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Microgrid Energy Management System Optimization using Game Theory

机译:基于博弈论的微电网能源管理系统优化

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This paper presents an interactive algorithm based on game theory for optimizing an energy management system (EMS) of a microgrid. As agents in game, load, storage and energy resources adopt an individual strategy and through a potential game, they are able to reach a Nash Equilibrium. Results show energy dispatch for four different agents conditions, including exclusion of one of the energy sources to emulate plug and play behavior. Availability and ease to change parameters for agents in proposed algorithm allows users tune it for several different conditions, achieving a useful tool for energy management in a microgrid.
机译:本文提出了一种基于博弈论的交互式算法,用于优化微电网的能源管理系统(EMS)。随着游戏,负载,存储和能源中的代理采取个体策略,并通过潜在的游戏,他们能够达到纳什均衡。结果显示了针对四种不同代理条件的能量分配,包括排除了一种能源来模拟即插即用行为。所提出算法中代理的可用性和易于更改的参数允许用户针对几种不同条件进行调整,从而实现了微电网中能源管理的有用工具。

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