Demand Response Management via Real-Time Pricing for Microgrid with Electric Vehicles under Cyber-Attack

The initiative of users to participate in power grid operation is a key factor realizing the optimal allocation power. Demand response (DR) management mechanisms based on real-time pricing (RTP) can effectively promote enthusiasm users, stimulate efficiency microgrids for dispatch, and achieve goasl peak shifting valley filling. In this paper, we consider microgrid composed several energy providers (EPs) multiple each user equipped with electric vehicles (EVs). It should be noted that EVs may attacked by networks process data exchange when connect MG. environment, establish multi-time slots social welfare maximization model reflects common interests EPs users. To simplify problem, decompose into set single-time slot optimization problems relaxation method. Furthermore, identification processing (MIP) under cyber-attack are proposed. problem decoupled duality decomposition. Then, through integration MIP, distributed RTP algorithm dual subgradient designed obtain electricity price. Finally, simulation results verify feasibility effectiveness proposed algorithm. Through comparative analysis, necessity identifying fully embodied.