Title page for ETD etd-02192009-060559


Type of Document Dissertation
Author Wang, Joshua Kevin
Author's Email Address jowang1@vt.edu
URN etd-02192009-060559
Title Identification, Analysis, and Control of Power System Events Using Wide-Area Frequency Measurements
Degree PhD
Department Electrical and Computer Engineering
Advisory Committee
Advisor Name Title
Liu, Yilu Committee Co-Chair
Thorp, James S. Committee Co-Chair
Baumann, William T. Committee Member
Conners, Richard W. Committee Member
Gugercin, Serkan Committee Member
Keywords
  • Power Systems
  • Pattern Recognition
  • Wide-Area Monitoring and Control
Date of Defense 2009-01-27
Availability unrestricted
Abstract
The power system has long been operated in a shroud of introspection. Only recently have dynamic, wide-area time synchronized grid measurements brought to light the complex relationships between large machines thousands of miles apart. These measurements are invaluable to understanding the health of the system in real time, for disturbances to the balance between generation and load are manifest in the propagation of electromechanical waves throughout the grid. The global perspective of wide-area measurements provides a platform from which the destructive effects of these disturbances can be avoided. Virginia Tech's distributed network of low voltage frequency monitors, FNET, is able to track these waves as they travel throughout the North American interconnected grids. In contrast to other wide-area measurement systems, the ability to easily measure frequency throughout the grid provides a way to identify, locate, and analyze disturbances with high dynamic accuracy. The unique statistical properties of wide-area measurements require robust tools in order to accurately understand the nature of these events. Expert systems and data conditioning can then be used to quantify the magnitude and location of these disturbances without requiring any knowledge of the system state or topology. Adaptive application of these robust methods form the basis for real-time situational awareness and control. While automated control of the power system rarely utilize wide-area measurements, global insight into grid behavior can only improve disturbance rejection.
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