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

 

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

References

[1] A. M. Blanco, M. Gupta, A. Gil De Castro, S. Rönnberg, J. Meyer; Impact of flat-top voltage waveform distortion on harmonic current emission and summation of electronic household appliances, International Conference on Renewable Energies and Power Quality (ICREPQ18), 2018.
[2] J. Meyer, A. M. Blanco, Max Domagk, Peter Schegner; Assessment of Prevailing Harmonic Current Emission in Public Low-Voltage Networks, IEEE Transaction on Power Delivery, vol. 32, nº 2, 2017.
[3] O. Florencias-Oliveros, J.J. González-de-la-Rosa, A. Agüera-Pérez, J. C. Palomares-Salas; Power quality event dynamics characterization via 2D trajectories using deviations of higher-order statistics Measurement, vol. 125, p. 350–359 , 2018.
[4] M.V. Ribeiro, C. A. G. Marques, C. A. Duque, A. S. Cerqueira, J. L. R. Pereira; Detection of disturbances in voltage signals for power quality analysis using HOS; EURASIP J. Adv. Signal Process., 2007.
[5] A. Agüera-Pérez, J. C. Palomares-Salas, J.J. González-de-la-Rosa, J. M. Sierra-Fernández, D. Ayora-Sedeño, A. Moreno-Muñoz; Characterization of electrical sags and swells using higher-order statistical estimators; Measurement, nº 44, pp. 1453–1460, 2011.
[6] Juan D.S. Guedes, Danton D.Ferreira, Bruno H.G. Barbosa; A non-intrusive approach to classify electrical appliances based on higher-order statistics and genetic algorithm: a smart grid perspective, Electric Power Systems Research, vol. 140, 2016.
[7] A. M. Blanco, E. Glasch, J. Meyer, P. Schegner; Webbased platform for exchanging harmonics emission measurements of electronic equipment; IEEE 15th Internacional Conference on Harmonics and Quality of Power-ICHQP, 2012.