Optimum Generated Power for a Hybrid DG/PV/Battery Radial Network Using Meta-Heuristic Algorithms Based DG Allocation

This paper presents four optimization outcomes for a diesel generator (DG), photovoltaic (PV), and battery hybrid generating radial system, to reduce the network losses achieve optimum generated power with minimum costs. The effectiveness of utilized meta-heuristic algorithms in this (firefly algorithm, particle swarm optimization, genetic surrogate optimization) was compared, considering factors such as Cost Energy (COE), Loss Power Supply Probability (LPSP), coefficient determination (R2). multi-objective function approach adopted find optimal DG allocation sizing location using separately solution. forward-backward sweep method (FBSM) employed research compute network’s flow. Based on computed algorithms, inclusion an additional 300 kW bus 2 concluded be effective strategy optimizing resulting maximizing Results reveal that firefly algorithm outperforms other three reducing burden main batteries by 30.48% 19.24%, respectively. existing electricity case study located Tomia Island, Southeast Sulawesi, Indonesia.