@article { author = {}, title = {A SELF-TUNED FUZZY-SET BASED POWER SYSTEM STABILIZER WITH THE AID OF GENETIC ALGORITHMS AND ARTIFICIAL NEURAL NETWORKS}, journal = {Iranian Journal of Science and Technology Transactions of Electrical Engineering}, volume = {23}, number = {1}, pages = {1-10}, year = {2013}, publisher = {Shiraz University}, issn = {2228-6179}, eissn = {}, doi = {10.22099/ijste.2013.1099}, abstract = {A fuzzy-set based power system stabilizer is proposed to enhance the stability of a power system. The controller parameters are optimized using Genetic Algorithm (GA). An Artificial Neural Network (ANN) is then trained so that the controller parameters are self-tuned based on operating conditions. The performance of the proposed approach has been assessed by simulating it on a single machine infinite busbar system.           }, keywords = {Power system stabilizer,Fuzzy Set,Genetic Algorithm,Artificial Neural Network}, url = {https://ijste.shirazu.ac.ir/article_1099.html}, eprint = {https://ijste.shirazu.ac.ir/article_1099_efcf84324706b0414440ff4a589872af.pdf} }