DocumentCode :
515219
Title :
Asymptotic stability analysis on generalized intelligent coordinated control system of 600MW unit and engineering application
Author :
Zhong-xu, Han ; Ze-lei, Zhu
Author_Institution :
Power Syst. Digital Simulation Technol. Dept., China Electr. Power Res. Inst., Beijing, China
Volume :
1
fYear :
2010
fDate :
9-10 Jan. 2010
Firstpage :
599
Lastpage :
605
Abstract :
For overall interests of the entire power system stability, generator units should have faster and more flexible load response characteristics. Due to complexity of dynamic characteristics of controlled object in thermal control field and new problems are caused by large-capacity power generation equipments updated, many difficulties brings out for control system´s design and application. According to concepts and definitions of linear system theory, fussing multiple thinking modes of intelligent control, a generalized intelligent control system was designed and described by state space method in this paper. To explore sufficient condition of asymptotic stability by mathematical analysis, take overall asymptotic stability of control system as the premise, the approaches are given which improved the system rapidity in theory. Engineering practice verify the application effect. The system has opening designing manner that can accept and lodge novel technique method and control thinking of modern control field.
Keywords :
asymptotic stability; fuzzy control; intelligent control; power system stability; state-space methods; asymptotic stability analysis; fuzzy control; generalized intelligent coordinated control system; linear system theory; mathematical analysis; power 600 MW; power system stability; state feedback; state space method; thermal control field; Asymptotic stability; Character generation; Control systems; Intelligent control; Intelligent systems; Power engineering and energy; Power generation; Power system dynamics; Power system stability; System analysis and design; Asymptotic Stability and IFO-KΔx; Fuzzy Control; Generalized Intelligent Control; State Feedback;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Logistics Systems and Intelligent Management, 2010 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-7331-1
Type :
conf
DOI :
10.1109/ICLSIM.2010.5461350
Filename :
5461350
Link To Document :
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