Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/21990
Title: Assessment of Electric and Magnetic Field Exposure Near Overhead Transmission Lines Using 2D Finite Elements Method
Authors: Glushica, Bojan
Markovski, Blagoja 
Kuhar, Andrijana 
Arnautovski-Toseva, Vesna
Keywords: Electric field
Magnetic field
ICNIRP
FEMM
Transmission line
Issue Date: 26-Jun-2022
Publisher: Symposium on Applied Electromagnetics
Project: NIP.UKIM.20-21.10
Series/Report no.: SAEM;8
Conference: Symposium on Applied Electromagnetics - SAEM'22
Abstract: Electric and magnetic fields near power lines are of particular interest in safety analysis related to effects on the environment, human exposure and electromagnetic disturbances on adjacent systems. Electromagnetic modeling is an efficient procedure to assess their effects in different scenarios. In this paper we perform numerical analysis of the distribution of electric and magnetic fields in the vicinity of 110 and 400 kV overhead transmission lines using the open source software FEMM 4.2. The modelling procedure is briefly described and the results are verified using full-wave electromagnetic model based on the method of moments. Different configurations of transmission lines and the effects of phase sequence transposition are considered. Calculated electric and magnetic field levels are then compared to exposure limits established by ICNIRP. Using the magnetic field, the induced currents within fictional human tissue are also estimated.
URI: http://hdl.handle.net/20.500.12188/21990
Appears in Collections:Faculty of Electrical Engineering and Information Technologies: Conference Papers

Files in This Item:
File Description SizeFormat 
SAEM 2022 - Assessment of Electric and Magnetic Field Exposure Near Overhead TL.pdf805.94 kBAdobe PDFView/Open
Show full item record

Page view(s)

80
checked on Apr 28, 2024

Download(s)

58
checked on Apr 28, 2024

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.