Optimal tuning of PI controller using PSO optimization for indirect power control for DFIG based wind turbine with MPPT

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• 作者：Youcef Bekakra (1)
  Djilani Ben Attous (1)
  
• 关键词：Doubly fed induction generator ; Wind turbine ; Field oriented control ; PI (proportional integral) ; Particle swarm optimization (PSO) ; Maximum power point tracking (MPPT)
• 刊名：International Journal of Systems Assurance Engineering and Management
• 出版年：2014
• 出版时间：September 2014
• 年：2014
• 卷：5
• 期：3
• 页码：219-229
• 全文大小：1,027 KB
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• 作者单位：Youcef Bekakra (1)
  Djilani Ben Attous (1)
  
  1. Department of Electrical Engineering, Faculty of Sciences and Technology, University of El Oued, P.O. Box 789, El Oued, Algeria
  

文摘

In this paper, an artificial intelligence method particle swarm optimization (PSO) algorithm is presented for determining the optimal PI controller parameters for the indirect control active and reactive power of doubly fed induction generator (DFIG) to ensure a maximum power point tracking of a wind energy conversion system. A digital simulation is used in conjunction with the PSO algorithm to determine the optimum parameters of the PI controller. Integral time absolute error, integral absolute error and integral square error performance indices are considered to satisfy the required criteria in output active and reactive power of a DFIG. From the simulation results it is observed that the PI controller designed with PSO yields better results when compared to the traditional method in terms of performance index.