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Practical Comparison of Aggregate Control Algorithms for Demand Response with Residential Thermostatically Controlled Loads

机译:住宅恒温控制负荷下需求响应的集合控制算法的实践比较

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The fast deployment of renewable energy sources requires an increasing amount of frequency regulation reserves in the electric power system. Residential thermostatically controlled loads are ideal candidates to provide such services due to their thermal inertia, large energy buffers and high power ratings. However, the coordinated control of a large number of appliances represents a large-scale control problem with high computational requirements. To alleviate these needs, several aggregate modelling and control strategies have been developed in the recent literature. This paper compares two aggregate models for frequency regulation with electric water heaters used for domestic hot water: a generalized battery model and a set of representative tracer devices obtained with the cross-entropy method. Under realistic simulation assumptions, it is shown that, whereas the generalized battery model better describes the behavior of a group of electric water heaters, the tracers provide a better prediction of the available flexibility for reserves provision.
机译:可再生能源的快速部署需要电力系统中越来越多的频率调节储备。住宅恒温控制负载因其热惯性,大能量缓冲器和高额定功率而成为提供此类服务的理想选择。然而,大量设备的协调控制代表了具有高计算要求的大规模控制问题。为了减轻这些需求,在最近的文献中已经开发了几种聚合建模和控制策略。本文比较了两种用于生活热水的电热水器的频率调节集合模型:一个通用的电池模型和一组通过交叉熵方法获得的代表性示踪设备。在现实的模拟假设下,可以看出,尽管通用电池模型可以更好地描述一组电热水器的行为,但示踪剂可以更好地预测储备金的可用灵活性。

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