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Collective target tracking mean field control for electric space heaters

机译:电加热器的总体目标跟踪平均场控制

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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 follows a computed target temperature trajectory. 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 heaters 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, an e-Nash theorem is presented, and numerical simulation results are provided.
机译:作为智能电网中整个系统优化问题的一部分,要求与能量存储相关的大量空间供暖设备的平均温度遵循计算出的目标温度轨迹。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。但是,可能会禁止相应的计算和通信要求。取而代之的是,在本文中,大量加热器的存在证明了采用基于分散平均场控制的方法来解决该问题的合理性。为此目的,使用了一种包含积分项的新型代理商成本结构。开发了相应的平均场方程组,给出了定点分析,给出了电子纳什定理,并提供了数值模拟结果。

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