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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)

Abstract

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.

Keywords

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

Notes

Acknowledgement

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.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Budapest University of Technology and EconomicsBudapestHungary

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