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dc.contributorDepartment of Electrical Engineeringen_US
dc.contributor.advisorBu, Siqi (EEE)en_US
dc.creatorSun, Bohan-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/13109-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic Universityen_US
dc.rightsAll rights reserveden_US
dc.titleProbabilistic analysis of small signal stability based on multi-dimensional holomorphic embedding methoden_US
dcterms.abstractWith the increasing complexity of power systems, the requirements for power system stability are becoming more and more important, which places higher demands on the numerical simulation of power systems.en_US
dcterms.abstractHowever, the numerical method based on Monte Carlo Simulation is currently used in this field to obtain the deterministic small signal stability for each sample. However, the current numerical method based on Monte Carlo Simulation in this field requires a complete operation starting from the power flow for each sample, which is too repetitive.en_US
dcterms.abstractIn this paper, we propose a method for probabilistic analysis of small signal stability by using Multi-Dimensional Holomorphic Embedding Method(MDHEM) to obtain the Multivariable Power Series, which is a method that combines all the initial values of the deterministic small signal stability. This paper proposes a method to perform a probabilistic analysis of small signal stability using MDHEM by transcribing all the initial values used for deterministic small signal stability into the form of a power series to improve efficiency.en_US
dcterms.abstractThis dissertation proposes a method of probabilistic analysis that is fundamentally unchanged from the most traditional numerical method, so its accuracy can be theoretically guaranteed.en_US
dcterms.extentix, 53 pages : color illustrationsen_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2023en_US
dcterms.educationalLevelM.Sc.en_US
dcterms.educationalLevelAll Masteren_US
dcterms.LCSHElectric power system stabilityen_US
dcterms.LCSHElectric power systems -- Mathematical modelsen_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.accessRightsrestricted accessen_US

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/13109