American Journal of Renewable and Sustainable Energy
Articles Information
American Journal of Renewable and Sustainable Energy, Vol.1, No.3, Sep. 2015, Pub. Date: Aug. 5, 2015
Optimal Power Control for Distributed DFIG Based WECS Using Genetic Algorithm Technique
Pages: 115-127 Views: 4605 Downloads: 2248
Authors
[01] Hanan M. Askaria, Egyptian Electricity Transmission Company, Abbasia Area, Cairo, Egypt.
[02] M. A. Eldessouki, Faculty of Engineering, Department of Elec. Power, University of Ain Shams, Cairo, Egypt.
[03] M. A. Mostaf, Faculty of Engineering, Department of Elec. Power, University of Ain Shams, Cairo, Egypt.
Abstract
This paper presents an improved control strategy for both the rotor side converter (RSC) and grid side converter (GSC) of a distributed doubly fed induction generator (DFIG)-based wind energy conversion system (WECS) using Genetic Algorithm (GA) technique. The primary objective of this control scheme is to track the optimal power extracted from the wind according to the power- speed curve characteristic of the wind turbine. Based on genetic algorithm technique, specific fitness functions related to both rotor and stator currents and voltages are presented in order to obtain the best values for controller gains of both RSC and GSC controllers in order to achieve an optimal output power and maintaining system dynamic stability. MATLAB /Simulink were used to build the dynamic model and simulate the system. The model performance was also compared with the detailed model developed by matlab simulink to show the validity of presented study.
Keywords
Index Terms - DFIG, GA Technique, Objective Function, PI Controller
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