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Detecting residential power peaks for innovative tariff designs: A living lab experiment
Energy and Buildings ( IF 6.6 ) Pub Date : 2025-01-22 , DOI: 10.1016/j.enbuild.2025.115350
Thorben Sandmeier, Leandra Scharnhorst, Johanna Geis-Schroer, Armin Ardone, Thomas Leibfried, Wolf Fichtner
Energy and Buildings ( IF 6.6 ) Pub Date : 2025-01-22 , DOI: 10.1016/j.enbuild.2025.115350
Thorben Sandmeier, Leandra Scharnhorst, Johanna Geis-Schroer, Armin Ardone, Thomas Leibfried, Wolf Fichtner
As smart meters become increasingly prevalent in private households, the availability of high-resolution electricity load profiles creates new opportunities for innovative electricity tariffs. Already established in industry, innovative tariffs could consider power consumption in order to monitor and maintain grid stability. This study explores the crucial role of time granularity in detecting power peaks, which are frequently missed when using coarse temporal intervals, such as 15 minutes. Through the analysis of high-resolution electricity load data from a living lab experiment, this research aims to determine the sampling rate necessary for accurately detecting power peaks. Our findings indicate that a sampling rate of 1 minute generally allows for effective peak identification, while certain cases necessitate even higher sampling rates, such as 10 to 5 seconds, to account for brief yet intense power peaks. This highlights the importance of employing a high sampling rate in the design of electricity tariffs that incorporate peak power consumption from households. Moreover, our study demonstrates that the temporal resolution of sampled data significantly impacts the accurate detection of temporary load unbalance, further emphasizing the novelty and significance of considering time granularity in smart meter data analysis.
中文翻译:
检测住宅用电峰值以创新电价设计:生活实验室实验
随着智能电表在私人家庭中越来越普遍,高分辨率电力负荷曲线的可用性为创新电价创造了新的机会。创新的电价已经在工业界确立,可以考虑电力消耗,以监测和维护电网稳定性。本研究探讨了时间粒度在检测功率峰值方面的关键作用,在使用粗略的时间间隔(如 15 分钟)时,功率峰值经常会丢失。通过分析来自生活实验室实验的高分辨率电力负载数据,本研究旨在确定准确检测功率峰值所需的采样率。我们的研究结果表明,1 分钟的采样率通常可以有效地识别峰值,而在某些情况下需要更高的采样率,例如 10 到 5 秒,以解释短暂而强烈的功率峰值。这凸显了在考虑家庭峰值用电的电价设计中采用高采样率的重要性。此外,我们的研究表明,采样数据的时间分辨率显着影响了临时负载不平衡的准确检测,进一步强调了在智能电表数据分析中考虑时间粒度的新颖性和重要性。
更新日期:2025-01-22
中文翻译:
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检测住宅用电峰值以创新电价设计:生活实验室实验
随着智能电表在私人家庭中越来越普遍,高分辨率电力负荷曲线的可用性为创新电价创造了新的机会。创新的电价已经在工业界确立,可以考虑电力消耗,以监测和维护电网稳定性。本研究探讨了时间粒度在检测功率峰值方面的关键作用,在使用粗略的时间间隔(如 15 分钟)时,功率峰值经常会丢失。通过分析来自生活实验室实验的高分辨率电力负载数据,本研究旨在确定准确检测功率峰值所需的采样率。我们的研究结果表明,1 分钟的采样率通常可以有效地识别峰值,而在某些情况下需要更高的采样率,例如 10 到 5 秒,以解释短暂而强烈的功率峰值。这凸显了在考虑家庭峰值用电的电价设计中采用高采样率的重要性。此外,我们的研究表明,采样数据的时间分辨率显着影响了临时负载不平衡的准确检测,进一步强调了在智能电表数据分析中考虑时间粒度的新颖性和重要性。