Grey wolf optimization of PI controller for power management in wind farms: a novel approach
Year: 2025
Type: article
Abstract: This study proposes a novel power management strategy for wind farms using a grey wolf optimization (GWO)-based PI controller. The method aims to enhance active and reactive power control in systems employing dou bly fed induction generators. Three control strategies are evaluated—namely, a classical frequency-domain PI controller, an Artificial Neural Network (ANN)-based controller, and the proposed GWO-based PI controller—the last of which represents the main contribution. The classical PI and ANN controllers are included strictly for comparative bench marking. MATLAB simulations demonstrate that the GWO-beased PI controller offers superior dynamic performance, particularly in settling time and overshoot reduction. A power management algorithm is also developed to coordinate turbine outputs under varying wind conditions to meet a global production target. Results confirm the effectiveness of the proposed approach in enhancing wind farm stability, responsiveness, and energy efficiency.
Authors: ANIS FEDDAOUI, LOTFI FARAH, ABDELOUAHAB BENRETEM, MOHAMMED ABDELDJALIL DJEHAF
Language: English
Topic: Wind Turbine Control Systems
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W7106853933
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