Sofyan Sofyan, Jasrul Jamani Jamian, Norazliani Md Sapari, Alfiansyah Muis, Muhira Dzar Faraby, Ahmad Rizal Sultan, Muhammad Rais, Mochammad Apriyadi Hadi Sirad, Mukhlisin
The increasing penetration of photovoltaic (PV) generation in distribution networks introduces significant technical challenges, including voltage deviation, power losses, and harmonic distortion caused by nonlinear loads and inverter-based sources. This study presents an optimization approach to determine the optimal capacity and placement of photovoltaic hosting in the ULP Daya distribution network, considering harmonic propagation effects. The analysis combines the Forward-Backward Sweep (FBS) and Harmonic Load Flow (HLF) methods to power losses and total harmonic distortion (THD) under various loading scenarios. The optimization process employs the Particle Swarm Optimization (PSO) algorithm to minimize total power losses, voltage deviation, and harmonic distortion simultaneously. Simulation results on the KIMA Baru feeder demonstrate that the proposed method effectively improves network performance by reducing total power losses, maintaining voltage levels within IEEE Std. 1547 limits, and keeping THDv and THDi below the IEEE Std. 519 thresholds. Simulation results show that a 50% PV capacity injection can reduce total losses by up to 21%. These findings demonstrate that integrating optimal PV placement can improve system efficiency, voltage stability, and power quality, thus supporting the transition to a more reliable and sustainable distribution system. © 2025 IEEE.
University Teknologi Malaysia, Faculty of Electrical Engineering, Johor, Malaysia; Polytechnic State of Ujung Pandang, Department of Electrical Engineering, Makassar, Indonesia; Patria Artha University, Department of Electrical Engineering, Makassar, Indonesia; Khairun University, Department of Electrical Engineering, Indonesia; State University of Makassar, Department of Vocational Education and Engineering, Makassar, Indonesia
