Research on MPPT of PV Systems Based on BP Neural Network

摘要：

　　In order to obtain more output power of photovoltaic (PV) array,which depends on solar irradiation and ambient temperature,maximum power point tracking (MPPT) techniques are employed.Among all the MPPT strategies,the Perturb and Observe (P&O) algorithm is more attractive due to the simple control structure.Nevertheless,steady-state oscillations always appear due to the perturbation.In this paper,a new MPPT method based on BP Neural Networks and P&O is proposed for searching maximum power point (MPP) fast and exactly,and its effectiveness is validated by experimental results using hardware platform based on microcomputer.

关键词： maximum power point tracking Perturb and Observe BP neural networks

作者: Wenying Chen Yongjun Lin Weiliang Liu Shuangsai Liu

作者单位: Department of Automation,North China Electric Power University,Baoding,China

会议类型: 国际会议

会议名称: 2012 International Conference on Intelligent System and Applied Material(2012智能系统与应用材料国际会议)(GSAM2012)

会议地点: 太原

会议语种:英文

页码: 930-934

在线出版日期: 2012-01-13（万方平台首次上网日期，不代表论文的发表时间）