Poursharif, G., Brint, A.T. orcid.org/0000-0002-8863-407X, Black, M. et al. (1 more author) (2017) Analyzing the ability of Smart Meter Data to Provide Accurate Information to the UK DNOs. In: CIRED - Open Access Proceedings Journal. CIRED 2017, 12-15 Jun 2017, Glasgow. IET , pp. 2078-2081.
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.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/ |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Management School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 12 Apr 2017 10:16 |
Last Modified: | 12 Jun 2018 12:44 |
Published Version: | https://doi.org/10.1049/oap-cired.2017.0654 |
Status: | Published |
Publisher: | IET |
Refereed: | Yes |
Identification Number: | 10.1049/oap-cired.2017.0654 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:114632 |