Robust Sliding Mode Control-Based Multi-Objective Particle Swarm Optimization for Harmonic Distortion Mitigation in Wind-Dominated Grids Using Real-Time Tuned Shunt Active Power Filters

Sliding Mode Control (SMC), Multi-Objective Particle Swarm Optimization (MOPSO), Shunt Active Power Filter (SAPF), Harmonic Distortion Mitigation, Wind-Dominated Grids, Power Quality Enhancement

Authors

  • Adel Elgammal Professor, Utilities and Sustainable Engineering, The University of Trinidad & Tobago UTT
November 4, 2025
November 5, 2025

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Through the escalating penetration of wind generation in modern power systems, new challenges are imposed on power quality, including harmonic distortion caused by power electronic based interfaces and non-linear loads. To overcome these problems, this paper proposes a new hybrid control strategy of Shunt Active Power Filters (SAPFs) based on the Sliding Mode Control (SMC) and the Multi-Objective Particle Swarm Optimization (MOPSO), to thereby improve the performance of such filters in harmonic compensation in wind-based electrical systems. The robustness and fast dynamic response characteristic of SMC is used to maintain system's stability under variation of wind generation and load. Meanwhile, controller parameters are optimized online based on MOPSO to satisfy various inconsistent control objectives such as Total Harmonic Distortion (THD) reduction, reactive power compensation, and low switching loss.

A dynamic grid connected wind energy system is simulated in MATLAB/Simulink with DFIG, nonlinear loads, and SAPF under various operating conditions. The Pareto-optimal set of controller gains is obtained by MOPSO algorithm that provides trade-off between harmonic compensation performance and control effort. The proposed system is analyzed using different wind speeds and load patterns to check the reliability and adaptability. Simulation comparatives with the classical PI, as well as the non-optimized SMC controller, show an important decrease in THD (attaching the standard IEEE-519) accepting power factor correction and the system stability. The findings validate that, the inclusion of SMC-based tuning with MOPSO improves the real-time efficiency of SAPFs. This work underpins the intelligent and adaptive PQ solutions for future smart grid applications with greater renewable-based generation. The developed approach is scalable, computationally inexpensive, and convenient for on-line application in active distribution networks.