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Mansur Mansur
Universitas Halu Oleo
Electrical & Electronics Engineering

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Optimal distribution network reconfiguration for harmonic mitigation using PSO Sungguminasa 165-bus system with DG and passive filters Yuli Asmi Rahman; Muhira Dzar Faraby; Sofyan Sofyan; Sarma Thaha; Musfirah Putri Lukman; Muhammad Sahrul Ramadan; Firdaus Firdaus; Mansur Mansur; Andi Fitriati; Muhammad Rais
Bulletin of Electrical Engineering and Informatics Vol 15, No 5: October 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i5.12124

Abstract

The increasing penetration of distributed generation (DG) and nonlinear loads in medium-voltage distribution networks have intensified harmonic distortion, causing poor power quality, higher losses, and potential equipment malfunction. This study proposes a comprehensive optimization framework that combines distribution system reconfiguration (DSR), optimal DG placement, and passive harmonic filter (PHF) allocation using an enhanced particle swarm optimization (PSO) method under coordinated scenarios. The framework simultaneously minimizes total harmonic distortion (THD), active power losses, and voltage deviation while satisfying operational constraints such as network radiality, %THDv limits, and acceptable voltage profiles. A case study is conducted on the 165-bus Sungguminasa distribution network using realistic load data and harmonic characteristics of nonlinear customers. Simulation results show that the proposed PSO-based multiobjective optimization reduces %THDv by 54.38%, decreases power losses by 34.26%, and improves the voltage profile by 0.65% compared with the base configuration. The coordinated application of DSR, DG, and PHF consistently outperforms individual mitigation strategies, demonstrating its practical and economic effectiveness for improving power quality in modern distribution systems. The framework therefore offers utilities a reliable approach for increasingly complex distribution networks.
Co-Authors Andi Fitriati Muhammad Rais Muhammad Sahrul Ramadan Muhira Dzar Faraby Musfirah Putri Lukman Sarma Thaha Sofyan Sofyan Yuli Asmi Rahman