Enhancement of transient stability of multi-machine power systems by usingfuzzy-genetic controller

This article presents the procedure to design a cooperative fuzzy controlle r applying a genetic algorithm (GA) to improve power system transient stabi lity. A remarkable feature of the method lies in the fact that it can quick ly provide a global approximately optimal solution for gains and parameters for the fuzzy controller. In real application problems, trial and error me thod is extensively used to decide the gains and parameters. However, when the system condition or fault location changes, it is necessary to iterate again to obtain an approximately optimal controller. Moreover, if parameter s are changed, it is difficult to achieve good dynamic response. Hence, a c ooperative controller using a fuzzy-genetic system seems a quite efficient means for controlling electric generators.