Effects of Environmental and Electrical Factors on Metering Error and Consistency of Smart Electricity Meters
Source abstract
Abstract
The smart electricity meter (SEM) is an important part of smart power grid, and the accuracy of SEMs is the basis for power grid operation control and trade settlement between power supply and electricity consumption, but the evolution behaviors of metering error of SEMs under field operation conditions have not yet been identified. The SEMs were installed and operated on site, metering error data were collected under various temperature and current conditions. The influences of current, power coefficient, and temperature on metering error and consistency were analyzed separately with the help of quadratic polynomials, and then an integrated model elaborating the joint effects of multi-stress was developed based on a binary quadratic polynomial. We find that a lower temperature and a larger current result in a higher metering error of SEMs; however, the effects of current on metering error are determined by power coefficients. The results have reference value for remote metrological verification, error monitoring, and the optimization of the operation and maintenance scheme of SEMs.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Electricity Theft Detection Techniques · Smart Grid Energy Management · Thermal Analysis in Power Transmission
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Institute of Metrology, China Electric Power Research Institutes, Beijing 100192, China
Yantai Dongfang Wisdom Electric Co., Ltd., Yantai 264003, China
Institute of Sensor and Reliability Engineering, Harbin University of Science and Technology, Harbin 150080, China
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