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作 者:Zhao Luo Chenming Dong Xinrui Dai Hua Wang Guihong Bi Xin Shen
机构地区:[1]Faculty of Electric Power Engineering,Kunming University of Science and Technology,Kunming,650500,P.R.China [2]Faculty of Metallurgical and Energy Engineering,Kunming University of Science and Technology,Kunming,650500,P.R.China [3]Measurement Center of Yunnan Power Grid Co.,Ltd.,Kunming,650051,P.R.China
出 处:《Global Energy Interconnection》2024年第6期707-722,共16页全球能源互联网(英文版)
基 金: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).
摘 要: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.
关 键 词:Multi-agent alliance Cross-border transactions Electricity market Evolutionary game DECISION-MAKING
分 类 号:F416.61[经济管理—产业经济] TM73[电气工程—电力系统及自动化] O225[理学—运筹学与控制论]
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