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.
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).
