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dc.contributor.advisorFurlani, Edward
dc.contributor.authorZhao, Yiting
dc.date.accessioned2018-06-28T18:55:48Z
dc.date.available2018-06-28T18:55:48Z
dc.date.issued2018
dc.date.submitted2018-05-16 20:47:42
dc.identifier.urihttp://hdl.handle.net/10477/77933
dc.descriptionPh.D.
dc.descriptionThe full text PDF of this dissertation is embargoed at author's request until 2020-06-08.
dc.description.abstractWith the rapid-growing penetration of sustainable energy and distributed generation, the increased size and complexity has challenged the contingency analysis of the present power system. Meanwhile, the current electric utility operating policies require that each utility’s power system must be able to withstand and recover from any “N-1” contingency analysis(“first contingency” or any single failure), and expects the real-time analysis as the key component of the “self-healing grid” of the future. The approach proposed in this dissertation is aiming to improve the computing performance for the dynamic contingency analysis. Firstly, the graph technology is introduced as the model of the power system, thanks to it has widely used in the Internet, social media, network security, traffic control, e-commerce and so on. Then more research is involved in conjugate gradient algorithm and specific preconditioning for the power system.
dc.formatapplication/pdf
dc.language.isoen
dc.publisherState University of New York at Buffalo
dc.rightsUsers of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.
dc.subjectElectrical engineering
dc.titleGraph-based Incomplete LU Preconditioning Conjugate Gradient Algorithm for “N-1” Contingency Analysisen_US
dc.typeDissertation
dc.typeText
dc.rights.holderCopyright retained by author.
dc.contributor.departmentElectrical Engineering


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