Optimal Size, Type and locations of Energy Storage Systems in Microgrid with The Presence of Responsive Loads

In this paper, a linear model for optimal sizing and allocating two types of energy storage systems in a microgrid is presented. Uncertainties such as, renewable resources generation and microgrid islanding capability are carried out in a stochastic framework. Also, the effects of considering responsive demands on optimum size and allocation of storages in a 33-bus network are investigated. The proposed method is modeled based on two stage stochastic programming problem. To handle uncertainties of renewable resource generation and upstream line failures, time series model and Monte Carlo simulation are used, respectively. The proposed model is implemented as a mixed integer linear programming (MILP) in GAMS software and is solved with CPLEX solver. Effectiveness of the proposed model is examined by various case studies.