Scheduling of Smart Micro Grid Considering Reserve and Demand Side Management

Nowadays, scheduling of microgrids is introduced as an optimal solution for Distribution companies (DisCos) to manage the required energy demand at the time operation. In this paper, bi-objective optimization model is proposed as minimization operational cost and emission, with the demand side management (DSM) in day-ahead market pricing. The modeling of DSM is considered as load reduction program (LRP), Time-of-use (TOU) program, and reserve schedule is utilized for energy storage system (ESS). The objective functions are implemented as mixed integer non-linear programming (MINLP), then have been solved as linear modeling. The ε-constraint method has been applied to make Pareto front solutions, and fuzzy approach is used to select best solution. Finally, impact of the presented methodology has been studied in different cases.