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
Related Articles
- EP ID EP392650
- DOI 10.9790/9622-0711016168.
- Views 83
- Downloads 0
Penetration Testing An Effective And Versatile Tool For Software Security
Software is being developed and released for public utility in applications of mobile phone technologies to aircraft and spaceship explorations at a very fast pace which requires proper testing prior to their release so...
IOT Patient Health Monitoring System
Monitoring and Recording of various medical parameters of patient outside hospitals has become Widespread phenomenon. The Reason behind this project is to design a system for monitoring the patient’s body at any time usi...
Experimentation Of Denial Of Service Attack In Wireless Local Area Infrastructure Network Using Loic Tool
Denial of Service attack (DoS) is a major issue prevailing in wireless local area infrastructure network. It occurs by spoofing Medium Access Control (MAC). In past, a person who skilled in technology only can exploit at...
Study of the Induction of Secondary Growth of Alcoholic Yeast Saccharomyces Cerevisiae
The results of the study of the effect of MgSO4, CuSO4 and ultraviolet irradiation on the induction of secondary growth of the colonies of alcohol yeast Saccharomyces cerevisiae are presented. It was found that secondary...
Projection of future Temperature and Precipitation for Jhelum river basin in India using Multiple Linear Regression.
In this paper, downscaling models are developed using a Multiple Linear Regression (MLR) for obtaining projections of mean monthly temperature and precipitation for Jhelum river basin. Precipitation and temperature data...