A Fuzzy Logical MPPT Control Strategy for PMSG Wind Generation Systems

作     者：Xing-Peng Li Wen-Lu Fu Qing-Jun Shi Jian-Bing Xu Quan-Yuan Jiang 

作者机构：the College of Electrical EngineeringZhejiang University Chongqing Changshou Power Supply Bureau 

出 版 物：《Journal of Electronic Science and Technology》 (电子科技学刊（英文版）)

年 卷 期：2013年第11卷第1期

页      面：72-77页

学科分类：080802[工学-电力系统及其自动化] 0808[工学-电气工程] 08[工学] 0807[工学-动力工程及工程热物理] 

基　　金：supported by the National High Technology Research and Development Program of China under Grant No.2011AA05S113 Major State Basic Research Development Program under Grant No.2012CB215106 Science and Technology Plan Program in Zhejiang Province under Grant No.2009C34013 National Science and Technology Supporting Plan Project under Grant No.2009BAG12A09 

主　　题：Fuzzy logical control hill climbing search maximum power point tracking permanent magnet synchronous generator wind generation system. 

摘      要：Making full use of wind power is one of the main purposes of the wind turbine generator control. Conventional hill climbing search （HCS） method can realize the maximum power point tracking （MPPT）. However, the step size of HCS method is constant so that it cannot consider both steady-state response and dynamic response. A fuzzy logical control （FLC） algorithm is proposed to solve this problem in this paper, which can track the maximum power point （MPP） quickly and smoothly. To evaluate MPPT algorithms, four performance indices are also proposed in this paper. They are the energy captured by wind turbine, the maximum power-point tracking time when wind speed changes slowly, the fluctuation magnitude of real power during steady state, and the energy captured by wind turbine when wind speed changes fast. Three cases are designed and simulated in MATLAB/Simulink respectively. The comparison of the three MPPT strategies concludes that the proposed fuzzy logical control algorithm is more superior to the conventional HCS algorithms.