The phasor measurement unit (PMU) is a networked, GPS time-synchronized wide-area-monitoring device for modern power transmission systems. The recent and widespread adoption of these devices will provide a wealth of information about the dynamic state of the power system. However, the increasing number of measurement points and high data reporting rates make real-time human interpretation of large data sets problematic. Thus, this work presents a method for the real-time automated analysis and visualization of time-synchronized phasor measurements for online event detection, location, and system characterization. The method employs cross-correlation and wavelet multi-resolution signal processing techniques for noise removal. Finally, the technique is implemented in Matlab and applied to simulated phasor measurements from an IEEE 14-bus test system implemented in PSCAD/EMTDC, in addition to a real-world phasor measurement data set.
","abstract_html":"<p>The phasor measurement unit (PMU) is a networked, GPS time-synchronized wide-area-monitoring device for modern power transmission systems. The recent and widespread adoption of these devices will provide a wealth of information about the dynamic state of the power system. However, the increasing number of measurement points and high data reporting rates make real-time human interpretation of large data sets problematic. Thus, this work presents a method for the real-time automated analysis and visualization of time-synchronized phasor measurements for online event detection, location, and system characterization. The method employs cross-correlation and wavelet multi-resolution signal processing techniques for noise removal. Finally, the technique is implemented in Matlab and applied to simulated phasor measurements from an IEEE 14-bus test system implemented in PSCAD/EMTDC, in addition to a real-world phasor measurement data set.</p>","abstract_has_math":false,"creators":["Lukens, Matthew Ryan"],"institution":null,"degree_name":"M.S.","degree_level":"Campus Access Thesis","degree_discipline":"Electrical Engineering","degree_department":null,"school":null,"contributors":["Yong-June Shin","Charles Brice"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2012,"date_issued":"2012-01-01T08:00:00Z","date_published":"2012-01-01T08:00:00Z","updated_at":"2026-07-24T04:38:31Z","subjects":["Electrical and Computer Engineering","Electrical and Electronics","Engineering","cross-correlation","phasor measurement unit (PMU)","power systems","signal processing","wavelet analysis","wide area monitoring (WAM)"],"languages":[],"rights":["© 2012, Matthew Ryan Lukens"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://scholarcommons.sc.edu/etd/2192","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Yong-June Shin","Charles Brice"]},{"key":"dc:creator","label":"Author","values":["Lukens, Matthew Ryan"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Campus Access Thesis"]},{"key":"thesis:degree_name","label":"Degree Name","values":["M.S."]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Electrical and Computer Engineering","Electrical and Electronics","Engineering","cross-correlation","phasor measurement unit (PMU)","power systems","signal processing","wavelet analysis","wide area monitoring (WAM)"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["© 2012, Matthew Ryan Lukens"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholarcommons.sc.edu/etd/2192"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["The phasor measurement unit (PMU) is a networked, GPS time-synchronized wide-area-monitoring device for modern power transmission systems. The recent and widespread adoption of these devices will provide a wealth of information about the dynamic state of the power system. However, the increasing number of measurement points and high data reporting rates make real-time human interpretation of large data sets problematic. Thus, this work presents a method for the real-time automated analysis and visualization of time-synchronized phasor measurements for online event detection, location, and system characterization. The method employs cross-correlation and wavelet multi-resolution signal processing techniques for noise removal. Finally, the technique is implemented in Matlab and applied to simulated phasor measurements from an IEEE 14-bus test system implemented in PSCAD/EMTDC, in addition to a real-world phasor measurement data set.
"]},{"key":"dc:title","label":"Title","values":["Application of Wavelet Analysis and Cross-Correlation Techniques to Wide Area Monitoring of Power Systems"]}]}],"canonical_facts":{"dc:contributor":["Yong-June Shin","Charles Brice"],"dc:creator":["Lukens, Matthew Ryan"],"dc:description.abstract":["The phasor measurement unit (PMU) is a networked, GPS time-synchronized wide-area-monitoring device for modern power transmission systems. The recent and widespread adoption of these devices will provide a wealth of information about the dynamic state of the power system. However, the increasing number of measurement points and high data reporting rates make real-time human interpretation of large data sets problematic. Thus, this work presents a method for the real-time automated analysis and visualization of time-synchronized phasor measurements for online event detection, location, and system characterization. The method employs cross-correlation and wavelet multi-resolution signal processing techniques for noise removal. Finally, the technique is implemented in Matlab and applied to simulated phasor measurements from an IEEE 14-bus test system implemented in PSCAD/EMTDC, in addition to a real-world phasor measurement data set.
"],"dc:identifier":["https://scholarcommons.sc.edu/etd/2192"],"dc:rights":["© 2012, Matthew Ryan Lukens"],"dc:subject":["Electrical and Computer Engineering","Electrical and Electronics","Engineering","cross-correlation","phasor measurement unit (PMU)","power systems","signal processing","wavelet analysis","wide area monitoring (WAM)"],"dc:title":["Application of Wavelet Analysis and Cross-Correlation Techniques to Wide Area Monitoring of Power Systems"],"thesis:degree_discipline":["Electrical Engineering"],"thesis:degree_level":["Campus Access Thesis"],"thesis:degree_name":["M.S."]},"updated_at":"2026-07-24T04:38:31Z"}