Research on decision-making behavior of multi-agent alliance in cross-border electricity market environment: an evolutionary gameOACSTPCDEI
Constructing a cross-border power energy system with multiagent power energy as an alliance is important for studying cross-border power-trading markets.This study considers multiple neighboring countries in the form of alliances,introduces neighboring countries’exchange rates into the cross-border multi-agent power-trading market and proposes a method to study each agent’s dynamic decision-making behavior based on evolutionary game theory.To this end,this study uses three national agents as examples,constructs a tripartite evolutionary game model,and analyzes the evolution process of the decision-making behavior of each agent member state under the initial willingness value,cost of payment,and additional revenue of the alliance.This research helps realize cross-border energy operations so that the transaction agent can achieve greater trade profits and provides a theoretical basis for cooperation and stability between multiple agents.
Zhao Luo;Chenming Dong;Xinrui Dai;Hua Wang;Guihong Bi;Xin Shen
Faculty of Electric Power Engineering,Kunming University of Science and Technology,Kunming,650500,P.R.ChinaFaculty of Electric Power Engineering,Kunming University of Science and Technology,Kunming,650500,P.R.ChinaFaculty of Electric Power Engineering,Kunming University of Science and Technology,Kunming,650500,P.R.ChinaFaculty of Metallurgical and Energy Engineering,Kunming University of Science and Technology,Kunming,650500,P.R.ChinaFaculty of Electric Power Engineering,Kunming University of Science and Technology,Kunming,650500,P.R.ChinaMeasurement Center of Yunnan Power Grid Co.,Ltd.,Kunming,650051,P.R.China
经济学
Multi-agent allianceCross-border transactionsElectricity marketEvolutionary gameDecision-making
《Global Energy Interconnection》 2024 (6)
P.707-722,16
National Key R&D Program of China(Grant No.2022YFB2703500)National Natural Science Foundation of China(Grant No.52277104)National Key R&D Program of Yunnan Province(202303AC100003)Applied Basic Research Foundation of Yunnan Province (202301AT070455, 202101AT070080)Revitalizing Talent Support Program of Yunnan Province (KKRD202204024).
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