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To tuning Studies based dynamic identification of power system stabilizer parameters

Author: FuZuo
Tutor: PengZhiZuo
School: Guizhou University
Course: Proceedings of the
Keywords: Power system stabilizer Low-frequency oscillation Multi-objective Ant Colony Genetic Algorithm Interconnected power system Parameter optimization
CLC: TM712
Type: Master's thesis
Year: 2009
Downloads: 35
Quote: 0
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Abstract


As the regional power grid interconnection , the low frequency oscillation in power system operation and planning need to consider the important issues . The application of power system stabilizer (PSS) , has achieved significant results in the suppression of the low-frequency oscillation . PSS is an additional part of the excitation system , additional signal by extracting oscillation signal generator to produce additional damping torque , increases system electromechanical mode damping , thereby suppressing low-frequency oscillation of the system , and to improve the stability of the system . PSS damping controller to optimize the design of multi-machine power system is a very complex issue , and has important implications for improving the stability of the power system , has caused widespread concern of researchers at home and abroad , in recent research focus for the coming year is mainly concentrated in PSS parameters to optimize various optimization algorithms . In this paper, design method of multi-machine system PSS damping controller parameters optimization study and achieved the following results : Firstly, the low frequency oscillation mechanism introduced four categories of the mechanism of the current identity , and according to the negative damping mechanism of generation machines were used , followed by low-frequency oscillations in the third-order model , a simple analysis does not consider the excitation system low frequency oscillation , and then described the mathematical analysis of low frequency oscillation join the excitation system , thereby enabling PSS how to suppress low-frequency oscillation principle to visualize the final design of the PSS problem of how to access the input signal , comparing the advantages and disadvantages of PSS using four types of signal . Next paper proposes a multi-objective ant colony genetic algorithm for the design of a new PSS parameters , and preferences shared factor on the basis of the original algorithm , making use of multi-objective ant colony genetic algorithm model , decision-makers with a pair the objective function preference problem is resolved . Multi-objective ant colony genetic algorithm is applied to solving a two- area system PSS parameters , computer simulation and optimization results show that the design method of this article can be effective damping multi-machine system in a multi - mode oscillation of the system multiple PSS has played a good role in coordinating the static stability and transient stability of the system has been significantly improved .

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CLC: > Industrial Technology > Electrotechnical > Transmission and distribution engineering, power network and power system > Theory and Analysis > Power system stabilizer
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