Multi-Time-Scale Coordinated Optimal Dispatch of a Virtual Power Plant Under Unreliable Communication

Development of wireless technologies provides a promising communication scheme with low operating cost and high speed. However, fragile communication channels bring negative impacts on the reliability of bidirectional communication. Packet loss, the inherent attribute of communication may deteriorate control performance of distributed energy resources, affecting the profit of a virtual power plant (VPP) participating in a power market. In this paper, we present a quantitative method to analyze the effect of imperfect communication on the scheduling strategy of VPPs. In the proposed approach, a four-state discrete time Markov chain is used to model average packet loss probability. Then a two-stage dispatch scheme is proposed to maximize daily profit of a VPP with microgas-turbine, wind and electric vehicles (EVs), Meanwhile, to reduce the dimensions of the model due to large-scale EVs in the vehicle to grid (V2G) operation, a compression method of an EV cluster model is proposed based on Minkowski addition. Feasibility and effectiveness of the proposed method, including reducing the impact of data loss on the scheduling of VPPs, can significantly improve the economic efficiency of VPPs, and are verified by given cases.