Metrics to describe changes in the power system need for demand response resources

IF 5.4 Q2 ENERGY & FUELS
Samanvitha Murthy, Andrew J. Satchwell, Brian F. Gerke
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引用次数: 2

Abstract

Grid decarbonization efforts can benefit significantly from demand response (DR) resources. However, system-level changes that affect the net-load such as increased variable renewable energy (VRE) generation and widespread deployment of energy efficiency (EE) also affect the type, magnitude and timing of DR required to support the grid. In this study, we use publicly available system-level data to define seven metrics to assess how these changes affect system-level shed and shift DR needs. Specifically, there are four metrics for grid conditions when DR has the highest system value and three metrics for DR program design that were developed by considering the magnitude and temporal distribution of net-load. We also develop three stylized load shape profiles illustrating EE measure impacts and one high VRE generation profile to demonstrate the application of these metrics. The results confirm the robustness of the metrics to identify complex interactions between demand-side and supply-side resources that can affect the DR need. Widespread application of our metrics can help system planners and operators be cognizant of such interactions and identify the DR need for the system in a way that can be most valuable.

Abstract Image

描述电力系统对需求响应资源需求变化的指标
电网脱碳工作可以从需求响应(DR)资源中显著受益。然而,影响净负荷的系统级变化,如可变可再生能源(VRE)发电的增加和能源效率(EE)的广泛部署,也会影响支持电网所需的DR的类型、幅度和时间。在本研究中,我们使用公开可用的系统级数据来定义七个指标,以评估这些变化如何影响系统级的转移和转移DR需求。具体来说,当DR具有最高系统值时,有四个指标用于电网条件,三个指标用于DR程序设计,这些指标是通过考虑净负荷的大小和时间分布而开发的。我们还开发了三个风格化的负载形状剖面,说明了EE测量的影响,以及一个高VRE生成剖面,以演示这些指标的应用。结果证实了指标的稳健性,可以识别影响DR需求的需求侧和供给侧资源之间复杂的相互作用。我们的指标的广泛应用可以帮助系统规划者和操作人员认识到这种相互作用,并以最有价值的方式确定系统的DR需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Smart Energy
Smart Energy Engineering-Mechanical Engineering
CiteScore
9.20
自引率
0.00%
发文量
29
审稿时长
73 days
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