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Probabilistic Optimal Bi-level Scheduling of a Multi-Microgrid System with Electric Vehicles
Mohammad Mirzaei,Reza Keypour,Mehdi Savaghebi,Keyvan Golalipour 대한전기학회 2020 Journal of Electrical Engineering & Technology Vol.15 No.6
In this paper, an effi cient energy management system (EMS) is proposed for optimal operation of multiple electrically coupled microgrids (MGs). A new bi-level EMS is employed as an enhanced technique to coordinate vehicle-to-grid (V2G) operation of electric vehicles (EVs) with a stochastic framework in a multi-microgrid system. Hierarchical EMS helps the system to preserve the privacy of each MG. The EV scheduling and demand response programs have been integrated simultaneously in the optimization strategy to reduce the load demand of the peak hours and reshape the load profi le. Uncertainties related to the system load demand, renewable generations, EV fl eet behavior and energy price are considered. The proposed stochastic system is solved by adaptive particle swarm optimization algorithm. Numerical studies on a two electrically coupled industrial and residential MGs test system verify the effi ciency of proposed EMS for cost reduction of the system and optimal operation of V2G.