Advanced Distribution Measurement Technologies and Data Applications for Smart Grids: A Review
Antonio E. Saldaña-González
Andreas Sumper1
Centre d’Innovació Tecnològica en Convertidors Estàtics i Accionaments (CITCEA-UPC), Departament d’Enginyeria Elèctrica, Universitat Politècnica de Catalunya ETS d’Enginyeria Industrial de Barcelona, Avinguda Diagonal, 647, Pl. 2, 08028 Barcelona, Spain
2
COMSENSUS, Brezje pri Dobu 8, 1233 Dob, Slovenia
*
Author to whom correspondence should be addressed.
Energies 2020, 13(14), 3730; https://doi.org/10.3390/en13143730
Received: 19 May 2020 / Revised: 13 July 2020 / Accepted: 15 July 2020 / Published: 20 July 2020
(This article belongs to the Special Issue Smart Distribution Grid Technologies and Applications)
The integration of advanced measuring technologies in distribution systems allows distribution system operators to have better observability of dynamic and transient events. In this work, the applications of distribution grid measurement technologies are explored in detail. The main contributions of this review are: (a) a comparison of eight advanced measurement devices for distribution networks, based on their technical characteristics, including reporting periods, measuring data, precision, and sample rate; (b) a review of the most recent applications of micro-Phasor Measurement Units, Smart Meters, and Power Quality Monitoring devices used in distribution systems, considering different novel methods applied for data analysis; and (c) an input-output table that relates measured quantities from micro-Phasor Measurement Units and Smart Meters needed for each specific application found in this extensive review. This paper aims to serve as an important guide for researches and engineers studying smart grids.
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Keywords:
advanced measuring devices; micro-phasor measurement units; power quality monitors; smart grid technologies; smart meters
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MDPI and ACS Style
Saldaña-González, A.E.; Sumper, A.; Aragüés-Peñalba, M.; Smolnikar, M. Advanced Distribution Measurement Technologies and Data Applications for Smart Grids: A Review. Energies 2020, 13, 3730.
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