Multi-objective Optimal Power Scheduling of A Residential Microgrid Considering V2G and Demand Response Techniques

Electrical load reshaping plays an important role in optimal power scheduling and emission reduction. Vehicle-to-grid (V2G) strategies offer an appropriate control option for flatting load duration curves despite the high burden of electric vehicles on the utility grid. Charging EV s from renewable sources is the only solution for reducing electric grid's emissions, so establishing new microgrids which depend mainly on renewable energy is highly encouraged these days. The novelty of this paper demonstrated in studying the emission reduction and multi-objective optimal power scheduling of the residential microgrids considering EVs' charging/discharging management and demand response programs. Two case studies are discussed in this research; the first one is the system without EV integration, and the second case study represents the integration of controlled EV s. The obtained results show a significant reduction in the system cost by integrating EV s to the system.