 |
Automatic classification
of circuit topologies of appliances
2019/07/15 |
Abstract
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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