A Stochastic Approach to “Dynamic-Demand” Refrigerator Control
A Stochastic Approach to “Dynamic-Demand” Refrigerator Control
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DOI：
10.1109/tcst.2011.2141994
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发表时间：
2012-05
影响因子：
4.8
通讯作者：
D. Angeli;P. Kountouriotis
中科院分区：
文献类型：
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作者：
D. Angeli;P. Kountouriotis
动态需求管理是提高电力系统弹性的一个非常有前途的研究方向。本文考虑的问题，管理功耗的“智能”的家用冰箱的温度控制。在这种方法中，这些电器的操作温度以及因此它们的能量消耗响应于电源频率波动而在安全范围内被动态地修改。以前的研究已经强调了这种想法在应对电厂突然停电方面的潜力。然而，确定性的控制方案已被证明是不够的，因为各个电器往往“同步”彼此，导致不可接受的水平的能量需求过冲，当他们“恢复”他们的稳态操作周期。在本文中，我们设计的分散随机控制器，能够应对突然停电，并避免与其他反馈策略相关的不稳定现象。随机性用于实现单个冰箱的去电化，同时保持整体功耗严格调节。
Dynamic demand management is a very promising research direction for improving power system resilience. This paper considers the problem of managing power consumption by means of “smart” thermostatic control of domestic refrigerators. In this approach, the operating temperature of these appliances and thus their energy consumption, is modified dynamically, within a safe range, in response to mains frequency fluctuations. Previous research has highlighted the potential of this idea for responding to sudden power plant outages. However, deterministic control schemes have proved inadequate as individual appliances tend to “synchronize” with each other, leading to unacceptable levels of overshoot in energy demand, when they “recover” their steady-state operating cycles. In this paper we design decentralized random controllers that are able to respond to sudden plant outages and which avoid the instability phenomena associated with other feedback strategies. Stochasticity is used to achieve desynchronization of individual refrigerators while keeping overall power consumption tightly regulated.