Analysing the ability of smart meter data to provide accurate information to the UK DNOs

Goudarz Poursharif*, Andrew Brint, Mary Black, Mark Marshall

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

By 2020, smart meters will potentially provide the UK's distribution network operators (DNOs) with more detailed information about the real-time status of the low-voltage (LV) network. However, the smart meter data that the DNOs will receive has a number of limitations including the unavailability of some real-time smart meter data, aggregation of smart meter readings to preserve customer privacy, half-hourly averaging of customer demand/ generation readings, and the inability of smart meters to identify the connection phases. This research investigates how these limitations of the smart meter data can affect the estimation accuracy of technical losses and voltage levels in the LV network and the ways in which 1 min losses and correct phasing patterns can be determined despite the limitations in smart data.

Original languageEnglish
Pages (from-to)2078-2081
Number of pages4
JournalCIRED - Open Access Proceedings Journal
Volume2017
Issue number1
DOIs
Publication statusPublished - 1 Oct 2017
Event24th International Conference and Exhibition on Electricity Distribution, CIRED 2017 - Glasgow, United Kingdom
Duration: 12 Jun 201715 Jun 2017

Bibliographical note

Publisher Copyright:
© 2017 Institution of Engineering and Technology. All rights reserved.

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