Optimal location and sizing for PV system and battery energy storage system using ABC algorithm considering voltage deviation and time of use rate

Abstract

This paper presents the optimal location and sizing for photovoltaic (PV) and battery energy storage (BESS) with pV 220 kWp on King Mongkut's University of Technology Thonburi, Bangkhunthian Campus (KMUTT BKT) 13 bus system. By using Artificial Bee Colony Algorithm (ABC) to find the optimal PV and battery size considering Time of use Rate (TOU) and using Time Sweep Mode in DlgSILENT Power factory to get the optimal location focus on voltage deviation of the system by defining scenario that may happen to the system in the future. The PV installation on the limited rooftop area of the building and Net Present Value NPV are considered for optimal sizing. The results show that the system with optimal location and sizing of PV and battery energy storage lead to system voltage difference from 85.64% to 4.13%, efficient energy usage, save energy cost 23.74% per year and reduce power transmission line loss from utility grid to KMUTT BKT.