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Characterization methods and typical levels of variations in rms voltage at the time scale between 1 second and 10  minutes
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0003-4074-9529
The University of Cordoba, Cordoba, Spain.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0002-4004-0352
2020 (English)In: Electric power systems research, ISSN 0378-7796, E-ISSN 1873-2046, Vol. 184, article id 106322Article in journal (Refereed) Published
Abstract [en]

Voltage magnitude deviation from its nominal value varies over a range of time scales. This paper concentrates on the range between 1 s and 10 min as part of the long-term aim of obtaining a complete picture of voltage magnitude variations at time scales below ten minutes. Time series of voltage with 1-s time resolution are obtained at 57 locations around the world. The main contributions of the paper are: the definition of additional indices in the sub-10-minute time scale from the 1-s rms voltages; statistics on the values of these indices for different locations; identifying the need for further research through a set of recommendations to the research community. It is shown, among others, that for the available data set, the voltage typically varies between 0.5 V and 5 V within a 10-min window; a range exceeding 1 or 2 V is common; a range exceeding 5 V is uncommon.

The need for the indices proposed in this paper is justified as equipment connected to the grid is changing and to help managing and for storing the huge amount of data resulting from power-quality measurements at many sites during several years.

Place, publisher, year, edition, pages
Elsevier, 2020. Vol. 184, article id 106322
Keywords [en]
Electricity distribution grids, Power quality, Power-quality monitoring, Rapid voltage changes, Supply voltage variations
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electric Power Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-78296DOI: 10.1016/j.epsr.2020.106322Scopus ID: 2-s2.0-85081650800OAI: oai:DiVA.org:ltu-78296DiVA, id: diva2:1421108
Note

Validerad;2020;Nivå 2;2020-04-02 (alebob)

Available from: 2020-04-02 Created: 2020-04-02 Last updated: 2020-04-02Bibliographically approved

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Bollen, MathRönnberg, Sarah

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