Modeling and Analysis of Transformer Inrush current using ANFIS
Journal Title: International Journal of engineering Research and Applications - Year 2017, Vol 7, Issue 11
Abstract
This paper presents a new technique for modeling of transformer inrush current using adaptive neuro-fuzzy inference system (ANFIS) as a type of soft computing (SC) techniques. AMATLAB/Simulink simulation of the three phase transformer is described. Inrush current at different switching instants, supply resistance and remnant flux are simulated. The proposed ANFIS network is trained off-line to identify the peak and 2nd harmonic of inrush current based on switching instants, supply resistance and remnant flux. The new approach indicates accuracy, robustness and effectiveness. Index Terms: Transformer inrush current; Soft computing techniques; Adaptive neuro-fuzzy inference system.
Authors and Affiliations
Hamid M. B. Metwally, Ali M. A. Mostafa
Keywords
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- DOI 10.9790/9622-0711016168.
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