Using grouped smart meter data in phase identification

A. Brint, G. Poursharif, M. Black, Mark Marshall

Research output: Contribution to journalArticlepeer-review


Access to smart meter data will enable electricity distribution companies to have a far clearer picture of the operation of their low voltage networks. This in turn will assist in the more active management of these networks. An important current knowledge gap is knowing for certain which phase each customer is connected to. Matching the loads from the smart meter with the loads measured on different phases at the substation has the capability to fill this gap. However, in the United Kingdom at the half hourly level only the loads from groups of meters will be available to the network operators. Therefore, a method is described for using this grouped data to assist with determining each customer's phase when the phase of most meters is correctly known. The method is analysed using the load readings from a data set of 96 smart meters. It successfully ranks the mixed phase groups very highly compared with the single phase groups.
Original languageEnglish
Pages (from-to)213-222
JournalComputers and Operations Research
Publication statusPublished - Aug 2018


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