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. (1391). A SELF-TUNED FUZZY-SET BASED POWER SYSTEM STABILIZER WITH THE AID OF GENETIC ALGORITHMS AND ARTIFICIAL NEURAL NETWORKS. , 23(1), 1-10. doi: 10.22099/ijste.2013.1099
. "A SELF-TUNED FUZZY-SET BASED POWER SYSTEM STABILIZER WITH THE AID OF GENETIC ALGORITHMS AND ARTIFICIAL NEURAL NETWORKS". , 23, 1, 1391, 1-10. doi: 10.22099/ijste.2013.1099
. (1391). 'A SELF-TUNED FUZZY-SET BASED POWER SYSTEM STABILIZER WITH THE AID OF GENETIC ALGORITHMS AND ARTIFICIAL NEURAL NETWORKS', , 23(1), pp. 1-10. doi: 10.22099/ijste.2013.1099
. A SELF-TUNED FUZZY-SET BASED POWER SYSTEM STABILIZER WITH THE AID OF GENETIC ALGORITHMS AND ARTIFICIAL NEURAL NETWORKS. , 1391; 23(1): 1-10. doi: 10.22099/ijste.2013.1099

A SELF-TUNED FUZZY-SET BASED POWER SYSTEM STABILIZER WITH THE AID OF GENETIC ALGORITHMS AND ARTIFICIAL NEURAL NETWORKS

Iranian Journal of Science and Technology Transactions of Electrical Engineering
شناسنامه علمی شماره، دوره 23، شماره 1، اردیبهشت 1999، صفحه 1-10    اصل مقاله (572.18 K)
شناسه دیجیتال (DOI): 10.22099/ijste.2013.1099
چکیده
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.          
 
کلیدواژه‌ها
Power system stabilizer؛ Fuzzy Set؛ Genetic Algorithm؛ Artificial Neural Network
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