Optimal Sizing and Placement of a Battery Energy Storage System for Load Frequency Control using Particle Swarm Optimization

Sidtha  Rattanakam; Prakasit Prabpal; Somchat Sonasang; Praphat  Phuangchuen; Thunyaput Kittiphotiklang; Niwat Wanawong

doi:10.55003/ETH.430105

Authors

Sidtha Rattanakam Sakon Nakhon Technical College, Institute of Vocational Education North Eastern 2, Thailand
Prakasit Prabpal Udon Thani Technical College, Institute of Vocational Education North Eastern 1, Thailand
Somchat Sonasang Faculty of Industrial Technology, Nakhon Phanom University, Thailand
Praphat Phuangchuen Institute of Vocational Education Eastern Region, Thailand
Thunyaput Kittiphotiklang Institute of Vocational Education Eastern Region, Thailand
Niwat Wanawong Sakon Nakhon Technical College, Institute of Vocational Education North Eastern 2, Thailand

DOI:

https://doi.org/10.55003/ETH.430105

Keywords:

Load Frequency Control, Battery Energy Storage System, Particle Swarm Optimization, Power Loss

Abstract

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.

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