TY - JOUR
T1 - Analysing the Ability of Smart Meter Data to Provide Accurate Information to the UK DNOs
AU - Poursharif, Goudarz
AU - Brint, Andrew
AU - Black, Mary
AU - Marshall, Mark
PY - 2017/10
Y1 - 2017/10
N2 - 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.
AB - 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.
UR - https://digital-library.theiet.org/content/journals/10.1049/oap-cired.2017.0654
U2 - 10.1049/oap-cired.2017.0654
DO - 10.1049/oap-cired.2017.0654
M3 - Conference article
SN - 2515-0855
VL - 2017
SP - 2078
EP - 2081
JO - CIRED - Open Access Proceedings Journal
JF - CIRED - Open Access Proceedings Journal
IS - 1
ER -