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Abstract

The assessment of the risks from an exposure to electromagnetic fields with frequency 50 Hz at places under transmission power lines includes the determination of the magnetic flux density. It may be ensured by measurements or calculations.

The paper presents a computing approach for determination of the magnetic flux density under overhead electrical power lines. By the help of a specialized computer program created by the authors, the data for the magnetic flux density at points at an arbitrary height from the ground, transversely from the center of the tower of the transmission lines of 220 kV and 400 kV, are presented.

The calculation approach is based on the condition that the phase conductors are infinitely long and rectilinear, located close to a flat surface of a conductive medium (the ground). Then the total magnetic field can be considered as a superposition of the magnetic fields of the line conductors and their mirror images. So, the vector of the total magnetic flux density can be determined by a vector sum of the vectors of the magnetic flux densities of all the conductors.

The presented results are extracted for different constructions of electrical power line towers and horizontal arrangements of the phase conductors. The results describe the field characteristics around some typical constructions of transmission power lines of 220 kV and 400 kV.

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Correspondence to Emil Panov .

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Panov, E., Mehmed-Hamza, M., Yordanova, M. (2018). A Computing Approach for Determination of the Magnetic Flux Density Under Transmission Power Lines. In: Abraham, A., Kovalev, S., Tarassov, V., Snasel, V., Vasileva, M., Sukhanov, A. (eds) Proceedings of the Second International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’17). IITI 2017. Advances in Intelligent Systems and Computing, vol 680. Springer, Cham. https://doi.org/10.1007/978-3-319-68324-9_29

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  • DOI: https://doi.org/10.1007/978-3-319-68324-9_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68323-2

  • Online ISBN: 978-3-319-68324-9

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