Application of Wavelet Analysis and Cross-Correlation Techniques to Wide Area Monitoring of Power Systems

<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>

Name thesis:degree_name

M.S.

Level thesis:degree_level

Campus Access Thesis

Discipline thesis:degree_discipline

Electrical Engineering

Year

2012

Author dc:creator

• Lukens, Matthew Ryan

Contributors dc:contributor

• Yong-June Shin
• Charles Brice

• Electrical and Computer Engineering
• Electrical and Electronics
• Engineering
• cross-correlation
• phasor measurement unit (PMU)
• power systems
• signal processing
• wavelet analysis
• wide area monitoring (WAM)

Statement dc:rights

• © 2012, Matthew Ryan Lukens

Repository record dc:identifier

https://scholarcommons.sc.edu/etd/2192

OAI identifier oai:identifier

oai:scholarcommons.sc.edu:etd-3193