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Smart Meter Data-Based Load Profiles and Their Effect on Distribution System State Estimation Accuracy

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Yksityiskohdat

AlkuperäiskieliEnglanti
Sivut460-469
Sivumäärä10
JulkaisuInternational Review of Electrical Engineering: IREE
Vuosikerta12
Numero6
DOI - pysyväislinkit
TilaJulkaistu - huhtikuuta 2018
OKM-julkaisutyyppiA1 Alkuperäisartikkeli

Tiivistelmä

The constantly spreading smart meters open new possibilities for load profiling. With smart meter measurements, standard customer class load profiles can be updated, customers can be clustered into similarly behaving groups, or individual load profiles can be created. This paper studies how these new smart meter data -based load profiling methods affect the distribution system state estimation accuracy. Extensive simulations were made with a real distribution
network containing both medium and low voltage networks. Results achieved with different load profiling methods were compared with each other, with publicly available standard customer class load profiles, and with other currently used load modelling methods. In all studied cases, the new smart meter data -based load profiles provided superior state estimation accuracy. The results
presented in this paper should motivate distribution network operators to utilize smart meter measurements more efficiently in load profiling and state estimation.

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