การหาจุดติดตั้งและขนาดที่เหมาะสมที่สุดของระบบกักเก็บพลังงานไฟฟ้าแบบแบตเตอรี่ในระบบจำหน่ายไฟฟ้าที่มีการติดตั้งไฟฟ้าโซลาร์เซลล์และยานยนต์ไฟฟ้าโดยวิธีเมตาฮิวริสติก

Abstract

In this research, the optimal placement and capacity of battery energy storage systems (BESS) in distribution networks integrated with photovoltaics (PV) and electric vehicles (EVs) have been proposed. The main objective function is to minimize the system costs including installation, replacement, and operation and maintenance costs of the BESS. The replacement cost has been considered over 20 years while the operation and maintenance costs are the costs incurred by transmission line loss, voltage regulation, and peak demand. To solve the problem, three metaheuristic algorithms, namely particle swarm optimization (PSO), african vultures optimization algorithm (AVOA), and salp swarm algorithm (SSA), are employed. The proposed approach is evaluated on the IEEE 33- and 69-bus distribution systems integrated with PV and EVs and case study test in the actual distribution system at Phitsanulok Station 1 Feeder 10. The results provided by the considered algorithms are compared in terms of the objective function, system efficiency enhancement, payback period, and statistical analysis. The simulation results show that after the BESS installation, the voltage profile can be improved, transmission loss is reduced, and peak demand is decreased where PSO provides the best objective values.