Title: Power optimisation of wind energy conversion system using T-S fuzzy approach

Authors: Sahbi Abderrahim; Moez Allouche; Mohamed Chaabane

Addresses: Research Laboratory: Numerical Control of Industrial Processes, National School of Engineers of Gabes, University of Gabes, Tunisia ' Laboratory of Sciences and Techniques of Automatic Control and Computer Engineering, National School of Engineers of Sfax, University of Sfax, Tunisia ' Laboratory of Sciences and Techniques of Automatic Control and Computer Engineering, National School of Engineers of Sfax, University of Sfax, Tunisia

Abstract: This paper presents a maximum power point tracking control for a wind energy conversion system (WECS) using a squirrel cage induction generator (SCIG) which supplies a DC load through AC/DC converter. The goal of the developed fuzzy control law is to track the reference signals corresponding to the maximum power generation that leads to an optimal operation of the induction generator. First, the dynamics behaviour of the WECS is represented by a Takagi-Sugeno (T-S) fuzzy model. Then, a H_∞ observer-based fuzzy controller is proposed to achieve a maximum power point tracking even when we consider a varying wind speed profile. The controller and observer gains are calculated by solving linear matrix inequalities (LMIs). Finally, simulation results are presented to illustrate the effectiveness of the proposed approach.

Keywords: wind energy conversion system; fuzzy observer; AC/DC converter; Takagi-Sugeno model; linear matrix inequality; LMI.

DOI: 10.1504/IJISE.2021.115073

International Journal of Industrial and Systems Engineering, 2021 Vol.38 No.1, pp.35 - 58

Received: 16 Jan 2019
Accepted: 24 Jul 2019
Published online: 18 May 2021 *

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