A comprehensive approach for energy storage systems optimal planning and operation in presence of wind power generation

Energy storage systems (ESSs) are among the most effective techniques that offer several benefits to achieve greater system reliability and efficiency. ESS could be used for deferring network upgrades, demand side management, maximizing the arbitrage benefits, minimizing of energy losses, and allowing the integration of more renewable power. However, optimal planning of ESS is a must in order to achieve the utmost benefits. This paper presents a novel approach for optimal planning of ESS in order to maximize the arbitrage benefits and minimize the total cost of energy losses. The proposed approach relies on the modeling results obtained from a Monte Carlo based probabilistic modeling strategy for wind power and system demand. In the presented planning approach, the optimal operation schedule of ESS is firstly determined in order to maximize the distribution system arbitrage benefit. Secondly, the grey wolf optimization method is employed to determine the optimal location of wind based distributed generators and ESS in order to minimize the total net present value of energy losses cost. The modeling strategy and the optimization algorithms are implemented in MATLAB environment and tested on 33 bus distribution feeder and the results obtained show the efficiency of the proposed approach.