A class of collective target tracking problems in energy systems: Cooperative versus non-cooperative mean field control solutions

A. Kizilkale, R. Malhamé
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引用次数: 13

Abstract

As part of a system wide optimization problem in smart grids it is required that the mean temperature of a massive number of space heating devices associated with energy storage follow a precomputed target temperature trajectory. The classical control approach is to evaluate the required signal centrally for each device and to send that signal. However, the corresponding computational and communication requirements can be forbidding. In previous work [1] an integral error based decentralized mean field control approach was followed, the corresponding system of mean field equations was developed, and an ∈-Nash theorem was presented. In this work a cooperative mean field formulation [2] is utilized whereby the resulting set of strategies asymptotically achieves the social optimum as N → ∞. The corresponding system of mean field equations is developed, an ∈-Nash theorem is presented, and numerical simulations are provided for comparing results based on the two approaches.
能源系统中一类集体目标跟踪问题:合作与非合作平均场控制解
作为智能电网系统范围优化问题的一部分,要求与储能相关的大量空间加热设备的平均温度遵循预先计算的目标温度轨迹。经典的控制方法是集中评估每个设备所需的信号并发送该信号。然而,相应的计算和通信需求可能令人望而生畏。前人[1]采用基于积分误差的分散平均场控制方法,建立了相应的平均场方程组,并提出了一个∈-Nash定理。在这项工作中,使用了一个合作平均场公式[2],由此产生的策略集渐近地达到N→∞的社会最优。建立了相应的均场方程组,提出了一个∈-Nash定理,并通过数值模拟对两种方法的结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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