{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/21302"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/21302","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"High speed dynamic simulation of power systems","abstract":"One of the Dynamic Security Assessment (DSA) tools that electric utilities use is transient stability software. In the changing utility industry, these tools will be relied on even more in the future, as transmission systems become more stressed. A problem with time domain transient stability simulations is that they often require large amounts of computer resources. Much research has and is being done in an attempt to reduce the computational time required by these simulations. This thesis considers two approaches to this problem. The first approach is to use a predictor-corrector integration scheme to simulate the power system. In this approach, the classical model of a generator, with linear load models, is considered.","abstract_html":"One of the Dynamic Security Assessment (DSA) tools that electric utilities use is transient stability software. In the changing utility industry, these tools will be relied on even more in the future, as transmission systems become more stressed. A problem with time domain transient stability simulations is that they often require large amounts of computer resources. Much research has and is being done in an attempt to reduce the computational time required by these simulations. This thesis considers two approaches to this problem. The first approach is to use a predictor-corrector integration scheme to simulate the power system. In this approach, the classical model of a generator, with linear load models, is considered.","abstract_has_math":false,"creators":["Kulkarni, Ajit Yashavant"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Electrical Engineering","degree_department":null,"school":null,"contributors":["Pai, M.A."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2011,"date_issued":"2011-05-07T13:04:40Z","date_published":"2011-05-07T13:04:40Z","updated_at":"2026-07-22T22:25:17Z","subjects":["Engineering, Electronics and Electrical"],"languages":["eng"],"rights":["Copyright 1996 Kulkarni, Ajit Yashavant"],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["9780591198720","AAI9712340","(UMI)AAI9712340"],"render_values":[{"text":"9780591198720","href":null,"code":true},{"text":"AAI9712340","href":null,"code":true},{"text":"(UMI)AAI9712340","href":null,"code":true}]}]},"links":{"outbound_url":"http://hdl.handle.net/2142/21302","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Pai, M.A."]},{"key":"dc:creator","label":"Author","values":["Kulkarni, Ajit Yashavant"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2011-05-07T13:04:40Z","10000-01-01","1996"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Engineering, Electronics and Electrical"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["eng"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 1996 Kulkarni, Ajit Yashavant"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["9780591198720","AAI9712340","(UMI)AAI9712340","http://hdl.handle.net/2142/21302"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["One of the Dynamic Security Assessment (DSA) tools that electric utilities use is transient stability software. In the changing utility industry, these tools will be relied on even more in the future, as transmission systems become more stressed. A problem with time domain transient stability simulations is that they often require large amounts of computer resources. Much research has and is being done in an attempt to reduce the computational time required by these simulations. This thesis considers two approaches to this problem. The first approach is to use a predictor-corrector integration scheme to simulate the power system. In this approach, the classical model of a generator, with linear load models, is considered.","In the second approach, methods from the Krylov subspace family of methods are considered, within the framework of the Simultaneous Implicit (SI) approach. Thus, the latter are used, with the trapezoidal integration scheme and the Newton-Raphson method, to simulate detailed power system models. The two-axis model for generators, with an IEEE type I excitation system and nonlinear load models, is used. The Krylov subspace family of methods generally performs well on vector and parallel computers, as well as on sequential machines. Only limited success was achieved with the traditional application of these methods. However, good results were obtained by designing and using the dishonest preconditioner (DP), a preconditioning strategy designed for the transient stability problem. The DP has parameters that can be used to tune it for the specific power system being simulated. Although it was not considered in this work, the framework of the DP could allow the simultaneous use of more than one linear solver technique.","Made available in DSpace on 2011-05-07T13:04:40Z (GMT). No. of bitstreams: 2 license.txt: 4922 bytes, checksum: 910b249b4beec47e7ab768910c8f966f (MD5) 9712340.pdf: 3678663 bytes, checksum: 60171ab6a9fbc6e61cbe45a89e90df5e (MD5) Previous issue date: 1996","Item marked as restricted to the 'UIUC Users [automated]' Group (id=2) by Howard Ding (hding2@illinois.edu) on 2011-05-07T14:49:51Z Item is restricted indefinitely.","Restriction data tranferred 2014-07-01T11:22:43-05:00 Original Data Group with Access UIUC Users [automated] Release Date: none Reason: ETDs are only available to UIUC Users without author permission","ETDs are only available to UIUC Users without author permission","U of I Only"]},{"key":"dc:title","label":"Title","values":["High speed dynamic simulation of power systems"]}]}],"canonical_facts":{"dc:contributor":["Pai, M.A."],"dc:creator":["Kulkarni, Ajit Yashavant"],"dc:date":["2011-05-07T13:04:40Z","10000-01-01","1996"],"dc:description":["One of the Dynamic Security Assessment (DSA) tools that electric utilities use is transient stability software. In the changing utility industry, these tools will be relied on even more in the future, as transmission systems become more stressed. A problem with time domain transient stability simulations is that they often require large amounts of computer resources. Much research has and is being done in an attempt to reduce the computational time required by these simulations. This thesis considers two approaches to this problem. The first approach is to use a predictor-corrector integration scheme to simulate the power system. In this approach, the classical model of a generator, with linear load models, is considered.","In the second approach, methods from the Krylov subspace family of methods are considered, within the framework of the Simultaneous Implicit (SI) approach. Thus, the latter are used, with the trapezoidal integration scheme and the Newton-Raphson method, to simulate detailed power system models. The two-axis model for generators, with an IEEE type I excitation system and nonlinear load models, is used. The Krylov subspace family of methods generally performs well on vector and parallel computers, as well as on sequential machines. Only limited success was achieved with the traditional application of these methods. However, good results were obtained by designing and using the dishonest preconditioner (DP), a preconditioning strategy designed for the transient stability problem. The DP has parameters that can be used to tune it for the specific power system being simulated. Although it was not considered in this work, the framework of the DP could allow the simultaneous use of more than one linear solver technique.","Made available in DSpace on 2011-05-07T13:04:40Z (GMT). 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