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.