Assessing the influence of the aggregation level of residential consumers through load duration curves

R. Claeys, Thijs Delerue, J. Desmet
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引用次数: 3

Abstract

Residential electricity consumers at present pose a major challenge to simulate due to their inherent stochastic nature. However, as this sector represents approximately one fourth of the total electricity consumption across the European Union, it is necessary to gain more insight in their consumption, both on an individual as well as on an aggregated level. In this work, we propose the use of load duration curves (LDCs) to characterize residential consumers. We construct LDCs for individual as well as artificially aggregated groups of residential consumers, and present how these LDCs can lead to a better understanding of what influence the aggregation level has on key characteristics of the consumption profile, how aggregation affects the height and duration of the peak demand, and what inherent trade-offs are present at higher aggregation levels.
通过负荷持续时间曲线评估住宅用户聚集水平的影响
目前,住宅用电用户由于其固有的随机性,给模拟带来了很大的挑战。然而,由于该行业约占整个欧盟总用电量的四分之一,因此有必要对其消费情况进行更深入的了解,无论是在个人层面还是在总体层面。在这项工作中,我们建议使用负荷持续时间曲线(ldc)来表征住宅消费者。我们为个人和人为聚集的住宅消费者群体构建了最不发达国家,并介绍了这些最不发达国家如何能够更好地理解聚集水平对消费概况的关键特征的影响,聚集如何影响高峰需求的高度和持续时间,以及在更高的聚集水平上存在哪些固有的权衡。
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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