A Self-tuning power system stabilizer
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AbstractThis thesis proposes a new self-tuning control strategy. This control strategy makes use of the recursive least squares identification technique with a variable forgetting factor and the poleshifting self-tuning control method with the variable pole-shifting factor. The use of the variable forgetting factor guarantees good parameter tracking and the variable pole-shifting factor always results in a very smooth control action and a very stable closed-loop system. A self-tuning power system stabilizer based on the proposed self-tuning control strategy is investigated extensively in the thesis from different aspects. A single-machine infinite -bus system is used to simulate the property of the proposed stabilizer in improving the system dynamic stability and transient stability. A multi-machine power system with an infinite bus is used to investigate the ability of the proposed stabilizer to cooperate with other stabilizers and the inter-connections between the various parts of a large power system. A multi-machine model with the multi-mode oscillations is used to examine the performance of the proposed stabilizer in damping out both the local and the inter-tie oscillations. A single-machine infinite-bus system with the series capacitor compensated transmission line is used to study the interaction between the proposed stabilizer and the sub-synchronous resonance problem. All these results show that the proposed stabilizer works effectively in various power system situations. A dual rate self-tuning control technique presented in this thesis aims to further improve the performance of the proposed self-tuning control strategy. In this technique the system identification and the control are performed separately. In this way, the control rate of the micro-computer based self-tuning controller can be increased considerably. Simulation of a stabilizer using dual rate self tuning control technique shows a greatly improved performance. Implementation of the dual rate self-tuning power system stabilizer and the on-line test results are also presented in this thesis. The laboratory environment implementation results verify the theoretical analysis and the simulation results, and show the possibility of the practical use of the proposed self-tuning stabilizer.
Bibliography: p. 221-232.
CitationCheng, S. (1986). A Self-tuning power system stabilizer (Unpublished doctoral thesis). University of Calgary, Calgary, AB. doi:10.11575/PRISM/19616
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