Thermal exchange optimization based control of a doubly fed induction generator in wind energy conversion systems

Mohammed Mazen Alhato (National Engineering School of Tunis (ENIT))
Soufiene Bouallègue (High Institute of Industrial Systems of Gabès)

Indonesian Journal of Electrical Engineering and Computer Science
Vol 20, No 3: December 2020

This paper presents a novel design method to attain the optimal parameters of proportional integral (PI) controllers for a doubly fed induction generator (DFIG) in wind energy based on a thermal exchange optimization (TEO) algorithm. Since the gains of PI controllers are usually selected by classical and tedious trials-errors based procedures, their tuning for such a wind energy converter is formulated as a constrained nonlinear optimization problem. Inspired by Newton’s law of cooling, the TEO algorithm is successfully applied to solve such a control problem under time-domain performances and operational constraints in order to extract the maximum available power. In order to assess the performances of the proposed TEO algorithm, a comparative study between the TEO algorithm and homologues ones is performed. Moreover, a statistical analysis using Friedman and Bonferroni-Dunn’s tests indicates that the TEO lgorithm gives very competitive results in comparison to the other reported metaheuristic algorithms.