JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2013, Vol. 43 ›› Issue (5): 44-48.

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Maximum power point tracking control of wind energy based on pattern search

JING Ye-fei1, XU Bei-bei2, ZHANG Cheng-hui1*, LI Ke1, CHU Xiao-guang1   

  1. 1. School of Control Science and Engineering, Shandong University, Jinan 250061, China;
    2. Shenzhen Entry-exit Insection and Quarantine Bureau, Shenzhen 518067, China
  • Received:2013-08-10 Online:2013-10-20 Published:2013-08-10

Abstract:

In order to solve the problems that traditional wind energy maximum power point tracking (MPPT) approaches couldn′t achieve maximum real output power or meet both rapidity and accuracy at the same time, a novel MPPT approach was proposed. According to current wind speed and characteristic curve of wind turbine, the maximum wind power was captured by using tip speed ratio (TSR) control. Then the maximum power point was searched and acquired by using pattern search. Fuzzy PID control was adopted to make that the reference speed was fast tracked. It combined TSR control and pattern search algorithm effectively, and had the advantages in simplicity, searching speed and precision. Simulation and experimental results showed that the maximum output power could be achieved, and the wind energy conversion efficiency was increased. For example, the output power was increased by 4.8% while wind speed was 6.7m·s-1.

Key words: wind power generation, MPPT, TSR control, pattern search algorithm, fuzzy PID

CLC Number: 

  • TM614
[1] MA Chang-hui1, FENG Jiang-xia2, JIANG Zhe1, WU Nai-hu1, L Xiao-lu3. Wind power prediction based on time-series and BP-ANN [J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2014, 44(1): 85-89.
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