{"id":{"repo_id":"utc","oai_identifier":"oai:scholar.utc.edu:theses-1753"},"canonical_url":"https://search.dev.ndltd.org/etd/utc/oai:scholar.utc.edu:theses-1753","repository":{"repo_id":"utc","name":"University of Tennessee - Chattanooga","base_url":"https://scholar.utc.edu/do/oai/"},"display":{"title":"A two step predictor-corrector method for voltage collapse point estimation","abstract":"Voltage Collapse is the system failure to obtain acceptable voltage levels in significant part of the power system, and it is often due to system failure to satisfy reactive power demand. Voltage Collapse can lead to blackout like the one occurred in 2003 in North America. Methods for on-line voltage stability monitoring were established, and indices to quantify it were proposed. However, estimations of voltage collapse point based on these indices are often inaccurate or time consuming. A well-established method of voltage collapse point estimation is the Continuation Power Flow (CPF). CPF is considered accurate but, it is very computationally expensive for large systems. This work aims to speed up the predictor-corrector process by using a VSI called P-index. An initial prediction is made, corrected using a continuation technique, and then updated after correction. The results are relatively accurate and it makes a significant improvement to the CPF computational time.","abstract_html":"Voltage Collapse is the system failure to obtain acceptable voltage levels in significant part of the power system, and it is often due to system failure to satisfy reactive power demand. Voltage Collapse can lead to blackout like the one occurred in 2003 in North America. Methods for on-line voltage stability monitoring were established, and indices to quantify it were proposed. However, estimations of voltage collapse point based on these indices are often inaccurate or time consuming. A well-established method of voltage collapse point estimation is the Continuation Power Flow (CPF). CPF is considered accurate but, it is very computationally expensive for large systems. This work aims to speed up the predictor-corrector process by using a VSI called P-index. An initial prediction is made, corrected using a continuation technique, and then updated after correction. The results are relatively accurate and it makes a significant improvement to the CPF computational time.","abstract_has_math":false,"creators":["Ali, Anas Yousif"],"institution":"University of Tennessee at Chattanooga","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Karrar, Abdelrahman A.","Eltom, Ahmed H.; Kobet, Gary L.","College of Engineering and Computer Science"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2020,"date_issued":"2020-07-01T07:00:00Z","date_published":"2020-07-01T07:00:00Z","updated_at":"2026-07-24T05:46:59Z","subjects":["Electric power system stability","Electric power systems -- Control"],"languages":["English","eng"],"rights":[],"rights_urls":["https://rightsstatements.org/page/InC/1.0/?language=en"],"identifier_entries":[]},"links":{"outbound_url":"https://scholar.utc.edu/theses/591","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Karrar, Abdelrahman A.","Eltom, Ahmed H.; Kobet, Gary L.","College of Engineering and Computer Science"]},{"key":"dc:creator","label":"Author","values":["Ali, Anas Yousif"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2019-05-01T07:00:00Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2020-07-01T07:00:00Z"]},{"key":"dc:publisher","label":"Institution","values":["University of Tennessee at Chattanooga","Chattanooga (Tenn.)"]},{"key":"dc:relation","label":"Dc Relation","values":["Masters Theses and Doctoral Dissertations"]},{"key":"dc:type","label":"Dc Type","values":["Masters theses","Text"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Electric power system stability","Electric power systems -- Control"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["https://rightsstatements.org/page/InC/1.0/?language=en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholar.utc.edu/theses/591"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Dept. of Electrical Engineering","M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science."]},{"key":"dc:description.abstract","label":"Abstract","values":["Voltage Collapse is the system failure to obtain acceptable voltage levels in significant part of the power system, and it is often due to system failure to satisfy reactive power demand. Voltage Collapse can lead to blackout like the one occurred in 2003 in North America. Methods for on-line voltage stability monitoring were established, and indices to quantify it were proposed. However, estimations of voltage collapse point based on these indices are often inaccurate or time consuming. A well-established method of voltage collapse point estimation is the Continuation Power Flow (CPF). CPF is considered accurate but, it is very computationally expensive for large systems. This work aims to speed up the predictor-corrector process by using a VSI called P-index. An initial prediction is made, corrected using a continuation technique, and then updated after correction. The results are relatively accurate and it makes a significant improvement to the CPF computational time."]},{"key":"dc:title","label":"Title","values":["A two step predictor-corrector method for voltage collapse point estimation"]}]}],"canonical_facts":{"dc:contributor":["Karrar, Abdelrahman A.","Eltom, Ahmed H.; Kobet, Gary L.","College of Engineering and Computer Science"],"dc:creator":["Ali, Anas Yousif"],"dc:date":["2019-05-01T07:00:00Z"],"dc:date.available":["2020-07-01T07:00:00Z"],"dc:description":["Dept. of Electrical Engineering","M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science."],"dc:description.abstract":["Voltage Collapse is the system failure to obtain acceptable voltage levels in significant part of the power system, and it is often due to system failure to satisfy reactive power demand. Voltage Collapse can lead to blackout like the one occurred in 2003 in North America. Methods for on-line voltage stability monitoring were established, and indices to quantify it were proposed. However, estimations of voltage collapse point based on these indices are often inaccurate or time consuming. A well-established method of voltage collapse point estimation is the Continuation Power Flow (CPF). CPF is considered accurate but, it is very computationally expensive for large systems. This work aims to speed up the predictor-corrector process by using a VSI called P-index. An initial prediction is made, corrected using a continuation technique, and then updated after correction. The results are relatively accurate and it makes a significant improvement to the CPF computational time."],"dc:identifier":["https://scholar.utc.edu/theses/591"],"dc:language":["English","eng"],"dc:publisher":["University of Tennessee at Chattanooga","Chattanooga (Tenn.)"],"dc:relation":["Masters Theses and Doctoral Dissertations"],"dc:rights":["https://rightsstatements.org/page/InC/1.0/?language=en"],"dc:subject":["Electric power system stability","Electric power systems -- Control"],"dc:title":["A two step predictor-corrector method for voltage collapse point estimation"],"dc:type":["Masters theses","Text"]},"updated_at":"2026-07-24T05:46:59Z"}