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Multi-agent Distribution Network Planning Based on Evolution Game

2023 Panda Forum on Power and Energy (PandaFPE)(2023)

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Abstract
Under the background of power market reform, microgrid investors has changed from the traditional single agent to multi-agents. However, the conflict of interest among multiple investment agents is difficult to balance, and traditional methods are not applicable. Therefore, An multi-agent evolution game is introduced to the game between bounded rational agents. Finally, the paper compares the evolutionary game algorithm with the particle swarm optimization algorithm which is based on the practical example of IEEE-37 bus system, and the experiment proved that the evolutionary game method finally achieved a better multi-agent benefit distribution effect.
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Key words
multiagent,evolutionary game theory,optimal power flow,microgrid investment
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