Title :
Application of fuzzy logic control in power system stabilisation
Author :
Naghdy, Fazel ; Koo, James
Author_Institution :
Dept. of Electr. & Comput. Eng., Wollongong Univ., NSW, Australia
Abstract :
The stabilisation of a power system has proved a challenging and difficult task. The nonlinearity of these systems has been the main source of the problem. The complex nonlinearised mathematical models of power systems should be linearly approximated before modern control theories can be applied to them. The linearised models are acceptable as long as the external disturbance to the system is small. In practice, however, the large variation in the external disturbances produces large errors which cannot be ignored. In this paper, fuzzy logic control (FLC) is applied to this problem. In order to illustrate the complexity of the modelling of the stabiliser, conventional methods used for defining its behaviour are described. The FLC designed for this problem is presented, and its performance, as compared to the conventional controller, is reported
Keywords :
control nonlinearities; electrical faults; fuzzy control; linearisation techniques; power system control; power system stability; complex nonlinearised mathematical models; control theories; errors; external disturbances; fuzzy logic control; linear approximation; linearised models; nonlinear systems; performance; power system stabilisation; stabiliser; Control systems; Damping; Equations; Fuzzy logic; Mathematical model; Power system control; Power system modeling; Power system transients; Power systems; Voltage;
Conference_Titel :
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4253-4
DOI :
10.1109/ICIPS.1997.672776