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Open AccessArticle

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

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Electricity Distribution Company Mures Branch, S.D.E.E. Transilvania Sud S.A., Târgu Mureș 540320, Romania
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Department of Electrical Engineering and Information Technology, “George Emil Palade” University of Medicine, Pharmacy, Science and Technology of Targu Mures, Târgu Mureș 540088, Romania
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Authors to whom correspondence should be addressed.
Sensors 2020, 20(10), 2947; https://doi.org/10.3390/s20102947
Received: 18 April 2020 / Revised: 15 May 2020 / Accepted: 20 May 2020 / Published: 22 May 2020
(This article belongs to the Section Physical Sensors)
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. View Full-Text
Keywords: electricity sensor; smart grid; metering device; optimization; electricity consumption measuring; misconduct electricity usage electricity sensor; smart grid; metering device; optimization; electricity consumption measuring; misconduct electricity usage
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MDPI and ACS Style

Vlasa, I.; Gligor, A.; Dumitru, C.-D.; Iantovics, L.B. Smart Metering Systems Optimization for Non-Technical Losses Reduction and Consumption Recording Operation Improvement in Electricity Sector. Sensors 2020, 20, 2947.

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