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Methodical approach to weak buses and ties detection in a power system

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dc.contributor.author STRATAN, Ion
dc.contributor.author RADILOV, Tudor
dc.contributor.author PRIPA, Marin
dc.contributor.author GROPA, Victor
dc.date.accessioned 2019-11-26T14:04:30Z
dc.date.available 2019-11-26T14:04:30Z
dc.date.issued 2017
dc.identifier.citation STRATAN, Ion, RADILOV, Tudor, PRIPA, Marin et al. Methodical approach to weak buses and ties detection in a power system [Resursă electronică]. In: SIELMEN 2017: Proceedings of the 11-th international conference on electromechanical and power systems, 11-13 octombrie, 2017. Chișinău, 2017, pp. 623-626. ISBN 978-1-5386-1846-2. en_US
dc.identifier.isbn 978-1-5386-1846-2
dc.identifier.uri http://repository.utm.md/handle/5014/7203
dc.description Abstract & References en_US
dc.description.abstract The paper covers a complex approach to weak buses and ties detection in a power system. The applied method is based on singular value decomposition of sensitivity matrix to identify the weak spots in a power system and the traceability of the power flows to identify the overloaded transmission lines and power transformers. The singular analysis of weak spots problem implies the evaluation of the right and the left singular vectors’ elements related to the minimal singular value of sensitivity matrix and the evaluation of its derivative with respect to a controllable parameter as well. The theory of the power flows traceability in its turn is applied to assess the ratio of the power delivered by a specific source to a certain electric line. en_US
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject power systems en_US
dc.subject power flows traceability en_US
dc.subject sensitivity matrix en_US
dc.subject weak tie en_US
dc.title Methodical approach to weak buses and ties detection in a power system en_US
dc.type Article en_US


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  • 2017
    11-13 Oct. 2017

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Attribution-NonCommercial-NoDerivs 3.0 United States Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 United States

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