Automatic classification of circuit topologies of appliances
based on higher order statistic

Olivia Florencias-Oliveros, Ana María Blanco, Jan Meyer, Juan-José González-de-la-Rosa and Agustín Agüera-Pérez




Electronic devices have a non-linear characteristic and are sources of harmonic emission. Their
massive use pollutes the network and consequently it is needed to measure and characterize those devices. Harmonic current emitted by electronic devices is closely linked to their circuit topology and the distortion of the supply voltage. Different circuit topologies have also different current waveforms. This paper proposes an automatic classification method of steady-state appliances
based on current waveform characterization in the higherorder statistics space. The translation from the time domain to a statistical space enables the automatic identification of individual devices. The algorithm has been applied to the current waveforms of a large set of household appliances measured under sinusoidal conditions. The classification analysis proves that clusters of circuit topologies can be clearly identified. In addition, authors show that kurtosis and variance of an individual cycle provide enough information about the distribution of a waveform shape with respect to its average value, while the skewness inform about the half cycle bias. The method can be a useful tool to identify prevailing circuit topologies in the market. It can also improve automatic load identification, e.g. part of the future intelligent measurement systems such as smart meters.

Published in: Renewable Energy & Power Quality Journal (RE&PQJ, Nº. 17)
Pages: 516-521 Date of Publication: 2019/07/15
ISSN: 2172-038X Date of Current Version:2019/04/10
REF: 362-19 Issue Date: July 2019
DOI:10.24084/repqj17.362 Publisher: EA4EPQ


Authors and affiliations

Olivia Florencias-Oliveros 1, Ana María Blanco2, Jan Meyer2, Juan-José González-de-la-Rosa 1 and
Agustín Agüera-Pérez 1
1. Research Group PAIDI-TIC-168: Computational Instrumentation and Industrial Electronics. Higher Polytechnic School of Algeciras. University of Cadiz, Spain
2. Institute for Electrical Power Systems and High Voltage Engineering. Technische Universität Dresden, Germany

Key words

Power quality (PQ); harmonic emission, appliance identification; higher-order statistics (HOS); electronic appliances, smart metering


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