Scalable Residential Demand Response Management
Scalable Residential Demand Response Management
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DOI：
10.1109/access.2021.3119270
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发表时间：
2021
期刊：
影响因子：
3.9
通讯作者：
Pramod Herath;G. Venayagamoorthy
中科院分区：
文献类型：
--
作者：
Pramod Herath;G. Venayagamoorthy
在本文中，引入了基于居民需求响应（DR）的层次结构的可扩展框架。方式。完全并行执行，在优化时间内增加更多的房屋，因此可以扩展计算，因为在物理功率系统的层次结构上的架构叠加也可以集成为优化问题。还引入了指标，以量化DR计划的成功，绩效之间的平衡，DR计划的参与者数量以及对消费者的压力由于对DR管理的优化提出的方法的可伸缩性成功模拟了一百万个房屋需求响应计划，并提出了典型的结果。
In this paper, a scalable framework based on a hierarchical architecture for residential demand response (DR) is introduced. The architecture, which overlays the physical architecture of the power system, allows to decompose the problem into several parts and solve it in a distributed manner. The computational time required to solve the DR optimization problem by this framework is shown to be only dependent on the number of levels in the hierarchical architecture. Hence, when the demand response computation is carried out entirely in parallel, adding more homes to the optimization does not add to the optimization time, thus making the computation scalable. Moreover, since the architecture overlays on the hierarchy of the physical power system, each node’s physical constraints can also be integrated into the optimization problem. Additionally, metrics are introduced to quantify the DR program’s success, balancing between the performance, the number of participants in the DR program as well as the stress on the consumer due to the optimization. For DR management, the consumer comfort as well as the demand response target is considered. The generated schedule can be carried out as a direct load control by the demand response aggregator or through a home energy management system. To demonstrate the scalability of the proposed method a one million home demand response program is successfully simulated and typical results are presented.