Novel Method for Magnetic Flux Density Estimation in the Vicinity of Multi-Circuit Overhead Transmission Lines

Abstract

In this paper, a novel method for the magnetic flux density estimation in the vicinity of multi-circuit overhead transmission lines is proposed. The proposed method is based on a fully connected feed-forward artificial neural network model that is trained to estimate the magnetic flux density vector components for a range of single-circuit overhead transmission lines. The proposed algorithm is able to simplify estimation process in instances when there are two or more geometrically identical circuits present in the multi-circuit overhead transmission line. In such instances, artificial neural network model is employed to estimate the magnetic flux density distribution over a considered lateral profile for only one of such circuits. The magnetic flux density estimates of the other geometrically identical circuits are derived from these results. The proposed methodology defines the resultant magnetic flux density for the multi-circuit overhead transmission line in terms of the contributions made by individual circuits. The application of the proposed magnetic flux density estimation method is demonstrated on several multicircuit configurations of overhead transmission lines. The performance of the proposed method is compared with the Biot-Savart law based method calculation results as well as with field measurement results. INDEX TERMSArtificial Neural Network (ANN), Biot-Savart (BS) law based method, Current intensity, Magnetic flux density, Multi-Circuit Overhead Transmission Lines.

Estimation of the Spatial and Temporal Distribution of Magnetic Fields around Overhead Power Lines—A Case Study

“…calculated with relations ( 8)- (10), is presented in Figure 14 A numerical simulation of the line was also performed using COMSOL Multiphysics 6.1. In this case, the electrical constants for the soil, εr and σ can be also taken into account, but these constants depend on the content of water in the soil [17].…”

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“…Results of Analytical and Numerical SimulationsThe transversal profile for the norm of the magnetic flux density − B = |B x | 2 + B y calculated with relations (8)-(10), is presented in Figure14for the cases in which the experimental data obtained with MI LTS were available and the values of the rms line currents are known. Conductors (1)-(3) (Figure1a) carry a symmetric three-phase current, with values specified in Figure14(three cases), while the current in the conductors (1), (2) and (3 ) are zero (line not in service).…”

Evaluation of the Long-Term Exposure to the Magnetic Fields Generated by Overhead Transmission Lines Using Artificial Neural Networks – A Case Study

“…When the data on the phase current intensities during the considered period are known, the calculation of the magnetic flux density can be done. The method proposed in [33] was used to determine the magnetic flux density distribution. The applied method uses artificial neural networks to estimate the magnetic flux density in the vicinity of multi-circuit overhead lines.…”

Study of Low Frequency Magnetic Field of Indoor Distribution Substations

“…That is why special equipment's (David et al, 2019) are needed that allows both spot measurements (Mariscotti, 2009) and automatic long-term survey. For a good interpretation of the results, it is recommended to represent the spatial and temporal variability of the field in the maps and graphical forms, (Mujezinovic et al, 2022) respectively statistical processing.…”