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Short Circuit Capacity Estimation for HVDC Control Application
KTH, School of Electrical Engineering (EES), Electric power and energy systems.ORCID iD: 0000-0003-3946-7655
KTH, School of Electrical Engineering (EES), Electric power and energy systems.
KTH, School of Electrical Engineering (EES), Electric power and energy systems.ORCID iD: 0000-0003-3014-5609
HVDC, ABB Sweden, Ludvika.
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2016 (English)In: Power Systems Computation Conference (PSCC), 2016, IEEE conference proceedings, 2016Conference paper, Published paper (Refereed)
Abstract [en]

This paper studies various operational aspects ofrecursive least square algorithm as a potential solution for theestimation of short circuit capacity in HVDC application. Inthis work, low computational requirement, minor operationalcomplication and acceptable accuracy of the estimated gridparameters have been considered as the performance metricsfor the selection of the suitable estimation algorithm. The chosenalgorithm forms a regression problem using at least two algebraiccomplex equations based on two different operating points. Theappropriate selection of the second operating point which fulfillsthe minimum required accuracy and convergence rate is of greatimportance, particularly in the practical implementation. Thispaper proposes and analyzes several choices of providing thesecond operating point for the estimation algorithm adopted toHVDC application. Furthermore, a sensitivity analysis has beencarried out to assess the impact of different parameters andoperational conditions such as execution time on the performanceof the estimation algorithm for the HVDC control purposes.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2016.
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-178163DOI: 10.1109/PSCC.2016.7540875ISI: 000382485600063Scopus ID: 2-s2.0-84986593853OAI: oai:DiVA.org:kth-178163DiVA: diva2:877663
Conference
Power Systems Computation Conference, 2016, 20-24 June 2016
Note

QC 20160901

Available from: 2015-12-07 Created: 2015-12-07 Last updated: 2016-10-17Bibliographically approved

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Publisher's full textScopushttp://www.pscc.eu/en/no_cache/home.html

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Babazadeh, DavoodNordström, Lars

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