Reactive Power Optimization of Active Distribution Network Considering Mobile Energy Storage

Abstract

Reactive power optimization (RPO) is an effective way to improve the power balance and reduce the risk of voltage violation in active distribution networks (ADN). However, traditional reactive power optimization methods mainly rely on stationary equipment and ignore the utilization of flexibility resources such as mobile energy storage systems (MESSs). This paper exploits the MESSs to provide localized reactive power support and proposes a day-ahead reactive power scheduling model with consideration of MESSs and conventional reactive power compensators. In the proposed model, the optimal MESS routing in the feeder can be decided and the reactive power output of the MESSs and conventional reactive power compensators can be optimally coordinated to minimize the node voltage deviations in active distribution network. By considering discrete and continuous reactive power compensators, the optimization problem can be solved effectively by the Artificial Bee Colony (ABC) Algorithm due to its strong global searching ability. The effectiveness of the proposed method is validated with the IEEE 33-node distribution test system.