Computation of Magnetic Field Distribution by Using an Adaptive Neuro-Fuzzy Inference System
Research Area: | Volume 1 Issue 2, March 2012 | Year: | 2012 |
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Type of Publication: | Article | Keywords: | Magnetic Field, Transmission Line, FEM, ANFIS, Short-Circuit Faults, Computer Simulation |
Authors: |
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Journal: | IJEIR | Volume: | 1 |
Number: | 2 | Pages: | 175-181 |
Month: | March | ||
ISSN: | 2277-5668 | ||
Abstract: | This paper proposes a set of mathematical models
presenting magnetic fields caused by operations of an extra
high voltage (EHV) transmission line under normal loading
and short-circuit condi t ions . The mathematical model s
are expressed in second-order partial differential equations
derived by analyzing magnetic field distribution around a 500-
kV power transmission line. The problem of study is
intentionally two-dimensional due to the property of long line
field distribution. To verify its use, i) single-circuit and ii)
double-circuit, 500-kV power transmission lines have been
employed for test. Finite element methods (FEM) for solving
wave equations have been exploited. The computer simulation
based on the use of the FEM has been developed in MATLAB
programming environment. This paper presents novel approach
based on the use of adaptive network-based fuzzy inference
system (ANFIS) to estimate magnetic fields around an overhead
power transmission lines. The ANFIS approach learns the rules
and membership functions from training data. The hybrid
system is tested by the use of the validation data. From all
test cases, the calculation line of 1.0m above the ground level
is set to investigate the magnetic fields acting on a human in
c o m p a r a t i v e with ICNIRP standard. |
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