Bayesian Game Strategy for Energy Communities with Prosumers Considering Markov Chain
With the continuous increases in the proportion of user side energy transformation in the power system,the traditional community power users are gradually transformed into prosumers in an energy community,and the local consumption of distributed energy is promoted through energy trading.In this context,this paper constructs a Bayesian game energy trading model to realize the autonomous energy trading among the prosumers in the energy community.Firstly,aiming at the uncertainty of the transaction identity of the prosumers,the Markov chain is used to analyze the status probability of transaction status.Then taking the probability distribution as a prior probability,the Bayesian game model of the energy trading among the prosumers in the energy community is established to optimize the process of the energy trading among the prosumers.Finally,an example is given to verify that the proposed model can ensure the privacy of the prosumers while improving the income of the prosumers.
prosumerMarkov chaintransaction identityuncertaintyBayesian game
万方数据
维普
