Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/92072
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dc.contributorDepartment of Electrical Engineering-
dc.creatorWen, JX-
dc.creatorBu, SQ-
dc.creatorXin, HH-
dc.date.accessioned2022-02-07T07:05:55Z-
dc.date.available2022-02-07T07:05:55Z-
dc.identifier.urihttp://hdl.handle.net/10397/92072-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rightsThis work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/en_US
dc.rightsThe following publication Wen, J., Bu, S., & Xin, H. (2021). Probabilistic Assessment on Area-Level Frequency Nadir/Vertex for Operational Planning. IEEE Open Access Journal of Power and Energy, 8, 341-351 is available at https://doi.org/10.1109/OAJPE.2021.3108428en_US
dc.subjectOperational planningen_US
dc.subjectProbabilistic assessmenten_US
dc.subjectFrequency nadir/vertex (FN/FV)en_US
dc.subjectMulti-point sensitivity (MPS)en_US
dc.subjectMulti-interval sensitivity (MIS)en_US
dc.titleProbabilistic assessment on area-level frequency nadir/vertex for operational planningen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage341-
dc.identifier.epage351-
dc.identifier.volume8-
dc.identifier.doi10.1109/OAJPE.2021.3108428-
dcterms.abstractLocal heterogeneity of the frequency response of modern grids becomes more severe than ever before due to 1) weaker grid connection strength brought by the favorable grid interconnection, and 2) more uncertainties and less system inertia brought by the increasing renewable integration. This dominant characteristic is difficult to be accurately characterized and evaluated by the classic aggregated system frequency response (SFR) model. Therefore, this paper proposes a framework for assessing the risk of area-level frequency nadir/vertex (FN/FV) for operational planning in a practical and effective manner. Firstly, a multi-point sensitivity (MPS) is proposed based on the classical SFR model to evaluate the system FN/FV, where the impact of different Renewable Energy Sources (RESs) on system FN/FV are considered. The method can be extended for regional frequency evaluation, but the influence of generator frequency oscillation cannot be effectively considered, which might impact assessment accuracy. To address this issue, a multi-interval sensitivity (MIS) method is further proposed to calculate the probabilistic distribution of the area-level FN/FV. The probabilistic results are evaluated by the FN/FV RAM, i.e., Risk Assessment Matrix, to provide a two-dimensional analysis for system operational planners. The accuracy and efficiency of the proposed MPS and MIS methods are critically validated via scenario-based simulation (SBS) in a modified IEEE 16-machine 68-bus benchmark system.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIEEE open access journal of power and energy, 2021, v. 8, p. 341-351-
dcterms.isPartOfIEEE open access journal of power and energy-
dcterms.issued2021-
dc.identifier.isiWOS:000696407000001-
dc.identifier.eissn2687-7910-
dc.description.validate202202 bchy-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_Scopus/WOSen_US
dc.description.fundingSourceOthersen_US
dc.description.fundingTextThis work was supported in part by the National Natural Science Foundation of China for the Research Project under Grant 52077188 and Grant 51922094, in part by Guangdong Science and Technology Department for the Research Project under Grant 2019A1515011226, and in part by Hong Kong Research Grant Council for the Research Project under Grant 15219619.en_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryCCen_US
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