1. Waveform model to characterize time-domain pulses resulting in EMI on static energy meters
- Author
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ten Have, Bas, Azpúrua Auyanet, Marco Aurelio, Hartman, Tom, Pous Solà, Marc, Moonen, Niek, Silva Martínez, Fernando, Leferink, F., Universitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica, and Universitat Politècnica de Catalunya. IEB - Instrumentació Electrònica i Biomèdica
- Subjects
time-domain ,waveform model ,nonlinear ,static energy meters ,Interferència electromagnètica ,Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica [Àrees temàtiques de la UPC] ,Electromagnetic interference (EMI) ,metering errors - Abstract
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This article presents a time-domain waveform model developed to characterize pulsed, nonlinear, current waveforms resulting in electromagnetic interference on static energy meters. The waveform model is calculated by fitting the sampled waveform data into a linear piece-wise function through a process that involves applying algorithms of pulse extraction, change-point detection, and redundancy elimination. The model is applied to data from laboratory experiments that have indicated critical current waveforms resulting in electromagnetic interference problems with static meters. Afterwards, the parameters of the modeled waveforms are calculated in order to correlate them to metering errors. The most relevant parameters that are correlated to significant errors are the maximum slope, crest factor, pulse duration, and charge. The waveform model provides an accurate description of the complex nonlinear waveforms through simplified analytical expressions that reproduce the significant features of the interfering waveforms. This waveform modeling approach could be used to standardize the artificial test signals that are representative of realistic devices and scenarios.
- Published
- 2021
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