Metaheuristic Optimisation of Shunt Active Power Filter Control for Power Quality Enhancement in Hybrid Renewable Microgrids
Year: 2026
Type: article
Abstract: The growing global demand for electricity, driven by rapid industrialisation and population growth, has intensified the need for sustainable and high-quality power systems. Hybrid renewable energy source (HRES)–based microgrids provide a practical pathway for integrating clean energy; however, the widespread use of nonlinear loads and power electronic interfaces introduces persistent power quality challenges, including harmonic distortion, voltage sags, and unbalanced fault conditions. In this study, an intelligent optimisation-based control strategy for a shunt active power filter (SAPF) is proposed using the Mountain Gazelle Optimiser (MGO), a recently developed bio-inspired metaheuristic algorithm, to tune proportional–integral (PI) controller gains dynamically. The MGO-optimised PI controller adaptively regulates inverter switching signals to enhance harmonic mitigation, reactive power compensation, and overall system stability. A detailed MATLAB/Simulink model of a grid-connected hybrid photovoltaic–fuel cell–battery microgrid is developed to assess the proposed approach under severe power quality disturbances, including voltage sag events and line-to-line-to-ground faults. Simulation results demonstrate that the MGO-based SAPF achieves substantial performance improvements over conventional PI control, including a 42.53% reduction in total harmonic distortion under fault conditions, an 8.08% improvement during voltage sag events, an 80.87% reduction in voltage deviation, and a 3.45% enhancement in power factor, while maintaining compliance with IEEE 519 standards. These results highlight the effectiveness of the proposed MGO-PI control framework as a robust, adaptive power-conditioning solution for enhancing power quality in renewable-rich microgrids and supporting the operational requirements of future intelligent energy systems.
Source: Research
Institution: Siksha O Anusandhan University
Language: English
Topic: Power Quality and Harmonics
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7164834571