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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.
electricity sensor, metering device, TP1-1185, Biochemistry, misconduct electricity usage, Article, Analytical Chemistry, Electrical and Electronic Engineering, smart grid, Instrumentation, electricity consumption measuring, Chemical technology, Atomic and Molecular Physics, and Optics, optimization, MAG: Service (systems architecture), MAG: Computer science, MAG: Quality (business), MAG: Metering mode, MAG: Consumption (economics), MAG: Reliability engineering, MAG: Identification (information), MAG: Smart grid, MAG: Electricity, MAG: Electric power
electricity sensor, metering device, TP1-1185, Biochemistry, misconduct electricity usage, Article, Analytical Chemistry, Electrical and Electronic Engineering, smart grid, Instrumentation, electricity consumption measuring, Chemical technology, Atomic and Molecular Physics, and Optics, optimization, MAG: Service (systems architecture), MAG: Computer science, MAG: Quality (business), MAG: Metering mode, MAG: Consumption (economics), MAG: Reliability engineering, MAG: Identification (information), MAG: Smart grid, MAG: Electricity, MAG: Electric power
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 15 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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