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光伏系统中基于极限学习机的MPPT控制算法

A MPPT Control Algorithm Based on Extreme Learning Machine in PV System

作者:Jie Wang;Kai Zhang 加工时间:2015-09-02 信息来源:科技报告(Other) 索取原文[6 页]
关键词:光伏;MPPT;极端学习机
摘 要:At present,there are many commonly used maximum power point tracking (MPPT) control methods for solar photovoltaic system which have different degrees of output fluctuations.In order to solve the problem and improve the response speed further,a novel MPPT algorithm based on the extreme learning machine was put forward in this paper.Using the extreme learning machine which has small error,fast speed and simple structure train a mathematical model with the environmental temperature and light intensity as input and the maximum power point as output,the model can be used as the controller of the photovoitaic cells.The simulation results show that the error of the model meets the requirements,when the ambient temperature and light intensity change,it can respond quickly so as to photovoltaic cells work at the maximum power point and operate stably.
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