Print Email Facebook Twitter Slow Coherency Identification and Power System Dynamic Model Reduction by using Orthogonal Structure of Electromechanical Eigenvectors Title Slow Coherency Identification and Power System Dynamic Model Reduction by using Orthogonal Structure of Electromechanical Eigenvectors Author Tyuryukanov, I. (TU Delft Intelligent Electrical Power Grids) Popov, M. (TU Delft Intelligent Electrical Power Grids) van der Meijden, M.A.M.M. (TU Delft Intelligent Electrical Power Grids; TenneT TSO B.V.) Terzija, Vladimir (The University of Manchester) Date 2020 Abstract Identifying generator coherency with respect to slow oscillatory modes has numerous power system use cases including dynamic model reduction, dynamic security analysis, or system integrity protection schemes (e.g., power system islanding). Despite their popularity in both research and industry, classic eigenvector-based slow coherency techniques may not always return accurate results. The multiple past endeavors to improve their accuracy often lack a solid mathematical foundation. Motivated by these deficiencies, we propose an alternative consistent approach to generator slow coherency. Firstly, a new approach is introduced to accurately detect slow coherent generators by effectively minimizing generic normalized cuts. As a by-product, the new approach can also guide the choice of the number of slow coherent groups. Secondly, it is shown that the combination of the the proposed slow coherency approach and an enhanced version of the inertial generator aggregation method allows to produce accurate dynamic equivalents even if the selected number of generator groups is relatively low. Subject Coherency identificationdynamic model reductiongenerator aggregationnumber of clustersslow coherency To reference this document use: http://resolver.tudelft.nl/uuid:ae719004-3a67-4ac2-b677-dbe21f2aedaf DOI https://doi.org/10.1109/TPWRS.2020.3009628 Embargo date 2021-08-17 ISSN 0885-8950 Source IEEE Transactions on Power Systems, 36 (2), 1482-1492 Bibliographical note Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. Part of collection Institutional Repository Document type journal article Rights © 2020 I. Tyuryukanov, M. Popov, M.A.M.M. van der Meijden, Vladimir Terzija Files PDF Slow_Coherency_Identifica ... ectors.pdf 2.01 MB Close viewer /islandora/object/uuid:ae719004-3a67-4ac2-b677-dbe21f2aedaf/datastream/OBJ/view