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智能计量系统优化以减少非技术损耗并改善电力行业的用电记录操作。

Smart Metering Systems Optimization for Non-Technical Losses Reduction and Consumption Recording Operation Improvement in Electricity Sector.

机构信息

Electricity Distribution Company Mures Branch, S.D.E.E. Transilvania Sud S.A., Târgu Mureș 540320, Romania.

Department of Electrical Engineering and Information Technology, "George Emil Palade" University of Medicine, Pharmacy, Science and Technology of Targu Mures, Târgu Mureș 540088, Romania.

出版信息

Sensors (Basel). 2020 May 22;20(10):2947. doi: 10.3390/s20102947.

Abstract

One of the keys of enhancing the quality of electric power supply resides in the accuracy of the consumption metering. Nowadays development of the sensors, devices and systems for electricity metering offers the basis for this service. Nevertheless, this achievement in many situations is altered such that appropriate measures must be adopted even if already significant costs have been registered. In this paper is proposed and discussed an optimal solution based on the identification and minimizing the measurement errors for increasing the electricity readings accuracy and lowering the electricity losses and related costs. In this regard, a mathematical model was developed and a particular algorithm for the mentioned problem is proposed and tested in the case of a power distribution company where an enhancement on average of the own technological consumption with 4% was recorded.

摘要

提高供电质量的关键之一在于用电计量的准确性。如今,电能计量传感器、装置和系统的发展为此服务提供了基础。然而,在许多情况下,这一成就被改变了,因此即使已经登记了相当大的成本,也必须采取适当的措施。本文提出并讨论了一种基于识别和最小化测量误差的最优解决方案,以提高电能读数的准确性,降低电能损耗和相关成本。为此,开发了一个数学模型,并针对所提到的问题提出并测试了一个特定的算法,该算法应用于一家配电公司,该公司的自有技术消耗平均提高了 4%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a396/7288004/b17efc55dc43/sensors-20-02947-g001.jpg

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