Abstract: An intelligent power system stabilizer FSMC-PSS relying on a fuzzy supervisor, continuously modulating the action of a fuzzy logic controller and a robust sliding mode controller, is developed to add excitation control to a power system with the objective of rapidly eliminating low frequency oscillations. Thus a robust approach, here fuzzy technique, in conjunction with a robust sliding mode procedure, is used to perform as an intelligent power system stabilizer. Combining advantages of both techniques the fuzzy supervisor controls the action of the two controllers which rely on a linear state observer to allow for poles placement in the sliding mode through state feedback. Robust sliding mode control is fully used whenever the system state trajectory is faraway from the sliding surface and continually modulated with fuzzy control taking gradually over when near the desired manifold thus greatly reducing chattering inherently proper to discontinuous control action. A fourth order model of a power system representing a single synchronous generator connected to an infinite bus through a double transmission line is presented in order to assess performance enhancements compared to those brought by either approach alone. Simulation studies of the proposed controller showed that the controller was effective in damping electromechanical oscillations.
N. Mohamed Harmas , Merzouki Abdelaziz and A. Hamdi-Cherif , 2007. Observer Based Intelligent Power System Stabilizer . Asian Journal of Information Technology, 6: 1057-1063.