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Error Detection and Error Correction for PMU Data as Applied to Power System State Estimators


Abstract In modern electric power systems, energy management systems (EMSs) are responsi-ble for monitoring and controlling the generation system and transmission networks. State estimation (SE) is a critical `must run successful' component within the EMS software. This is dictated by the high reliability requirements and need to represent the closest real time model for market operations and other critical analysis functions in the EMS. Tradi-tionally, SE is run with data obtained only from supervisory control and data acquisition (SCADA) devices and systems. However, more emphasis on improving the performance of SE drives the inclusion of phasor measurement units (PMUs) into SE input data. PMU measurements are claimed to be more accurate than ... (more)
Created Date 2013
Contributor Murugesan, Veerakumar (Author) / Vittal, Vijay (Advisor) / Heydt, Gerald (Advisor) / Vittal, Vijay (Committee member) / Heydt, Gerald (Committee member) / Ayyanar, Raja (Committee member) / Arizona State University (Publisher)
Subject Electrical engineering / Engineering / Buffer length / hypothesis testing / Mean and variance shift / Phasor measurement units / shift detection / State estimation
Type Masters Thesis
Extent 108 pages
Language English
Copyright
Reuse Permissions All Rights Reserved
Note M.S. Electrical Engineering 2013
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS


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Description Dissertation/Thesis