Battery Energy Storage Planning in Distribution Network with Renewable Resources

Abstract

The vital role of power system planning and operation is to provide secure, reliable, and high-quality energy services for the consumers in cost-effective manner and friendly environmental framework. This can be achieved by introducing innovative applications and technologies and integrating them into the system infrastructure. Battery Energy Storage Systems (BESS) are one of these technologies that are expected to play a key role in the energy sector in the near future. In this paper, a probabilistic planning model is introduced to optimize the location, size, and operation of BESSs that takes into consideration the intermittent nature of wind speed and solar irradiance as well as system demand uncertainty. BESSs investment and operation costs as well as upgrade costs of substation and distribution feeders and energy losses were considered in this study. The objective of this planning is to minimize the total expenditure and operation costs over planning period, and the problem was solved using Particle Swarm Optimization (PSO). The results have shown that integration of BESSs in the distribution system, in the presence of renewable resources will have a significant impact on reducing the total expenditure and operation costs in distribution systems.