利用智能配电网测量数据进行非技术损耗检测

Y. Lo, Shih-Che Huang, Chan-nan Lu
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引用次数: 20

摘要

如今,配电系统运营商配备了来自SCADA,智能电子设备(IED),自动抄表(AMR)和先进计量基础设施(AMI)系统的许多实时运行数据。从AMI系统中获取的用户和变压器在不同时间间隔内的负荷数据为开发配电状态估计(DSE)算法提供了机会。DSE是许多智能分发应用程序的推动者。本文提出了一种基于离散元分析的电力使用潜在不规律的准实时搜索方法。该方法可用于降低配电网的非技术损耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Non-technical loss detection using smart distribution network measurement data
Nowadays distribution system operators are equipped with many real time operation data from SCADA, intelligent electronics devices (IED), automatic meter reading (AMR) and advanced metering infrastructure (AMI) systems. Customer and transformer loading data obtained from AMI system at different time intervals give an opportunity to develop a distribution state estimation (DSE) algorithm. DSE is enabler of many smart distribution applications. In this paper, a DSE based quasi real time search for potential irregularity of electricity usage is presented. The proposed approach can be used to reduce non-technical loss in the distribution network.
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