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Recent advances in the wide-area measurement system (WAMS) technology using phasor measurement units (PMU) have given a new impetus to control-oriented research in large-scale electric power systems. One of the main challenges in the dynamic analysis and control of power systems is the development of analytical tools from limited measurement data. In this talk I will address this problem and develop methods for model identification, dynamic stability assessment and controller designs for large power systems using PMU measurements. The discussion will be broadly divided into two parts. In Part-1, I'll present several novel coherency-based algorithms for constructing dynamic equivalents of different classes of radial power systems, with and without intermediate voltage control. In Part-2, I'll address the application of these equivalent models in wide-area monitoring and distributed damping control of multi-machine power systems using a novel control inversion approach. A brief note on how PMU's should be placed optimally in the network for generating the most accurate control strategies, especially when the PMU data are noisy and unreliable, will also be discussed. The overall motivation of the talk would be to understand how the WAMS technology can help us in gaining valuable insight about the physical behavior of the North American grid, which is becoming more expansive, and, hence, more chaotic day by day. Host: Misha Chertkov, chertkov@lanl.gov, 665-8119 |