Inferring low voltage transformer state using only Smart Metering data

Qipeng Chen, Dritan Kaleshi, Zhong Fan

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

3 Citations (Scopus)
246 Downloads (Pure)

Abstract

Previous works on Distribution State Estimation (DSE) utilizing Smart Metering (SM) data assume the availability of sufficient measurements from distributed generators and Low Voltage (LV) transformers as well. However, both distributed generators and LV transformers are seldom equipped with advanced meters due to the high expenses. This paper investigates how DSE is performed using only SM data when inferring the states at LV transformers. SM data usually is captured synchronously but reported over a given time interval. The impact of the errors introduced by non-perfect meter clock synchronisation is analysed using real SM data, and is confirmed to be not significant. The experimental results further show the possibility of using SM data alone to characterize the states at LV transformers.
Original languageEnglish
Title of host publication2013 4th IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe 2013)
Subtitle of host publicationProceedings of a meeting held 6-9 October 2013, Lyngby, Denmark
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-5
Number of pages5
ISBN (Electronic)9781479929832
ISBN (Print)9781479929856
DOIs
Publication statusPublished - May 2014

Publication series

NameIEEE PES Innovative Smart Grid Technologies Conference Europe
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISSN (Print)2165-4816

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