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Uwadiegwu Alaneme, George
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Electrical & Electronics Engineering

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Equilibrium optimizer-based double integral sliding mode maximum power point tracking for wind energy Sahu, Shrabani; Behera, Sasmita; Chandra Giri, Nimay; Uwadiegwu Alaneme, George; Abdelaziz Syam, Fathy; Salem, Fawzan
Bulletin of Electrical Engineering and Informatics Vol 14, No 6: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i6.10383

Abstract

Wind energy is an effective renewable energy source. However, when it comes to harnessing its power because of its variability and nonlinearity, traditional controllers have limitations. This work proposes the design of two nonlinear maximum power point tracking (MPPT) methods to track the maximum power point for stochastic wind in the below-rated wind speed zone. These methods are the sliding mode controller (SMC) and the double integral sliding mode controller (DISMC). A benchmark model of a 4.8 MW wind turbine (WT) is subjected to random wind profiles in the MATLAB/Simulink environment. The equilibrium optimizer (EO) is used here and contrasted with particle swarm optimization (PSO) and grey wolf optimizer to achieve a good design of the controller in the sliding plane and change the switching control in sliding mode. The proposed optimization methodology and DISMC improved the smoothening of the control of angular speed, and specifically, the EO outperformed the rest of the techniques.
Co-Authors Abdelaziz Syam, Fathy Behera, Sasmita Chandra Giri, Nimay Sahu, Shrabani Salem, Fawzan