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Packetized energy management: Asynchronous and anonymous coordination of thermostatically controlled loads

机译:分组能源管理:恒温控制负载的异步和匿名协调

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Because of their internal energy storage, electrically powered, distributed thermostatically controlled loads (TCLs) have the potential to be dynamically managed to match their aggregate load to the available supply. However, in order to facilitate consumer acceptance of this type of load management, TCLs need to be managed in a way that avoids degrading perceived quality of service (QoS), autonomy, and privacy. This paper presents a real-time, adaptable approach to managing TCLs that both meets the requirements of the grid and does not require explicit knowledge of a specific TCL's state. The method leverages a packetized, probabilistic approach to energy delivery that draws inspiration from digital communications. We demonstrate the packetized approach using a case-study of 1000 simulated water heaters and show that the method can closely track a time-varying reference signal without noticeably degrading the QoS. In addition, we illustrate how placing a simple ramp-rate limit on the aggregate response overcomes synchronization effects that arise under prolonged peak curtailment scenarios.
机译:由于其内部能量存储,电动,分布式恒温控制负载(TCL)可以动态管理,以使其总负载与可用电源相匹配。但是,为了促进消费者接受这种类型的负载管理,需要以避免降低感知的服务质量(QoS),自治性和私密性的方式来管理TCL。本文提出了一种实时,可调整的方法来管理TCL,这些方法既满足网格的要求,又不需要明确了解特定TCL的状态。该方法利用分组化概率方法进行能量传输,该方法从数字通信中汲取了灵感。我们使用1000个模拟热水器的案例研究演示了分组化方法,并表明该方法可以密切跟踪随时间变化的参考信号,而不会显着降低QoS。此外,我们说明了如何在汇总响应上设置简单的斜坡速率限制,以克服在延长峰值削减情景下出现的同步效应。

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