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Research On Synchronous Generator Fuzzy PID Excitation Control Based On PSO

Posted on:2011-03-02Degree:MasterType:Thesis
Country:ChinaCandidate:X B CuiFull Text:PDF
GTID:2232330395958058Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
The generator excitation control system is the important part of the power system. It can effectively guarantee the voltage quality and enhance the run stability of the power system. Therefore, excitation control has the significance to the running of the entire electrical power system.With the community’s increasing demand for electricity, power system becomes more and more complicated, which makes the traditional excitation control method unsatisfied. To solve this problem, scholars at home and abroad have combined traditional PID control and fuzzy control of intelligent control theory, and developed a variety of fuzzy PID excitation controllers. However, the parameters of general fuzzy controller can not change once determined, so it can not automatically adapt to the changes when the system parameters changed, and needs further improvement.In this thesis analyzes the development and actuality of generator excitation control rules, and based on fuzzy control theory and particle swarm optimization(PSO) algorithm, firstly the fuzzy PID excitation controller is put forward with time-varying and nonlinear of the controlled object of synchronous generator excitation control system. The controller combines their own advantages of fuzzy control and conventional PID control, which not only maintain simplicity and the precision characteristic of PID control but also display flexibility, adaptability, and quickness of fuzzy control. And then, to solve the premature problem of PSO, an improved PSO algorithm was proposed, and the improved PSO algorithm were tested through two examples. Improved PSO algorithm optimize the parameters of fuzzy PID excitation controller, and thus a near-optimal excitation controller has been realized. Finally, Fuzzy PID excitation control system based on improved PSO algorithm simulation tests are carried on and comparisons with excitation control without PID, the conventional PID excitation control, PSO optimization of conventional PID and fuzzy PID excitation control system excitation control system are performed. The results show that fuzzy PID excitation control system based on improved PSO has excellent dynamic and static quality and control effect, stronger robustness and adaptability.
Keywords/Search Tags:Synchronous Generator, Exctation Control, Particle swarm optimization, Fuzzy control, PID control
PDF Full Text Request
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