Analysis and Design of Aggregate Demand Response Systems Based on Controllability
Analysis and Design of Aggregate Demand Response Systems Based on Controllability
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DOI：
10.1587/transfun.2020eap1093
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发表时间：
2021-06
期刊：
影响因子：
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通讯作者：
Kazuhiro Sato;S. Azuma
中科院分区：
文献类型：
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作者：
Kazuhiro Sato;S. Azuma
针对基于可控性的各类用户组成的总需求响应系统的分析和设计问题，便于设计自动需求响应机，安装到用户中，自动响应电价变化。为此，我们引入了一个可控性指标，它表示在选择最优电价时，预期总用电量与电力供应量之间的最坏情况误差。使用该指标的分析问题考虑了在每个消费者的消费特征不固定的情况下，如何最大化整个消费群体的可控性。相反，当群体的一部分的消费特征固定时，设计问题考虑整个消费群体。通过分析问题的解决，我们首先阐明了可控性、所有消费者的平均消费特征以及可选择的电价数量三者之间的关系。特别是，可控性指数的最小值由可选电价的数量确定。接下来，我们证明了设计问题可以通过一个简单的线性优化来解决。数值实验表明，我们的结果能够增加整体消费者群体的可控性。关键词：总需求响应、可控性、实时定价
We address analysis and design problems of aggregate demand response systems composed of various consumers based on controllability to facilitate to design automated demand response machines that are installed into consumers to automatically respond to electricity price changes. To this end, we introduce a controllability index that expresses the worst-case error between the expected total electricity consumption and the electricity supply when the best electricity price is chosen. The analysis problem using the index considers how to maximize the controllability of the whole consumer group when the consumption characteristic of each consumer is not fixed. In contrast, the design problem considers the whole consumer group when the consumption characteristics of a part of the group are fixed. By solving the analysis problem, we first clarify how the controllability, average consumption characteristics of all consumers, and the number of selectable electricity prices are related. In particular, the minimum value of the controllability index is determined by the number of selectable electricity prices. Next, we prove that the design problem can be solved by a simple linear optimization. Numerical experiments demonstrate that our results are able to increase the controllability of the overall consumer group. key words: aggregate demand response, controllability, real-time pricing