Investigation of Electric and Magnetic Field in the Application of Dynamic Line Rating

  • Levente RáczEmail author
  • Dávid Szabó
  • Gábor Göcsei
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 598)


Dynamic Line Rating (hereinafter referred to as DLR) is an effective grid management method for transmission system operators (TSOs). It provides solution for the demand of the increasing transmission capacity and for cost-effective network development at the same time. By the application of special temperature sensors, weather stations and proper DLR models the ampacity of the overhead lines (OHLs) could be increased significantly in the 95% of the time. In the existing DLR models several aspects of the implementation are taken into account and in addition to technological realization there are also references which discuss the economic side of this method. Another important question is that in case of DLR application what extent of a direct impact of the increased current load has on the emerging magnetic field, and how affects the electric field in the vicinity of the OHLs indirectly. Although this consequence of DLR can be a risk to human life, it has not been investigated, yet. According to this, researches on this issue can make the application of DLR safer, or occasionally impose restrictions on the application of this method.


Dynamic Line Rating DLR Overhead lines Electric field Magnetic field Risk analysis 



This work has been developed in the High Voltage Laboratory of Budapest University of Technology and Economics within the boundaries of FLEXITRANSTORE project, which is an international project. FLEXITRANSTORE (An Integrated Platform for Increased FLEXIbility in smart TRANSmission grids with STORage Entities and large penetration of Renewable Energy Sources) aims to contribute to the evolution towards a pan-European transmission network with high flexibility and high interconnection levels.


  1. 1.
    McCall, J.C., Servatius, B.: Enhanced economic and operational advantages of next generation dynamic line rating systems, Paris (2016)Google Scholar
  2. 2.
    Electric Power Research Institute: Evaluation of Instrumentation and Dynamic Thermal Ratings for Overhead Lines (2013)Google Scholar
  3. 3.
    Rácz, L., Szabó, D., Németh, B., Göcsei, G.: Grid management technology for the integration of renewable energy sources into the transmission system. In: 7th International Conference on Renewable Energy Research and Applications, ICRERA 2018, Paris, France (2018)Google Scholar
  4. 4.
    International Commission on Non-Ionizing Radiation Protection: ICNIRP guidelines for limiting exposure to time-varying electric and magnetic fields (1 Hz–100 kHz). Health Phys. 99(6), 818–836 (2010)Google Scholar
  5. 5.
    WHO IARC: IARC monographs on the evaluation of carcinogenic risks to humans. Non-Ionizing Radiation, Part 1: Static and Extremely Low-Frequency (ELF) Electric and Magnetic Fields, vol. 80. IARCPress, Lyon, France (2002)Google Scholar
  6. 6.
    Reilly, J.: Applied Bioelectricity: From Electrical Stimulation to Electropathology. Springer, New York (1998)CrossRefGoogle Scholar
  7. 7.
    World Health Organization: Environmental Health Criteria 238 Extremely low frequency (ELF) fields. WHO, Geneva, Switzerland (2007)Google Scholar
  8. 8.
    Xi, W., Stuchly, M.: High spatial resolution analysis of electric currents induced in men by ELF magnetic fields. Appl. Comput. Electromagnet. Soc. 9, 127–134 (1994)Google Scholar
  9. 9.
    Rácz, L., Szabó, D., Göcsei, G., Németh, B.: Application of Monte Carlo methods in probability based dynamic line rating models. In: 10th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2019, Caparica, Portugal, pp. 11–124. Springer (2019)Google Scholar
  10. 10.
    Szabó, D., Rácz, L., Göcsei, G., Németh, B.: A novel approach of critical span analysis. In: International Symposium on High Voltage Engineering, ISH 2019, Budapest, Hungary (2019)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Budapest University of Technology and EconomicsBudapestHungary

Personalised recommendations