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
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)
W. Wang, N. Yu, B. Foggo, J. Davis, and J. Li, "Phase Identification in Electric Power Distribution Systems by Clustering of Smart Meter Data, " in Proc. of 2016 IEEE Machine Learning and Applications (ICMLA), 2016.
A. Dubey, S. Santoso, and A. Maitra, "Understanding photovoltaic hosting capacity of distribution circuits, " in Proc. of 2015 IEEE Power & Energy Society General Meeting, 2015.
B. Bletterie, A. Gorsek, A. Abart, and M. Heidl, "Understanding the effects of unsymmetrical infeed on the voltage rise for the design of suitable voltage control algorithms with PV, " in Proc. of the 26th European Photovoltaic Solar Energy Conference and Exhibition, Hamburg, 2011.
S. Cundeva, M. Bollen, and D. Schwanz, "Hosting capacity of the grid for wind generators set by voltage magnitude and distortion levels, " in Proc. of 2016 Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MedPower), 2016.
D. Schwanz, F. Moller, S. K. Ronnberg, J. Meyer, and M. H. Bollen, "Stochastic assessment of voltage unbalance due to single-phaseconnected solar power, " in Proc. of 2016 International Conference on Harmonics and Quality of Power (ICHQP), 2016.
S. J. Pappu, N. Bhatt, R. Pasumarthy, and A. Rajeswaran, "Identifying Topology of Low Voltage (LV) Distribution Networks Based on Smart Meter Data, " IEEE Transactions on Smart Grid, 2017.
R. Mitra, R. Kota, S. Bandyopadhyay, V. Arya, B. Sullivan, R. Mueller, H. Storey, and G. Labut, "Voltage Correlations in Smart Meter Data, " in Proc. of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015.
J. D. Watson, J. Welch, and N. R. Watson, "Use of Smart-meter Data to Determine Distribution System Topology, " IET Journal of Engineering, 2016.
A. Rajeswaran, N. P. Bhatt, R. Pasumarthy et al., "A Novel Approach for Phase Identification in Smart Grids Using Graph Theory and Principal Component Analysis, " in Proc. of 2016 IEEE American Control Conference (ACC), 2016.
H. Pezeshki and P. J. Wolfs, "Consumer Phase Identification in a Three Phase Unbalanced LV Distribution Network, " in Proc. of 2012 Innovative Smart Grid Technologies (ISGT Europe), 2012.
F. Olivier, D. Ernst, and R. Fonteneau, "Automatic Phase Identification of Smart Meter Measurement Data, " in Proc. of the 24th International Conference on Electricity Distribution (CIRED), June 2017.
S. Lloyd, "Least Qquares Quantization in PCM, " IEEE Transactions on Information Theory, vol. 28, no. 2, pp. 129-137, 1982.
K. Wagstaff, C. Cardie, S. Rogers, and S. Schroedl, "Constrained Kmeans Clustering with Background Knowledge, " in Proc. of International Conference on Machine Learning, 2001, pp. 577-584.
W. Wang, N. Yu, and Z. Lu, "Advanced metering infrastructure data driven phase identification in smart grid, " GREEN 2017 Forward, p. 22, 2017.
