A Fuzzy Logical MPPT Control Strategy for PMSG Wind Generation System

Xingpeng Li, Wenlu Fu, Qingjun Shi, Jianbing Xu, Quanyuan Jiang. Journal of Electronic Science and Technology, 2013.
DOI
Authors in the RPG Lab
(might be unordered here; check the citation below)

Abstract

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.

Index Terms

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

Cite this paper:

Xingpeng Li, Wenfu Fu, Qingjun Shi, Jianbing Xu, and Quanyuan Jiang, “A Fuzzy Logical MPPT Control Strategy for PMSG Wind Generation System,” Journal of Electronic Science and Technology, vol. 11, no.1, pp. 72-77, Mar. 2013.

PDF copy available at:

http://www.journal.uestc.edu.cn/fileDZKJDX_EN/journal/article/dzkjdxxbywb/2013/1/PDF/2013-1-72.pdf