A Novel Method for Obtaining the Signature of Household Consumer Pairs

Dadiana-Valeria Căiman and Toma-Leonida Dragomir
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Dadiana-Valeria Căiman: Faculty of Automation and Applied Informatics, Politehnica University Timișoara, 300223 Timișoara, Romania
Toma-Leonida Dragomir: Faculty of Automation and Applied Informatics, Politehnica University Timișoara, 300223 Timișoara, Romania

Energies, 2020, vol. 13, issue 22, 1-20

Abstract: The management of electricity consumption by household consumers requires multiple ways of consumer monitoring. One of these is the signature i ( v ) determined by monitoring the consumer voltage-current trajectory. The paper proposes a novel method for obtaining signatures of 2-multiple consumers, i.e., a pair of consumers connected in parallel. Signatures are obtained from samples of the voltage at the consumers’ terminals and of the total current absorbed by the consumers, measured at a frequency of only 20 Hz. Within the method, signatures are calculated using genetic algorithms (GA) and nonlinear regression, according to a procedure developed by the authors in a previous paper. The management of the data selected for the signature assignment represents the novelty. The method proposed in this paper is applied in two case studies, one concerning household consumers within the same power level, the other for household consumers of different power levels. The results confirm the possibility of obtaining signatures of i ( v ) type.

Keywords: voltage-current trajectory; signatures of household consumers; low frequency sampling with smart meter; nonlinear regression; genetic algorithms; nonintrusive decomposition of compound consumers via signatures (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
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