Multi-Objective Sizing of Energy Storage Systems (ESSs) and Capacitors in a Distribution System

Continuous load changes due to customers' new lifestyle and generation uncertainty arising from renewable energy resources will make load balancing a problem in the future grid. Energy Storage Systems (ESSs) can be a solution to this issue but using them in a distribution network needs considerable investment. On the other hand, capacitors can enhance the voltage profile, reduce the power loss of the distribution network, and due to cheapness, reduce the total system cost. This paper presents a model for the optimal sizing problem of ESSs and capacitors in a distribution network. The model is multi-objective and formulated as a mixed-integer non-linear programming problem. The optimization problem is solved to minimize the total system cost and enhance the voltage profile using the Genetic Algorithm (GA). The simulation results on the IEEE 33-bus network show the effectiveness of this method.