Optimal operation of a residential microgrid with demand side management

This paper presents an optimal operational strategy of a residential microgrid (MG) with the support of demand side management (DSM). The proposed optimization problem is modelled as a multi-objective problem by considering two different objective functions such as minimization of residential MG's total daily operational cost and maximization of consumers' comfort level. In this paper, a fuzzy satisfaction-maximizing method which converts the proposed bi-objective problem into a single objective problem is used and mixed integer linear programming (MILP) approach is applied to solve the single objective problem. Furthermore, the uncertainties related to the stochastic variations of load and different renewable energy sources are modelled in this analysis with the help of Monte-Carlo simulation (MCS) approach. Simulation results demonstrate the effectiveness of the proposed model to minimize the operational cost of residential MG without sacrificing the consumers' comfort level.