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PSS Application In The Tarim Oilfield Power Grid

Posted on:2009-10-31Degree:MasterType:Thesis
Country:ChinaCandidate:L ChengFull Text:PDF
GTID:2132360245485945Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
With the introduction of fast excitation system and the increasingly spreading scale of power system, low frequency oscillation phenomenon is becoming more and more standing out. In recent years, the low frequency oscillation of power system in our country often occurs, it already becomes to a seriously problem on the stabilizing of power system.Dynamic stability is special important for large interconnected power systems. In past decades, the utilization of supplementary excitation control signals for improving dynamic stability of power systems has received much attention. Nowadays, the conventional power system stabilizer (PSS) is widely used by power system utilities. It is important to coordinate PSSs' parameters to achieve more agreeable dynamic performance of system and improve PSSs' robustness in different system operation conditions.Based on single-infinite bus system at first this paper analyzes the power system negative damping principle and reviews how to use negative damping principle to explain power system low frequency oscillation. Then the paper introduces the mathematic models about the power system elements such as electrical machine, prime motor, excitation system and load model etc and shows their suitable models for studying power system low frequency oscillation. And the paper sets up the different power system model to analyze the effect of the corresponding element. With eigenvalue analysis-one of the power system analysis methods the paper describes coefficient matrix and calculates eigenvalues and correlation matrices and discusses them. It works to fit with the normal voltage adjuster, in order to adjust the system to the steady state faster, to increase the stability of the power angle and to increase the voltage quality when the disturbance happens.
Keywords/Search Tags:Power System Stabilizer, Low Frequency Oscillation, Small Signal Stability Analysis, Back-propagation Neural Networks, Self Adaptive Control
PDF Full Text Request
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