Research on the MPPT Algorithms of Photovoltaic System Based on PV Neural Network

摘要：

In order to solve Maximum Power Point Tracking (MPPT) technology difficulties in photovoltaic system, 2-level neural network-genetic optimal algorithm is employed to estimate the photovoltaic battery model, taking into account possible influencing factors for battery output power such as light intensity, circumstance temperature, battery junction temperature, battery position. This method overcomes both power loss caused by oscillation around maximum power point with the traditional hill-climbing method and difficulty of training data with traditional neural network algorithm.

关键词： Photovoltaic system MPPT Neural network Genetic algorithm Function transform of semiconductor memory

作者: Long Jie Chen Ziran

作者单位: Chongqing Education College, Chongqing, 400067, China Hefei University of Technology, Hefei, 230009, China

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 1851-1854

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）