Multi-agent Low-Carbon Energy Management Methods Of Park Based On Peer-to-Peer Energy-Carbon Sharing

The access of distributed energy and intelligent equipment promotes the transformation of traditional power users into prosumers with both production and consumption capacity,which also bring challenges to the intelligent power distribution systems optimal operation.The electricity production and consumption activities of prosumers generate a large amount of carbon,which hinders the low-carbon green transformation of the distribution grid.At the present stage,due to the output characteristics of renewable energy,the continuous growth of electricity demand,the deep peak regulation of thermal power,there is still a large amount of carbon on the source side of the power system that cannot be reduced temporarily.Therefore,tapping the carbon emission reduction potential of prosumers is an effective means to raise the ceiling of carbon emission reduction in the power system.In this paper,we focus on the peer-to-peer(P2P)energy-carbon sharing framework to study the multiagent low-carbon energy management methods in parks.It aims to encourage the prosumers to actively participate in carbon emission reduction and achieve the goals of strategic balance,low carbon and benefit maximization.The main research contents are as follows:(1)From the perspective of coupling energy and carbon flow,a P2P energy-carbon sharing framework is constructed for different game application boundary scenarios,including leader-follower non-cooperative game and noncooperative game with stochasticity.The strategy choices of prosumers in the process of energy-carbon sharing under different game scenarios are specifically analyzed,the theoretical basis of the model related to energy-carbon sharing is studied,and the carbon reduction capacity and energy consumption rate of the low-carbon management method of the park are analyzed by combining the weighted average carbon intensity of the park nodes and the carbon intensity calculation standard of prosumers.(2)In order to address the P2P energy-carbon sharing problem with the participation of operators,a leader-follower non-cooperative game based multiagent energy-carbon sharing mechanism in the park is studied.Firstly,we introduce the energy-carbon sharing business model for prosumers.Through the optimal energy-carbon pricing model,the operator leads the prosumers to participate in the energy-carbon sharing transaction internally,and clears the imbalanced energy and carbon quota externally to obtain the maximum benefit.In the sharing process,the energy and carbon allowances of prosumers are remitted to the energy pool and carbon pool of the park,and the carbon emission costs of prosumers are accounted for by the weighted average carbon intensity of the park nodes.The proposed method can further optimize the park benefits and reduce the carbon emissions on the basis of pure energy sharing.(3)For the P2P energy-carbon sharing problem of operators as third-party sharing service providers,a collaborative energy-carbon optimization method based on the stochastic game in the park with multi-agent is studied.This paper firstly selects the priority sharing object of the prosumers through a graphtheoretic matching model combining physical-social-environmental preferences adaptively.,then builds a stochastic game model of energy-carbon sharing combining the matching process,calculates the carbon intensity of the prosumers,and proposes a two-stage optimization solution algorithm to realize the optimization of energy sharing and carbon trading.The results of the algorithm show that in the energy-carbon sharing scenario with captive power plants,the method can motivate the prosumers to choose cleaner energy sources,visualize the energy flow-carbon flow interaction process,and finally realize the optimal management of low-carbon energy for prosumers.