Fine-Tuning PI Controller Parameters for an Efficient Wind Energy Extraction System through Mean Squared Error (MSE): A Control System based on Ant Colony Optimization for Maximum Power Point Tracking (MPPT)

Abstract

This study presents a novel approach for optimizing Maximum Power Point Tracking (MPPT) command in an wind energy conversion system (WECS) utilizing an Permanent Magnetic Synchronous Generator (PMSG).A proposed method integrates Ant Colony Optimization (ACO) to enhance power extraction efficiency. Specifically, a Proportional Integral (PI) controller is employed for steady a maximum power point for a wind turbine, yielding crucial parameter values 'P' and 'I' within a stable range. To tackle conflicting closed-loop system performance criteria, a multi-criterion ACO approach is utilized, focusing on Mean Squared Error (MSE) for controller settings. Simulation results demonstrate the successful attainment of the desired Maximum Power Point, evidenced by outputs such as generated power, DC bus voltage, electromagnetic torque, and current. That innovative approach offers a comprehensive strategy for optimizing MPPT control at wind energy systems, contributing to enhanced overall performance and efficiency.