Available on ORBi since
02 May 2018
Paper published in a book (Scientific congresses and symposiums)
Phase Identification of Smart Meters by Clustering Voltage Measurements
Olivier, Frédéric  ; Sutera, Antonio  ; Geurts, Pierre  et al.
2018 • In Proceedings of the XX Power Systems Computation Conference (PSCC 2018)
Peer reviewed
 

Files


Full Text
Olivier F. et al. - 2018 - Phase Identification of Smart Meters by Clustering Voltage Measurements.pdf
Publisher postprint (747.67 kB)
Annexes
PSCC Presentation - Frederic OLIVIER - Phase Identification of Smart Meters by Clustering Voltage Measurements.pdf
Publisher postprint (3.41 MB)

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
Voltage correlation; clustering; constrained k- means clustering; phase identification; smart meter; three-phase distribution network
Abstract :
[en] When a smart meter, be it single-phase or threephase, is connected to a three-phase network, the phase(s) to which it is connected is (are) initially not known. This means that each of its measurements is not uniquely associated with a phase of the distribution network. This phase information is important because it can be used by Distribution System Operators to take actions in order to have a network that is more balanced. In this work, the correlation between the voltage measurements of the smart meters is used to identify the phases. To do so, the constrained k-means clustering method is first introduced as a reference, as it has been previously used for phase identification. A novel, automatic and effective method is then proposed to overcome the main drawback of the constrained k-means clustering, and improve the quality of the clustering. Indeed, it takes into account the underlying structure of the low-voltage distribution networks beneath the voltage measurements without a priori knowledge on the topology of the network. Both methods are analysed with real measurements from a distribution network in Belgium. The proposed algorithm shows superior performance in different settings, e.g. when the ratio of single-phase over three- phase meters in the network is high, when the period over which the voltages are averaged is longer than one minute, etc.
Disciplines :
Energy
Author, co-author :
Olivier, Frédéric ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Smart grids
Sutera, Antonio ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Algorith. des syst. en interaction avec le monde physique
Geurts, Pierre ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Algorith. des syst. en interaction avec le monde physique
Fonteneau, Raphaël ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Dép. d'électric., électron. et informat. (Inst.Montefiore)
Ernst, Damien ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Smart grids
Language :
English
Title :
Phase Identification of Smart Meters by Clustering Voltage Measurements
Publication date :
June 2018
Event name :
XX Power Systems Computation Conference (PSCC 2018)
Event place :
Dublin, Ireland
Event date :
from 11-06-2018 to 15-06-2018
Audience :
International
Main work title :
Proceedings of the XX Power Systems Computation Conference (PSCC 2018)
Peer reviewed :
Peer reviewed

Statistics


Number of views
1185 (68 by ULiège)
Number of downloads
1227 (38 by ULiège)

Scopus citations®
 
35
Scopus citations®
without self-citations
32
OpenCitations
 
16

Bibliography


Similar publications



Contact ORBi