{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T22:25:06Z","timestamp":1757543106650},"reference-count":35,"publisher":"Walter de Gruyter GmbH","issue":"12","license":[{"start":{"date-parts":[[2023,11,27]],"date-time":"2023-11-27T00:00:00Z","timestamp":1701043200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,12,27]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>The present paper introduces a hybrid method based on both the Lyapunov\u2019s direct approach using the Potential Energy Boundary Surface method and parallel time-domain simulation for fast power system dynamic security assessment. The main contribution in the presented method is an approach that combines the directional derivative of the potential energy function and the maximum potential energy criterion in order to reduce the conservativeness in the estimation of the stability region at the direct method stage. For detailed investigation of the critical contingencies, a parallel approach is applied at the time-domain simulation stage. From the simulation results, the proposed method achieves a high level of accuracy in classifying network contingencies and shows great computational performance potential in light of the requirement for fast dynamic security assessment.<\/jats:p>","DOI":"10.1515\/auto-2023-0079","type":"journal-article","created":{"date-parts":[[2023,11,25]],"date-time":"2023-11-25T06:42:35Z","timestamp":1700894555000},"page":"1002-1017","source":"Crossref","is-referenced-by-count":1,"title":["A two-stage parallel hybrid method for power system dynamic security assessment"],"prefix":"10.1515","volume":"71","author":[{"given":"Michael","family":"Kyesswa","sequence":"first","affiliation":[{"name":"Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology , Eggenstein-Leopoldshafen , Germany"}]},{"given":"H\u00fcseyin K.","family":"\u00c7akmak","sequence":"additional","affiliation":[{"name":"Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology , Eggenstein-Leopoldshafen , Germany"}]},{"given":"Uwe","family":"K\u00fchnapfel","sequence":"additional","affiliation":[{"name":"Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology , Eggenstein-Leopoldshafen , Germany"}]},{"given":"Veit","family":"Hagenmeyer","sequence":"additional","affiliation":[{"name":"Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology , Eggenstein-Leopoldshafen , Germany"}]}],"member":"374","published-online":{"date-parts":[[2023,11,27]]},"reference":[{"key":"2024011813223790984_j_auto-2023-0079_ref_001","unstructured":"CIGRE Working Group C4.601, \u201cReview of on-line dynamic security assessment tools and techniques,\u201d Paris, CIGRE, Technical Brochure 325, 2007."},{"key":"2024011813223790984_j_auto-2023-0079_ref_002","doi-asserted-by":"crossref","unstructured":"M. Ribbens-Pavella and F. J. Evans, \u201cDirect methods for studying dynamics of large-scale electric power systems-a survey,\u201d Automatica, vol.\u00a021, no.\u00a01, pp.\u00a01\u201321, 1985. https:\/\/doi.org\/10.1016\/0005-1098(85)90095-0.","DOI":"10.1016\/0005-1098(85)90095-0"},{"key":"2024011813223790984_j_auto-2023-0079_ref_003","unstructured":"H. Song and M. Kezunovic, \u201cStability control using PEBS method and analytical sensitivity of the transient energy margin,\u201d IEEE PES Power Syst. Conf. Expo., vol.\u00a02, pp.\u00a01153\u20131158, 2004."},{"key":"2024011813223790984_j_auto-2023-0079_ref_004","doi-asserted-by":"crossref","unstructured":"M. Benidris, N. Cai, and J. Mitra, \u201cA fast transient stability screening and ranking tool,\u201d in 2014 Power Systems Computation Conference, 2014, pp.\u00a01\u20137.","DOI":"10.1109\/PSCC.2014.7038384"},{"key":"2024011813223790984_j_auto-2023-0079_ref_005","doi-asserted-by":"crossref","unstructured":"H. H. Al Marhoon, I. 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Power Energy Syst., vol.\u00a019, no.\u00a03, pp.