The paper presents optimization of power line geometrical parameters aimed to reduce the intensity of the electric field and magnetic field intensity under an overhead power line with the use of a genetic algorithm (AG) and particle swarm optimization (PSO). The variation of charge distribution along the conductors as well as the sag of the overhead line and induced currents in earth wires were taken into account. The conductor sag was approximated by a chain curve. The charge simulation method (CSM) and the method of images were used in the simulations of an electric field, while a magnetic field were calculated using the Biot–Savart law. Sample calculations in a three-dimensional system were made for a 220 kV single – circuit power line. A comparison of the used optimization algorithms was made.

JO - Archives of Electrical Engineering L1 - http://www.journals.pan.pl/Content/108843/PDF/art09.pdf L2 - http://www.journals.pan.pl/Content/108843 PY - 2018 IS - No 4 EP - 829–843 KW - power line KW - electric field KW - magnetic field KW - optimization KW - genetic algorithm KW - particle swarm algorithm A1 - Król, Krzysztof A1 - Machczyński, Wojciech PB - Polish Academy of Sciences VL - vol. 67 JF - Archives of Electrical Engineering DA - 2018.11.19 T1 - Optimization of electric and magnetic field intensities in proximity of power lines using genetic and particle swarm algorithms SP - 829–843 UR - http://www.journals.pan.pl/dlibra/docmetadata?id=108843 DOI - 10.24425/aee.2018.124743 ER -