Abstract
This article presents the procedure to design a cooperative fuzzy controller applying a genetic algorithm (GA) to improve power system transient stability. A remarkable feature of the method lies in the fact that it can quickly provide a global approximately optimal solution for gains and parameters for the fuzzy controller. In real application problems, trial and error method 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 parameters are changed, it is difficult to achieve good dynamic response. Hence, a cooperative controller using a fuzzy-genetic system seems a quite efficient means for controlling electric generators.