Research methods for power system stability using Adaptive Neural Fuzzy Inference Systems
نویسندگان
چکیده
The performance of the Automatic Voltage Regulate (AVR) and the Power System Stability (PSS) methods may be degraded stability of the power system. This paper presents an Adaptive Neural Fuzzy Inference Systems (ANFIS) algorithm for stability of the power system, we use an Adaptive Network based Fuzzy Interference System architecture extended to response with multivariable systems. By using a hybrid learning method, the suggested ANFIS can setting structure diagram input output based on both human knowledge and stipulated input-output data pairs. Simulation results present the convergence of the algorithm is improved.
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