Adaptive and intelligent control applications to power system stabiliser

Abstract

Adaptive control can be described as the changing of controller parameters online based on the changes in system operating conditions. Adaptive controllers based on analytical techniques can provide excellent performance and improve the dynamic performance of the plant by allowing the parameters of the controller to adjust as the operating conditions change. Proper care needs to be taken to make them robust, especially under large disturbances. Controller robustness can be improved by employing artificial intelligence (AI) techniques. It is possible to implement either the entire algorithm using AI techniques or by integrating analytical and AI techniques such that some functions are performed using analytical approach and the rest using AI techniques. Successful implementation of purely analytical, purely AI and integrated approaches is illustrated by application to a power system stabiliser to improve damping and stability of an electric generating unit.