1. Research on decision-making behavior of multi-agent alliance in cross-border electricity market environment: an evolutionary game
- Author
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Zhao Luo, Chenming Dong, Xinrui Dai, Hua Wang, Guihong Bi, and Xin Shen
- Subjects
Multi-agent alliance ,Cross-border transactions ,Electricity market ,Evolutionary game ,Decision-making ,Energy conservation ,TJ163.26-163.5 ,Energy industries. Energy policy. Fuel trade ,HD9502-9502.5 - Abstract
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.
- Published
- 2024
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