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Calculating power distribution system reliability indexes from Smart Meter data

机译:根据智能电表数据计算配电系统可靠性指标

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摘要

Electricity is an integral utility in modern society. Electricity networks carry power to various end users, and disruptions cause high socioeconomic cost. Electricity distribution network operators are ranked predominantly on system performance, economic performance and customer satisfaction. System reliability has an impact on all of the above mentioned indicators. High and medium voltage networks are covered with sensors allowing to calculate accurate reliability indexes. Low voltage (LV) grid sensor coverage is yet insufficient, but modern Smart Meters add functionality to gather necessary grid characteristics. Data from various meters can be combined to continuously generate indexes that depict state of the LV network. Calculated indexes enable to prioritize system faults and proactively correct shortcomings of the grid. This paper presents a method to calculate temporospatially disaggregated reliability indexes on all major levels of the LV network which on demand depicts detailed performance assessment of the grid.
机译:电力是现代社会不可或缺的工具。电网将电力输送给各种最终用户,中断会导致很高的社会经济成本。配电网络运营商在系统性能,经济性能和客户满意度方面排名最高。系统可靠性会影响所有上述指标。高压和中压网络覆盖有传感器,可以计算出准确的可靠性指标。低压(LV)网格传感器的覆盖范围还不够,但是现代的智能电表增加了收集必要网格特征的功能。可以组合来自各种仪表的数据以连续生成描述LV网络状态的索引。计算得出的索引可以确定系统故障的优先级,并主动纠正电网的缺陷。本文提出了一种方法,可在LV网络的所有主要级别上计算时空分解的可靠性指标,该方法可按需描述电网的详细性能评估。

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