Paper Info
Title
An Analysis of Customer Power Profile Events for Non-invasive Energy Meter Error Monitoring
Abstract
In this paper, a statistical analysis of low voltage customers' load power profiles is carried out aiming to suggest a remote non-invasive energy meter error monitoring technique. The synthesized open access 1 s resolution load power profiles are used for the analysis. A detection procedure for power steps in a sampled load power profile is defined. Power steps are classified into overlapping and non-overlapping. It is shown that the probability distribution function of the differences of power step magnitudes acquired by a meter under test and a reference sum meter is sensitive to the errors of the meter despite the presence of overlapping power steps at other meters in the grid. A noninvasive error monitoring technique is found possible by acquiring, comparing and statistically processing simultaneous power steps at the energy meter under monitoring and reference sum meter.
Year
DOI
Venue
2019
10.1109/AMPS.2019.8897778
2019 IEEE 10th International Workshop on Applied Measurements for Power Systems (AMPS)
Keywords
Field
DocType
power measurement,remote monitoring,watthour meters,time series analysis
Time series,Metre,Electronic engineering,Metre (music),Low voltage,Engineering,Electricity meter,Probability density function,Grid,Statistical analysis
Conference
ISSN
ISBN
Citations 
2473-1315
978-1-7281-0076-0
0
PageRank 
References 
Authors
0.34
2
4
Name
Order
Citations
PageRank
Zilvinas Nakutis147.30
Stefano Rinaldi200.34
Pranas Kuzas300.34
Robertas Lukočius421.17