Phase Identification in smart metering pilot project Komorany

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Paper number

2068

Working Group Number

Conference name

CIRED 2019

Conference date

3-6 June 2019

Conference location

Madrid, Spain

Peer-reviewed

Yes

Short title

Convener

Authors

Vycital, Vaclav, Brno University of Technology, Czech Republic
Ptacek, Michal, Brno University of Technology, Czech Republic
Toman, Petr, Brno University of Technology, Czech Republic
Topolanek, David, Brno University of Technology, Czech Republic
Drápela, Jiří, Brno University of Technology, Czech Republic
Zamphiropolos, Juan, E.ON Distribuce, Czech Republic

Abstract

Residential households in low voltage systems in the Czech Republic are connected to the distribution network either by single phase or by three phases. It is a common practise for distribution system operators that the actual phase connection information is unknown. The wide spread installation of smart meters might help to solve this situation. The paper is focused on the use of measured voltage profiles from the smart meters in 15-minute intervals to identify the phase connection order at all smart meters supplied by the same transformer. The method uses an algorithm that can be run over the historical data in the database. Simplified method of searching for phase specific voltage events in reference measurement and its response in measurement in all other smart metes have been adopted. The phase identification and allocation method was applied on real measured data available from the pilot project of Smart Region Komorany operated by E.ON Distribuce in the Czech Republic. It was found out that the method identifies phase order successfully in about 82 % of cases, however through possible different settings of the method sensitivity or larger historical data even better results might be achieved.

Table of content

Keywords

Publisher

AIM

Date

2019-06-03

Permanent link to this record

https://cired-repository.org/handle/20.500.12455/718
http://dx.doi.org/10.34890/944

ISSN

2032-9644

ISBN

978-2-9602415-0-1