{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/24086"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/24086","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Assessing Renewable Resource Penetration on Power System Small-Signal Reachability","abstract":"This thesis proposes a method to assess the impact on power system dynamic performance caused by uncertainty in the system supply side. Operational uncertainty, e.g., demand variability, is not new to power systems. However, with the increased penetration of renewable-based generation, operational uncertainty will extend to a significant portion of the supply side, which may have an impact on system dynamic performance, e.g., frequency or voltage deviations beyond prescribed operational requirements. To address the problem, we propose the use of reachability analysis techniques, which provide bounds on worst-case deviations of system variables that must remain within certain operational constraints. We assume the input disturbance caused by the renewable-based generation is small enough to justify linearization of the power system around a nominal trajectory. If the reach set is within the region defined by system operational requirements, then we conclude the disturbance caused by the renewable resource does not have a significant impact on system dynamic performance. The method is illustrated with several case studies. In particular, we show the method successfully provides reachability results for a sizable benchmark system that contains 140 buses and 48 synchronous machines, which accounts for a total of 294 dynamic states.","abstract_html":"This thesis proposes a method to assess the impact on power system dynamic performance caused by uncertainty in the system supply side. Operational uncertainty, e.g., demand variability, is not new to power systems. However, with the increased penetration of renewable-based generation, operational uncertainty will extend to a significant portion of the supply side, which may have an impact on system dynamic performance, e.g., frequency or voltage deviations beyond prescribed operational requirements. To address the problem, we propose the use of reachability analysis techniques, which provide bounds on worst-case deviations of system variables that must remain within certain operational constraints. We assume the input disturbance caused by the renewable-based generation is small enough to justify linearization of the power system around a nominal trajectory. If the reach set is within the region defined by system operational requirements, then we conclude the disturbance caused by the renewable resource does not have a significant impact on system dynamic performance. The method is illustrated with several case studies. In particular, we show the method successfully provides reachability results for a sizable benchmark system that contains 140 buses and 48 synchronous machines, which accounts for a total of 294 dynamic states.","abstract_has_math":false,"creators":["Chen, Yu"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"M.S.","degree_level":"Thesis","degree_discipline":"Electrical & Computer Engr","degree_department":null,"school":null,"contributors":["Domínguez-García, Alejandro D."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2011,"date_issued":"2011-05-25T15:04:24Z","date_published":"2011-05-25T15:04:24Z","updated_at":"2026-07-22T22:25:23Z","subjects":["power system dynamics","renewable resource integration","small-signal","reachability"],"languages":["en"],"rights":["Copyright 2011 Yu Chen"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/24086","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Domínguez-García, Alejandro D."]},{"key":"dc:creator","label":"Author","values":["Chen, Yu"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2011-05-25T15:04:24Z","2011-05"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Computer Engr"]},{"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":["power system dynamics","renewable resource integration","small-signal","reachability"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2011 Yu Chen"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/24086"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["This thesis proposes a method to assess the impact on power system dynamic performance caused by uncertainty in the system supply side. Operational uncertainty, e.g., demand variability, is not new to power systems. However, with the increased penetration of renewable-based generation, operational uncertainty will extend to a significant portion of the supply side, which may have an impact on system dynamic performance, e.g., frequency or voltage deviations beyond prescribed operational requirements. To address the problem, we propose the use of reachability analysis techniques, which provide bounds on worst-case deviations of system variables that must remain within certain operational constraints. We assume the input disturbance caused by the renewable-based generation is small enough to justify linearization of the power system around a nominal trajectory. If the reach set is within the region defined by system operational requirements, then we conclude the disturbance caused by the renewable resource does not have a significant impact on system dynamic performance. The method is illustrated with several case studies. In particular, we show the method successfully provides reachability results for a sizable benchmark system that contains 140 buses and 48 synchronous machines, which accounts for a total of 294 dynamic states.","Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2011-04-13T20:24:02Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Chen_Yu.pdf: 1585342 bytes, checksum: 18fd49257b398934e3f9726fbaef8eb3 (MD5)","Made available in DSpace on 2011-05-25T15:04:24Z (GMT). No. of bitstreams: 2 Chen_Yu.pdf: 1585342 bytes, checksum: 18fd49257b398934e3f9726fbaef8eb3 (MD5) license.txt: 4056 bytes, checksum: 7d8333cf1caaeed112042a526f3bc57a (MD5)"]},{"key":"dc:title","label":"Title","values":["Assessing Renewable Resource Penetration on Power System Small-Signal Reachability"]}]}],"canonical_facts":{"dc:contributor":["Domínguez-García, Alejandro D."],"dc:creator":["Chen, Yu"],"dc:date":["2011-05-25T15:04:24Z","2011-05"],"dc:description":["This thesis proposes a method to assess the impact on power system dynamic performance caused by uncertainty in the system supply side. Operational uncertainty, e.g., demand variability, is not new to power systems. However, with the increased penetration of renewable-based generation, operational uncertainty will extend to a significant portion of the supply side, which may have an impact on system dynamic performance, e.g., frequency or voltage deviations beyond prescribed operational requirements. To address the problem, we propose the use of reachability analysis techniques, which provide bounds on worst-case deviations of system variables that must remain within certain operational constraints. We assume the input disturbance caused by the renewable-based generation is small enough to justify linearization of the power system around a nominal trajectory. If the reach set is within the region defined by system operational requirements, then we conclude the disturbance caused by the renewable resource does not have a significant impact on system dynamic performance. The method is illustrated with several case studies. In particular, we show the method successfully provides reachability results for a sizable benchmark system that contains 140 buses and 48 synchronous machines, which accounts for a total of 294 dynamic states.","Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2011-04-13T20:24:02Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Chen_Yu.pdf: 1585342 bytes, checksum: 18fd49257b398934e3f9726fbaef8eb3 (MD5)","Made available in DSpace on 2011-05-25T15:04:24Z (GMT). No. of bitstreams: 2 Chen_Yu.pdf: 1585342 bytes, checksum: 18fd49257b398934e3f9726fbaef8eb3 (MD5) license.txt: 4056 bytes, checksum: 7d8333cf1caaeed112042a526f3bc57a (MD5)"],"dc:identifier":["http://hdl.handle.net/2142/24086"],"dc:language":["en"],"dc:rights":["Copyright 2011 Yu Chen"],"dc:subject":["power system dynamics","renewable resource integration","small-signal","reachability"],"dc:title":["Assessing Renewable Resource Penetration on Power System Small-Signal Reachability"],"thesis:degree_discipline":["Electrical & Computer Engr"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois at Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:23Z"}