Design of Power System Stabilizer Using Genetics Algorithm Based Neural Network

Synergism of two intelligent control techniques namely Artificial Neural Network and Genetic Algorithm has been presented in this paper. The technique has been implemented to design power system stabilizer. The power system stabilizer designed with help of neural network while the network is optimized by the genetics algorithm. The power system stabilizer has been used to generate the appropriate supplementary control signal for the excitation system of synchronous generator by reduces the low frequency oscillation and improves the performance of the dynamical power system. The effectiveness of design has been tested by non linear simulation of single machine infinite bus system. The results show, the capability and effectiveness of hybrid control algorithm for power system stability improvement under the various disturbances, faults and different operating conditions.