Phase Identification in smart metering pilot project Komorany

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CIRED 2019 - 2068.pdf (1.18 MB)
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.
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Publisher
AIM
Date
2019-06-03
Published in
CIRED 2019 Conference
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