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논문검색

Power Optimal Control of Wind Turbine Based on Genetic Algorithm

원문정보

초록

영어

In order to improve smooth control of output power of megawatt variable pitch controlled wind turbine at high wind speed, an optimized fuzzy PID algorithm is proposed which includes PID and fuzzy control. The initial and the adjusted values of three parameters of this controller are given by Ziegler-Nichols tuning method and fuzzy control method. At the same time, variable weight synthesis of integrated time and absolute error (ITAE) index, overshoot index and settling time index of the system is used for establishing the objective function. Genetic Algorithm (GA) is used for optimizing fuzzy rules of fuzzy PID controller and obtaining the optimized parameters. A simulation validates the proposed method. We take a 1.5MW doubly fed induction wind generator (DFIG) as the subject. With calculation and comparison of the standard deviation of output power before and after rules optimization, it indicates that smoothness of output power becomes better. The control effect has been further improved as well.

목차

Abstract
 1. Introduction
 2. Modelling of Power Optimization Control System
  2.1. Wind Turbine Model
  2.2. Power Optimization Control Model
 3. Fuzzy PID Control based on GA
  3.1. Establishment of Objective Function
  3.2. Design of the Fuzzy PID Controller
  3.3. Fuzzy Control Rules Optimization based on GA
 4. Simulation and Analysis
 5. Conclusion
 Acknowledgments
 References

저자정보

  • Lixia Yang School of Automation & Electrical Engineering, Lanzhou JiaoTong University, Lanzhou 730070 P.R. China
  • Haiying Dong School of Automation & Electrical Engineering, Lanzhou JiaoTong University, Lanzhou 730070 P.R. China
  • Hongwei Li School of Automation & Electrical Engineering, Lanzhou JiaoTong University, Lanzhou 730070 P.R. China

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