A Novel MPPT Method Based on Large Variance GA-RBF

摘要：

　　The photoelectric conversion efficiency of photovoltaic cells is mainly affected by temperature and irradiance,in order to promote the development of photovoltaic power generation,it is necessary to improve the photoelectric conversion efficiency of photovoltaic cells.This paper combines two major factors that affect photovoltaic cells,a maximum power point tracking scheme based on large variation GA-RBF network is proposed.The system used in this scheme is simulated through Matlab 2014a.The simulation results show that the new maximum power point tracking scheme has higher accuracy and rapidity,the photoelectric conversion efficiency of the photovoltaic cell is greatly improved.

关键词： large variance RBF neural network genetic algorithm maximum power point tracking

作者: ZHANG Jing XU Jiabin LIU Ning ZHAO Shengfang XU Yan

作者单位: College of Electrical and Automation Engineering,Shandong University of Science and Technology,Qingd College of Electrical and Automation Engineering,Shenyang University of Technology,Shenyang 111003

会议类型: 国内会议

会议名称: 2017中国智能物联系统会议

会议地点: 厦门

会议语种:英文

页码: 283-287

在线出版日期: 2017-11-17（万方平台首次上网日期，不代表论文的发表时间）