By Topic

Modeling approach based on experimental results for prediction of measurement errors in energy meters

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Flávio A. S. Gonçalves ; UNESP - Campus Ilha Solteira Av. Brasil Centro, 56, CEP 15385-000, Ilha Solteira - SP - Brazil ; Carlos A. Canesin ; João O. P. Pinto ; Luigi Galotto
more authors

This paper presents a general modeling approach to investigate and to predict measurement errors in active energy meters both induction and electronic types. The measurement error modeling is based on generalized additive model (GAM), ridge regression method and experimental results of meter provided by a measurement system. The measurement system provides a database of 26 pairs of test waveforms captured in a real electrical distribution system, with different load characteristics (industrial, commercial, agricultural, and residential), covering different harmonic distortions, and balanced and unbalanced voltage conditions. In order to illustrate the proposed approach, the measurement error models are discussed and several results, which are derived from experimental tests, are presented in the form of three-dimensional graphs, and generalized as error equations.

Published in:

2009 Brazilian Power Electronics Conference

Date of Conference:

Sept. 27 2009-Oct. 1 2009