LAUSR.org creates dashboard-style pages of related content for over 1.5 million academic articles. Sign Up to like articles & get recommendations!

Optimal Tuning of PI Controllers for DFIG-Based Wind Energy System using Self-adaptive Differential Evolution Algorithm

Photo from wikipedia

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.

Keywords: wind energy; system; self adaptive; system using; differential evolution; adaptive differential

Journal Title: International Journal on Electrical Engineering and Informatics
Year Published: 2019

Link to full text (if available)


Share on Social Media:                               Sign Up to like & get
recommendations!

Related content

More Information              News              Social Media              Video              Recommended



                Click one of the above tabs to view related content.