Abstract
This paper proposes a multi-agent collaborative optimization method for virtual power plants based on the Bayesian game. Focusing on the internal scheduling of VPP, taking demand response load as the analysis object, aiming at the interactive optimization relationship between multiple intelligent communities in the virtual power plant under this scenario, a multi-agent collaborative optimization model of the virtual power plant is established by using Bayesian game theory. The effectiveness of the constructed game model and algorithm is verified by solving the actual example of the virtual power plant and analyzing the corresponding simulation results.
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