A Knowledge-Base Power System Stabilizer

Abstract

Abstract Power system stabilizers have been used successfully to improve power system stability. The major problem facing the design of a suitable controller for power systems is that they are nonlinear in nature and can operate over a wide range of parameter variations. Adaptive controllers were used to solve such a problem but they are usually computationally intensive and may not compensate large variations in system parameters. Motivated by the substantial growth of Artificial Intelligence (AI) techniques and their application in control systems, knowledge based controllers began to take place as a wide range stabilizers. This paper introduces a newly developed power system stabilizer using a knowledge base controller. The proposed knowledge base controller is acting on the system while keeping the conventional stabilizer. Rules and facts that represent the core of the controller are deduced using fuzzy logic. A single synchronous machine with its speed governor and voltage regulator connected to an infinite bus is used as an example to illustrate the features of the proposed expert controller. Simulation results showed great improvement in system performance when the auxiliary knowledge base controller is used together with the speed governor and the voltage regulator.