Engineering and Technology Horizons | 2026
Authors: Rattanakam S.; Prabpal P.; Sonasang S.; Phuangchuen P.; Kittiphotiklang T.; Wanawong N.
DOI: 10.55003/ETH.430105
Journal: Engineering and Technology Horizons
Year: 2026
Publisher: King Mongkut's Institute of Technology Ladkrabang
Document Type: Article
Open Access: All Open Access; Gold Open Access
Cited by: 0
This article focuses on addressing key challenges in modern power distribution systems by presenting an appropriate approach for determining the size and location of Battery Energy Storage Systems (BESS) to improve Load Frequency Control (LFC) using the principles of Particle Swarm Optimization (PSO). The research modeled the standard IEEE 28-bus power distribution system to analyze and identify optimal locations for BESS installation, with the main goal of minimizing power losses, which directly support LFC. The simulation results show that using PSO allows for the identification of the optimal BESS location and size, which is the installation of a 1.16 MW BESS at bus 18. This configuration significantly reduces power losses by 72.03 % compared to the case without BESS installation. This result confirms the excellent ability of BESS to improve the efficiency and stability of the power system and is extremely beneficial for future power grid planning, which faces load and renewable energy source fluctuations. © 2026, King Mongkut's Institute of Technology Ladkrabang. All rights reserved.
Battery Energy Storage System; Load Frequency Control; Particle Swarm Optimization; Power Loss