Title :
Robust adaptive fuzzy excitation control of multi-machine, electric power system
Author :
Zhishan, Liang ; Kaiyan, Pan ; Huaguang, Zhang
Author_Institution :
Northeast China Electr. Power Inst., Jilin City, China
Abstract :
In this paper, an adaptive robust fuzzy controller is first proposed to enhance transient stability for power systems. An adaptive robust fuzzy systems approach to state feedback input/output linearizing controller is outlined. The analysis is based on a general nonlinear system, with uncertainties satisfying the matching conditions. The adaptive fuzzy system is incorporated into the control system as an outer feedback loop to increase the robustness of the i/o linearizing controller. The adaptive fuzzy system is also intended to add “intelligence” with the conventional i/o linearizing controller. The design of the resulting controller is independent of the operating points. Simulation results of a three-machines system show that transient stability of a power system can be improved under a large sudden fault
Keywords :
adaptive control; control system synthesis; fuzzy control; linearisation techniques; nonlinear control systems; power system control; power system transient stability; robust control; state feedback; intelligence; matching conditions; multi-machine power system; nonlinear control; operating points; outer feedback loop; power system transient stability enhancement; robust adaptive fuzzy excitation control; state feedback input/output linearizing controller; three-machine power system; uncertainties; Adaptive control; Adaptive systems; Control systems; Fuzzy control; Fuzzy systems; Linear feedback control systems; Power system stability; Power system transients; Programmable control; Robust control;
Conference_Titel :
Power System Technology, 1998. Proceedings. POWERCON '98. 1998 International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4754-4
DOI :
10.1109/ICPST.1998.729196