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Causal and anti-causal segmentation of voltage dips in power distribution networks
University of Cordoba.
University of Cordoba.
University of Cordoba.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0003-4074-9529
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Number of Authors: 5
2016 (Spanish)In: IEEE Latin America Transactions, ISSN 1548-0992, E-ISSN 1548-0992, Vol. 14, no 7, 3080-3086 p.Article in journal (Refereed) Published
Abstract [en]

This paper presents the performance of a joint causal and anti-causal (CaC) segmentation method for automatic location of nonstationary parts of power quality (PQ) events. Accurate time allocation of events and sequences of events is an important study to automatically analyze disturbances in the future (smart) grid. The new method developed is based on the cumulative sum (CUSUM) algorithm and is applied to a wide set of power quality events to analyze its performance. The main advantage of CaC segmentation is that the location in time of underlying transitions in the power system is accurately estimated.

Place, publisher, year, edition, pages
2016. Vol. 14, no 7, 3080-3086 p.
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electric Power Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-60448ISI: 000386259900007ScopusID: 2-s2.0-84992065832OAI: oai:DiVA.org:ltu-60448DiVA: diva2:1046908
Note

Validerad; 2016; Nivå 2; 2016-11-20 (andbra)

Available from: 2016-11-15 Created: 2016-11-15 Last updated: 2017-03-09Bibliographically approved

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