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

A BP neural network and photovoltaic system technology, applied in the field of overall evaluation of photovoltaic system power generation efficiency, can solve problems such as large error in evaluation results, imperfect evaluation index system, and inability to effectively guide the operation, maintenance and design of power plants, so as to improve power generation. , The effect of improving power generation efficiency and strong application value

Active Publication Date: 2015-03-11
XUJI GRP +1
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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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  • Photovoltaic system generating efficiency comprehensive evaluation method based on BP (back propagation) neural network
  • Photovoltaic system generating efficiency comprehensive evaluation method based on BP (back propagation) neural network
  • Photovoltaic system generating efficiency comprehensive evaluation method based on BP (back propagation) neural network

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Embodiment Construction

[0034] The present invention will be further introduced below in conjunction with the accompanying drawings and specific embodiments.

[0035] Such as figure 1 As shown, the comprehensive evaluation method of photovoltaic system power generation efficiency based on BP neural network of the present invention is mainly selected from the evaluation index set, the evaluation index system is established, the evaluation standard set is constructed, and the BP neural network is used to update the weight of the evaluation index, and the photovoltaic system power generation is established. Efficiency single-item and comprehensive evaluation models generate evaluation results to guide decision-making. The detailed analysis of each step is as follows:

[0036] (1) Select the evaluation index set: use the significance test between the evaluation indexes to divide the influencing factors directly or indirectly related to the power generation efficiency of the photovoltaic system into n cat...

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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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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06G06N3/02
CPCG06N3/08G06Q10/0639G06Q50/06Y02E40/70Y04S10/50
Inventor 王景丹龚晓伟雷振峰孔波刘桂莲董永超王贤立牛高远王以笑王国军霍富强邓健慎周培东赵萌萌张鹏飞
Owner XUJI GRP
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