Mean field based control of power system dispersed energy storage devices for peak load relief

Mean field based control of power system dispersed energy storage devices for peak load relief
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电力系统分散储能装置的平均场控制以缓解高峰负荷

DOI:
10.1109/cdc.2013.6760669
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发表时间:
2013
期刊:
52nd IEEE Conference on Decision and Control
影响因子:
--
通讯作者:
R. Malhamé
R. Malhamé
中科院分区:
--
文献类型:
--
作者:
A. Kizilkale;R. Malhamé

文献摘要

被引文献

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研究了需求响应问题,其中需要大量与储能相关的电子设备(例如电热水器、电热水器等)的平均温度。遵循作为智能电网系统范围优化问题的一部分计算的目标温度轨迹。经典的控制方法是集中计算每个设备所需的信号并发送该信号。然而,相应的计算和通信要求可能是令人望而却步的。相反,在本文中,大量这样的装置的存在证明了使用基于分散平均场控制的方法来解决该问题是合理的。为此,使用了一种包括积分项的新型代理成本结构。建立了相应的平均场方程组,对一种特殊情况进行了不动点分析,给出了ε-Nash定理,并给出了数值模拟结果。
The demand response problem is investigated where it is required that the mean temperature of a massive number of electric devices associated with energy storage (e.g. electric water heaters, electric space heaters, etc.) follow a target temperature trajectory computed as part of a system wide optimization problem in smart grids. The classical control approach is to compute the required signal centrally for each device and to send that signal. However, the corresponding computational and communication requirements can be forbidding. Instead, in this paper the presence of large numbers of such devices justifies the use of a decentralized mean field control based approach to the problem. A novel agent cost structure including an integral term is utilized for this purpose. The corresponding system of mean field equations is developed, a fixed point analysis is given for a particular case, an ε-Nash theorem is presented, and numerical simulation results are provided.