Smart District Energy Management With Cooperative Microgrids

This paper faces the energy management problem of cooperative microgrids in a smart district. In particular, aim research work is to propose an innovative optimization model solve district composed several microgrids, taking into account uncertainties key parameters. this context, objective threefold: i) maximize use purchased at day-ahead market; ii) minimize need additional and expensive real-time iii) optimize integration renewable sources (RES), storage systems (ESS) electric vehicle (EV) batteries microgrid. To these goals, District Energy Management System (DEMS), i.e. central controller district, must balance demand with optimal RES, ESS EVs that are seen as movable devices shared among buildings. Moreover, surplus can be sold back main power grid. The DEMS solved by two approaches. first approach, demand, RES production costs known linear programming formalized DEMS. addition, second approach proposed order address parameters uncertainty stochastic problem. problems solutions provide strategy schedule charging discharging operations batteries. A simulated case study demonstrates benefits approaches for