A Bayesian Game Approach for Demand Response Management Considering Incomplete Information

Residential flexible resource is attracting much attention in demand response (DR) for peak load shifting. This paper proposes a scenario for multi-stage DR project to schedule energy consumption of residential communities considering the incomplete information. Community in the scenario can decide whether to participate in DR in each stage, but the decision is private information that is unknown to other communities. To optimize the energy consumption, a Bayesian game approach is formulated, in which probability characteristic of community's decision-making is described with Markov chain considering human behavior of bounded rationality. Simulation results show that the proposed approach can benefit all communities and grid, but the optimization effect is slightly inferior to that in complete information game approach.