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Multi-Resolution Large Population Stochastic Differential Games and Their Application to Demand Response Management in the Smart Grid

机译:多分辨率大人口随机差动游戏及其在智能电网中要求响应管理的应用

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Dynamic demand response (DR) management is becoming an integral part of power system and market operational practice. Motivated by the smart grid DR management problem, we propose a multi-resolution stochastic differential game-theoretic framework to model the players' intra-group and inter-group interactions in a large population regime. We study the game in both risk-neutral and risk-sensitive settings, and provide closed-form so- lutions for symmetric mean-field responses in the case of homogeneous group populations, and characterize the symmetric mean-field Nash equilibrium using the Hamilton-Jacobi- Bellman (HJB) equation together with the Fokker-Planck-Kolmogorov (FPK) equation. Fi- nally, we apply the framework to the smart grid DR management problem and illustrate with a numerical example.
机译:动态需求响应(DR)管理正在成为电力系统和市场业务实践的一个组成部分。 通过智能电网博士管理问题的动机,我们提出了一个多分辨率随机差分游戏理论框架,以模拟播放器内部的群体和群体间的互动。 我们在风险中性和风险敏感的环境中研究游戏,并为同质组群的情况下为对称平均场响应提供闭合形式的调节,并使用汉密尔顿的对称平均场纳什均衡来表征对称平均纳入平衡 Jacobi-Bellman(HJB)方程与Fokker-Planck-Kolmogorov(FPK)方程一起。 ally,我们将框架应用于智能电网DR管理问题,并用数字示例说明。

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