Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/98710
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dc.contributorDepartment of Electrical Engineeringen_US
dc.contributorResearch Institute for Smart Energyen_US
dc.contributorMainland Development Officeen_US
dc.creatorHu, Yen_US
dc.creatorBu, Sen_US
dc.creatorZhang, Xen_US
dc.creatorChung, CYen_US
dc.creatorCai, Hen_US
dc.date.accessioned2023-05-10T02:04:21Z-
dc.date.available2023-05-10T02:04:21Z-
dc.identifier.issn2196-5625en_US
dc.identifier.urihttp://hdl.handle.net/10397/98710-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rightsThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).en_US
dc.rightsThe following publication Hu, Y., Bu, S., Zhang, X., Chung, C. Y., & Cai, H. (2021). Connection between damping torque analysis and energy flow analysis in damping performance evaluation for electromechanical oscillations in power systems. Journal of Modern Power Systems and Clean Energy, 10(1), 19-28 is available at https://doi.org/10.35833/MPCE.2020.000413.en_US
dc.subjectDamping performanceen_US
dc.subjectDamping torque analysis (DTA)en_US
dc.subjectElectromechanical oscillationen_US
dc.subjectEnergy flow analysis (EFA)en_US
dc.subjectFrequency spectrumen_US
dc.titleConnection between damping torque analysis and energy flow analysis in damping performance evaluation for electromechanical oscillations in power systemsen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage19en_US
dc.identifier.epage28en_US
dc.identifier.volume10en_US
dc.identifier.issue1en_US
dc.identifier.doi10.35833/MPCE.2020.000413en_US
dcterms.abstractThe damping performance evaluation for electro-mechanical oscillations in power systems is crucial for the stable operation of modern power systems. In this paper, the connection between two commonly-used damping performance evaluation methods, i.e., the damping torque analysis (DTA) and energy flow analysis (EFA), are systematically examined and revealed for the better understanding of the oscillatory damping mechanism. First, a concept of the aggregated damping torque coefficient is proposed and derived based on DTA of multi-machine power systems, which can characterize the integration effect of the damping contribution from the whole power system. Then, the pre-processing of measurements at the terminal of a local generator is conducted for EFA, and a concept of the frequency-decomposed energy attenuation coefficient is defined to screen the damping contribution with respect to the interested frequency. On this basis, the frequency spectrum analysis of the energy attenuation coefficient is employed to rigorously prove that the results of DTA and EFA are essentially equivalent, which is valid for arbitrary types of synchronous generator models in multi-machine power systems. Additionally, the consistency between the aggregated damping torque coefficient and frequency-decomposed energy attenuation coefficient is further verified by the numerical calculation in case studies. The relationship between the proposed coefficients and the eigenvalue (or damping ratio) is finally revealed, which consolidates the application of the proposed concepts in the damping performance evaluation.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationJournal of modern power systems and clean energy, Jan. 2022, v. 10, no. 1, p. 19-28en_US
dcterms.isPartOfJournal of modern power systems and clean energyen_US
dcterms.issued2022-01-
dc.identifier.isiWOS:000747254500003-
dc.identifier.scopus2-s2.0-85124126357-
dc.identifier.eissn2196-5420en_US
dc.description.validate202305 bcvcen_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOS-
dc.description.fundingSourceRGCen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of China; Guangdong Science and Technology Department; Hong Kong Polytechnic Universityen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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