Computation of Magnetic Field Distribution by Using an Adaptive Neuro-Fuzzy Inference System

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.