{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/88976"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/88976","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Decentralized frequency control of power systems with deep penetration of wind-based generation","abstract":"The introduction of the highly variable and uncertain renewable resources into the power grid is calling for more control and regulation of the power system dynamics. In particular, the automatic generation control, which is responsible for maintaining the nominal system frequency and the scheduled real power interchange, needs to be modified to include unmodeled system dynamics and to account for disturbances from renewable resources. In this thesis, we work on a nonlinear differential algebraic model of the power system which takes into account the effect of the power network and includes wind power injections. We then propose two decentralized controllers that each would stabilize the system frequency and power interchange. The first controller is based on linear quadratic (LQ) optimal control followed by an optimization algorithm to increase the sparsity of the feedback gains. The other controller is designed using the theory of overlapping control and the inclusion principle. Each controller is applied separately on a 3-machine 6-bus 2-wind turbine nonlinear model, and the simulation is carried out using Simulink. A power flow program is run at each automatic generation control (AGC) cycle to update the power flow variables. Results show that we can design decentralized controllers for each control area that can successfully track the desired frequency regardless of the disturbances associated with wind-based generation. Furthermore, we show that the performance of these controllers is comparable to that of a centralized controller.","abstract_html":"The introduction of the highly variable and uncertain renewable resources into the power grid is calling for more control and regulation of the power system dynamics. In particular, the automatic generation control, which is responsible for maintaining the nominal system frequency and the scheduled real power interchange, needs to be modified to include unmodeled system dynamics and to account for disturbances from renewable resources. In this thesis, we work on a nonlinear differential algebraic model of the power system which takes into account the effect of the power network and includes wind power injections. We then propose two decentralized controllers that each would stabilize the system frequency and power interchange. The first controller is based on linear quadratic (LQ) optimal control followed by an optimization algorithm to increase the sparsity of the feedback gains. The other controller is designed using the theory of overlapping control and the inclusion principle. Each controller is applied separately on a 3-machine 6-bus 2-wind turbine nonlinear model, and the simulation is carried out using Simulink. A power flow program is run at each automatic generation control (AGC) cycle to update the power flow variables. Results show that we can design decentralized controllers for each control area that can successfully track the desired frequency regardless of the disturbances associated with wind-based generation. Furthermore, we show that the performance of these controllers is comparable to that of a centralized controller.","abstract_has_math":false,"creators":["Hirzallah, Nabil H K"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Electrical & Computer Engineering","degree_department":null,"school":null,"contributors":["Voulgaris, Petros"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016-03-02T19:33:32Z","date_published":"2016-03-02T19:33:32Z","updated_at":"2026-07-22T22:26:32Z","subjects":["wind","automatic generation control (AGC)","decentralized","network","control"],"languages":["en"],"rights":["Copyright 2015 Nabil Hirzallah"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/88976","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Voulgaris, Petros"]},{"key":"dc:creator","label":"Author","values":["Hirzallah, Nabil H K"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2016-03-02T19:33:32Z","2015-10-30","2015-12"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]},{"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":["wind","automatic generation control (AGC)","decentralized","network","control"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2015 Nabil Hirzallah"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/88976"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["The introduction of the highly variable and uncertain renewable resources into the power grid is calling for more control and regulation of the power system dynamics. In particular, the automatic generation control, which is responsible for maintaining the nominal system frequency and the scheduled real power interchange, needs to be modified to include unmodeled system dynamics and to account for disturbances from renewable resources. In this thesis, we work on a nonlinear differential algebraic model of the power system which takes into account the effect of the power network and includes wind power injections. We then propose two decentralized controllers that each would stabilize the system frequency and power interchange. The first controller is based on linear quadratic (LQ) optimal control followed by an optimization algorithm to increase the sparsity of the feedback gains. The other controller is designed using the theory of overlapping control and the inclusion principle. Each controller is applied separately on a 3-machine 6-bus 2-wind turbine nonlinear model, and the simulation is carried out using Simulink. A power flow program is run at each automatic generation control (AGC) cycle to update the power flow variables. Results show that we can design decentralized controllers for each control area that can successfully track the desired frequency regardless of the disturbances associated with wind-based generation. Furthermore, we show that the performance of these controllers is comparable to that of a centralized controller.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2016-03-02 without embargo terms","The student, Nabil Hirzallah, accepted the attached license on 2015-10-29 at 19:58.","The student, Nabil Hirzallah, submitted this Thesis for approval on 2015-10-29 at 20:07.","This Thesis was approved for publication on 2015-10-30 at 13:34.","DSpace SAF Submission Ingestion Package generated from Vireo submission #8750 on 2016-03-02 at 12:49:52","Made available in DSpace on 2016-03-02T19:33:32Z (GMT). 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In particular, the automatic generation control, which is responsible for maintaining the nominal system frequency and the scheduled real power interchange, needs to be modified to include unmodeled system dynamics and to account for disturbances from renewable resources. In this thesis, we work on a nonlinear differential algebraic model of the power system which takes into account the effect of the power network and includes wind power injections. We then propose two decentralized controllers that each would stabilize the system frequency and power interchange. The first controller is based on linear quadratic (LQ) optimal control followed by an optimization algorithm to increase the sparsity of the feedback gains. The other controller is designed using the theory of overlapping control and the inclusion principle. Each controller is applied separately on a 3-machine 6-bus 2-wind turbine nonlinear model, and the simulation is carried out using Simulink. A power flow program is run at each automatic generation control (AGC) cycle to update the power flow variables. Results show that we can design decentralized controllers for each control area that can successfully track the desired frequency regardless of the disturbances associated with wind-based generation. Furthermore, we show that the performance of these controllers is comparable to that of a centralized controller.","Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2016-03-02 without embargo terms","The student, Nabil Hirzallah, accepted the attached license on 2015-10-29 at 19:58.","The student, Nabil Hirzallah, submitted this Thesis for approval on 2015-10-29 at 20:07.","This Thesis was approved for publication on 2015-10-30 at 13:34.","DSpace SAF Submission Ingestion Package generated from Vireo submission #8750 on 2016-03-02 at 12:49:52","Made available in DSpace on 2016-03-02T19:33:32Z (GMT). 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