Phase Identification of Smart Meters by Clustering Voltage Measurements
| Autor: | Raphaël Fonteneau, Damien Ernst, Frédéric Olivier, Antonio Sutera, Pierre Geurts |
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| Rok vydání: | 2018 |
| Předmět: |
Identification (information)
Computer science Smart meter 020209 energy Real-time computing 0202 electrical engineering electronic engineering information engineering Phase (waves) Effective method A priori and a posteriori Topology (electrical circuits) 02 engineering and technology Cluster analysis Voltage |
| Zdroj: | 2018 Power Systems Computation Conference (PSCC). |
| DOI: | 10.23919/pscc.2018.8442853 |
| Popis: | When a smart meter, be it single-phase or three-phase, 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. |
| Databáze: | OpenAIRE |
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