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A New Control Strategy of a Wind Power Generation and Flywheel Energy Storage Combined System

  • Jian Wang
  • Long-yun Kang
  • Bing-gang Cao
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3972)

Abstract

The paper analyzes the structure character of a wind power generation and flywheel energy storage combined system, and presents a new control strategy—fuzzy neural network (FNN) based on genetic arithmetic (GA) for the nonlinear problem of the control system. The control strategy realizes automatic regulation of direct current (DC) bus voltage in the system, so it stabilizes the DC bus voltage of the system. The experimental results show that the controller has better self-learning and robustness, and realizes the satisfactory operation of the proposed system.

Keywords

Fuzzy Neural Network Induction Machine Wind Power Generation Fuzzy Control Rule Satisfactory Operation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jian Wang
    • 1
  • Long-yun Kang
    • 1
  • Bing-gang Cao
    • 1
  1. 1.Department of Mechatronics EngineeringXian JiaoTong UniversityXi’anChina

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