data model. The method and the system improve the efficiency of the state prediction and fault diagnosis of the photovoltaic power station, and moreover, an additional investment is unnecessarily increased, and the cost is low.

Description

technical field [0001] The invention relates to the technical field of photovoltaic power generation, in particular to a method and system for state prediction and fault diagnosis of a photovoltaic power station. Background technique [0002] Photovoltaic power generation is an important way of power generation. The core equipment of a photovoltaic power station is a photovoltaic module. At present, most photovoltaic power stations use polycrystalline silicon battery modules. The annual aging rate of polysilicon photovoltaic modules is 3% in the first year, and 0.7% in the second year, and the service life is 25 years. Generally speaking, the theoretical annualized return on investment of a photovoltaic power station is about 8% to 12%. If the owner of a photovoltaic power station wants to recover all the investment, the power station needs to operate without failure for about 8 to 13 years. However, due to the large number of photovoltaic power generation system equipment...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02S50/00
CPCH02S50/00Y02E10/50
Inventor 刘勇蔡俊谢莫锋魏明智王胜云
Owner GUANGZHOU JIANXIN TECHNOLOGY CO LTD
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