Photovoltaic system generating efficiency comprehensive evaluation method based on BP (back propagation) neural network

Abstract

The invention discloses a photovoltaic system generating efficiency comprehensive evaluation method based on a BP (back propagation) neural network. Weight assignment on various evaluation indexes is carried out by the BP neural network, influences of human factors on weight can be gradually eliminated in a training process, the weight is corrected, a photovoltaic power generating system is classified, the whole efficiency of the photovoltaic power generating system is evaluated, the running efficiency level of the photovoltaic system and the running efficiency level of key equipment of the photovoltaic system can be judged effectively, key factors which affect the efficiency level of the photovoltaic system and the efficiency level of the key equipment of the photovoltaic system are uncovered, a generating efficiency improvement strategy is discovered, and the generating efficiency of the photovoltaic system and the generating efficiency of the key equipment of the photovoltaic system are improved. By the method, reliable and accurate multi-item efficiency analysis and comprehensive evaluation analysis results are provided for an optional photovoltaic power station, a theoretical basis is provided for an operation and maintenance strategy of the photovoltaic power station, data are provided for design optimization of the photovoltaic power station, the generating efficiency of the photovoltaic power station is improved, the generating capacity is improved, the economic benefit is increased, and the application value is high.

Description

technical field [0001] The technical field of the overall evaluation of photovoltaic system power generation efficiency of the present invention, in particular relates to a method for comprehensive evaluation of photovoltaic system power generation efficiency based on BP neural network. Background technique [0002] my country's solar energy resources are very rich, and its potential for development and utilization is very broad. In recent years, my country's photovoltaic industry has developed rapidly, and large-scale photovoltaic power stations have achieved leapfrog development. The installed capacity has exceeded 2GW. As the subsidy mode of photovoltaic power stations has shifted from power station construction subsidies to electricity generation subsidies, more and more investment owners have begun to pay attention to the operation and management of photovoltaic power stations. For a large number of photovoltaic power stations that have entered the operation stage, it is ...

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Problems solved by technology

[0005] The purpose of the present invention is to provide a comprehensive evaluation method of photovoltaic system power generation efficiency based on BP neural network, so as to solve the existing evaluation results of photovoltaic system power generation efficiency. problems with design

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