Abstract: The rapid infiltration of wind energy systems in the power system is causing huge power fluctuations due to varying wind speeds and fault occurrences. Here objective is to tune… Click to show full abstract
Abstract: The rapid infiltration of wind energy systems in the power system is causing huge power fluctuations due to varying wind speeds and fault occurrences. Here objective is to tune the Proportional Integral (PI) controller parameters. Formulation of objective function with Integral Square Error (ISE) concept is to minimize the errors of active power, terminal voltage and DC bus voltage. To tune these control parameters a Self-adaptive Differential Evolution (SaDE) approach is adopted. These optimized parameters are applied to a 9 MW wind generation system using Doubly-Fed Induction Generator’s (DFIG) and compared this system with the actual system in MATLAB/Simulink. The results obtained here are found to be superior in terms of settling time, peak overshoot and undershoots, voltage profile.
               
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