用于非技术损失检测的工具

H. Bludszuweit, N. Y. Yürüşen, Pablo López Pérez, D. Martínez-López
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引用次数: 0

摘要

本文介绍了一种用于检测非技术损失的工具,该工具正在欧洲INTERPRETER项目中开发。该工具采用基于智能电表数据特征检测和网格模型分析的混合方法。本文侧重于网格模型分析,其中网格模型(数字孪生)与低压试点现场实际测量值之间的电压偏差进行了评估。智能电表的能量测量值代表每小时的平均功率,而电压测量值是瞬时的,时间间隔不均匀。因此,测量是不同步的,这对网格分析提出了主要挑战。该方法主要关注日平均、最小和最大电压,结果表明,日最小电压的偏差是最有用的偏差。开发热图,帮助DSO专家在一定时间间隔(1天时间步长)内快速概述所有仪表的所有偏差。已确定将在6个地点进行实地视察。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
INTERPRETER – Tool for non-technical losses detection
This article presents a tool for the detection of non-technical losses, which is being developed within the European INTERPRETER project. The tool employs a hybrid method based on feature detection from smart meter data and grid model analysis. This paper focuses on the grid model analysis, where voltage deviations between the grid model (digital twin) and real-world measurements at a low-voltage pilot site have been evaluated. Energy measurements from smart meters represent hourly mean power, while voltage measurements are instantaneous with uneven time intervals. Thus, measurements are not synchronous, which poses a major challenge for grid analysis. The proposed method focuses on daily mean, minimum, and maximum voltage and results show that deviations in daily minimum voltage are the most useful ones. A heatmap is developed, which helps the DSO expert to have a quick overview of all deviations of all meters in a certain time interval (1-day time step). A total of 6 locations have been identified where field inspections will be done.
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