论文标题

数据驱动的负载轮廓和住宅电力消费的动态

Data-Driven Load Profiles and the Dynamics of Residential Electric PowerConsumption

论文作者

Anvari, Mehrnaz, Proedrou, Elisavet, Schaefer, Benjamin, Beck, Christian, Kantz, Holger, Timme, Marc

论文摘要

功耗的动力构成了基于可再生能源供应的计划和操作能源系统的重要组成部分。对可再生能源产生动态的变化进行了充分的研究,但对消费动态的短期和长期变化有更深入的了解。在这里,我们分析了奥地利和德国家庭的高度解决的住宅电力消耗数据,并提出了一种普遍适用的方法,用于提取平均需求概况和需求波动,纯粹是从时间序列数据中提取的。分析表明,单个家庭的需求波动是偏斜的,并且始终如一地间歇性。我们引入了一个随机模型,以定量捕获这种现实世界的波动。该分析表明,广泛使用的标准负载曲线(SLP)可能不足以描述观察到的关键特征。这些结果可以更好地了解需求动态,尤其是其波动,并为任何给定系统提供了一般的工具,以解散平均需求和波动。对需求动态的见解可能支持计划和操作未来符合人(微型)网格,以维持供需平衡。

The dynamics of power consumption constitutes an essential building block for planning and operating energy systems based on renewable energy supply. Whereas variations in the dynamics of renewable energy generation are reasonably well studied, a deeper understanding of short and long term variations in consumption dynamics is still missing. Here, we analyse highly resolved residential electricity consumption data of Austrian and German households and propose a generally applicable methodology for extracting both the average demand profiles and the demand fluctuations purely from time series data. The analysis reveals that demand fluctuations of individual households are skewed and consistently highly intermittent. We introduce a stochastic model to quantitatively capture such real-world fluctuations. The analysis indicates in how far the broadly used standard load profile (SLP) may be is insufficient to describe the key characteristics observed. These results offer a better understanding of demand dynamics, in particular its fluctuations, and provide general tools for disentangling mean demand and fluctuations for any given system. The insights on the demand dynamics may support planning and operating future-compliant (micro) grids in maintaining supply-demand balance.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源