Turbine Dynamics Study Control Using Adaptive Neuro-fuzzy Inference System (anfis)
نویسندگان
چکیده
This paper presents an application of Adaptive Neuro-Fuzzy Inference System (ANFIS). The control structure of the purposed consists fuzzy logic to damp the low frequency oscillations of power system and neuro identifier to track the dynamic behavior of the plant. In practical for damping of disturbance in the power system, Automatic Voltage Controller (AVR) is used. To develop this controller adding a supplementary signal called Power System Stabilizer (PSS) is recommend. However, there are some problems like complexity limitations like as borderlines, high number of parameters. Because of the mentioned limitations the performance of the controllers reduces. The neuro-fuzzy is a nonlinearity method for analyze without any complexity. In this paper, we will demonstrate neuro-fuzzy method application considering the results of the classic PSS, in high accuracy and low complexity.
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