\u00a0195\u2013208, 1997. https:\/\/doi.org\/10.1016\/s0142-0615(96)00047-6.","DOI":"10.1016\/S0142-0615(96)00047-6"},{"key":"2024011813223790984_j_auto-2023-0079_ref_008","doi-asserted-by":"crossref","unstructured":"D. Ernst, D. Ruiz-Vega, M. Pavella, P. Hirsch, and D. J. Sobajic, \u201cA unified approach to transient stability contingency filtering, ranking and assessment,\u201d IEEE Trans. Power Syst., vol.\u00a016, no.\u00a03, pp.\u00a0435\u2013443, 2001. https:\/\/doi.org\/10.1109\/59.932279.","DOI":"10.1109\/59.932279"},{"key":"2024011813223790984_j_auto-2023-0079_ref_009","doi-asserted-by":"crossref","unstructured":"B. Lee, S.-H. Kwon, J.-G. Lee, H.-K. Nam, J.-B. Choo, and D. Jeon, \u201cFast contingency screening for online transient stability monitoring and assessment of the KEPCO system,\u201d IEE Proc. Generat. Transm. Distrib., vol.\u00a0150, no.\u00a04, pp.\u00a0399\u2013404, 2003. https:\/\/doi.org\/10.1049\/ip-gtd:20030501.","DOI":"10.1049\/ip-gtd:20030501"},{"key":"2024011813223790984_j_auto-2023-0079_ref_010","doi-asserted-by":"crossref","unstructured":"M. Oluic, M. Ghandhari, and B. Berggren, \u201cMethodology for rotor angle transient stability assessment in parameter space,\u201d IEEE Trans. Power Syst., vol.\u00a032, no.\u00a02, pp.\u00a01202\u20131211, 2017. https:\/\/doi.org\/10.1109\/tpwrs.2016.2571562.","DOI":"10.1109\/PESGM.2017.8274261"},{"key":"2024011813223790984_j_auto-2023-0079_ref_011","doi-asserted-by":"crossref","unstructured":"T. Weckesser, H. J\u00f3hannsson, M. Glavic, and J. \u00d8stergaard, \u201cAn improved on-line contingency screening for power system transient stability assessment,\u201d Elec. Power Compon. 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Mag., vol.\u00a09, no.\u00a01, pp.\u00a023\u201327, 1989. https:\/\/doi.org\/10.1109\/37.16746.","DOI":"10.1109\/37.16746"},{"key":"2024011813223790984_j_auto-2023-0079_ref_017","doi-asserted-by":"crossref","unstructured":"N. Kakimoto, Y. Ohsawa, and M. Hayashi, \u201cTransient stability analysis of multimachine power system with field flux decays via Lyapunov\u2019s direct method,\u201d IEEE Trans. Power Apparatus Syst., vol.\u00a0PAS-99, no.\u00a05, pp.\u00a01819\u20131827, 1980. https:\/\/doi.org\/10.1109\/tpas.1980.319772.","DOI":"10.1109\/TPAS.1980.319772"},{"key":"2024011813223790984_j_auto-2023-0079_ref_018","doi-asserted-by":"crossref","unstructured":"M. Kyesswa, H. K. \u00c7akmak, U. K\u00fchnapfel, and V. 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Power Syst., vol.\u00a026, no.\u00a01, pp.\u00a012\u201319, 2011. https:\/\/doi.org\/10.1109\/tpwrs.2010.2051168.","DOI":"10.1109\/TPWRS.2010.2051168"},{"key":"2024011813223790984_j_auto-2023-0079_ref_025","doi-asserted-by":"crossref","unstructured":"F. Dorfler and F. Bullo, \u201cKron reduction of graphs with applications to electrical networks,\u201d IEEE Trans. Circ. Syst., vol.\u00a060, no.\u00a01, pp.\u00a0150\u2013163, 2013. https:\/\/doi.org\/10.1109\/tcsi.2012.2215780.","DOI":"10.1109\/TCSI.2012.2215780"},{"key":"2024011813223790984_j_auto-2023-0079_ref_026","doi-asserted-by":"crossref","unstructured":"W. W. Hager, \u201cUpdating the inverse of a matrix,\u201d SIAM Rev., vol.\u00a031, no.\u00a02, pp.\u00a0221\u2013239, 1989. https:\/\/doi.org\/10.1137\/1031049.","DOI":"10.1137\/1031049"},{"key":"2024011813223790984_j_auto-2023-0079_ref_027","doi-asserted-by":"crossref","unstructured":"O. Alsac, B. Stott, and W. F. Tinney, \u201cSparsity-oriented compensation methods for modified network solutions,\u201d IEEE Trans. Power Apparatus Syst., vol.\u00a0PAS-102, no.\u00a05, pp.\u00a01050\u20131060, 1983. https:\/\/doi.org\/10.1109\/mper.1983.5519138.","DOI":"10.1109\/TPAS.1983.318045"},{"key":"2024011813223790984_j_auto-2023-0079_ref_028","doi-asserted-by":"crossref","unstructured":"F. Milano, Power System Modelling and Scripting, Heidelberg, Springer, 2010.","DOI":"10.1007\/978-3-642-13669-6"},{"key":"2024011813223790984_j_auto-2023-0079_ref_029","unstructured":"T. A. Davis, UMFPACK User Guide, Version 5.6.2, 2013. Available at: https:\/\/www.suitesparse.com."},{"key":"2024011813223790984_j_auto-2023-0079_ref_030","doi-asserted-by":"crossref","unstructured":"H. K. \u00c7akmak and V. 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