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Impact of smart metering data aggregation on distribution system state estimation

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)1426-1437
Number of pages12
JournalIEEE Transactions on Industrial Informatics
Volume12
Issue number4
Early online date26 May 2016
DOIs
DateAccepted/In press - 11 May 2016
DateE-pub ahead of print - 26 May 2016
DatePublished (current) - Aug 2016

Abstract

Pseudo medium/low voltage (MV/LV) transformer loads are usually used as partial inputs to the distribution system state estimation (DSSE) in MV systems. Such pseudo load can be represented by the aggregation of smart metering (SM) data. This follows the government restriction that distribution network operators (DNOs) can only use aggregated SM data. Therefore, we assess the subsequent performance of the DSSE, which shows the impact of this restriction - it affects the voltage angle estimation significantly. The possibilities for improving the DSSE accuracy under this restriction are further studied. First, two strategies that can potentially relax this restriction's impact are studied. First, the correlations among pseudo loads' errors are taken into account in the DSSE process and a power loss estimation method is proposed. Second, the investments (i.e., either adding measurement devices or increasing the original devices' accuracy) for the satisfactory DSSE results are assessed. All these are for addressing DNOs' concerns on this restriction.

    Research areas

  • Smart meter, Distribution system state estimation, DSSE, Medium voltage power system

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  • Full-text PDF (accepted author manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via IEEE at http://ieeexplore.ieee.org/document/7479535/. Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 2 MB, PDF-document

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