131. OPTIMAL FILTERING FOR GRID EVENT DETECTION FROM REAL-TIME SYNCHROPHASOR DATA

Department: Mechanical & Aerospace Engineering
Research Institute Affiliation: San Diego Supercomputer Center (SDSC)
Faculty Advisor(s): Raymond A. De Callafon

Primary Student
Name: Sai Akhil Reddy Konakalla
Email: skonakal@ucsd.edu
Phone: 714-235-6892
Grad Year: 2020

Abstract
This poster presents an optimal filter estimation for real-time data processing to automatically detect dynamic transient effects in phasor data produced from a synchrophasor vector processing systems. The optimal filters are estimated on the basis of phasor data where no disturbances are present and the estimation problem is formulated as a least squares optimization. Event detection bounds are computed from variance estimates and events are detected by formulating conditions on the number of consecutive samples that filtered phasor signals are outside of the bounds. Event detection is illustrated on the phasor data obtained from a microPMU system developed by Power Standards Lab.

Industry Application Area(s)
Control Systems | Energy/Clean technology | Internet, Networking, Systems

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