A Novel Approach to Dynamic Line Rating Calculation

Author:

Szabó Dávid1ORCID,Németh Bálint12

Affiliation:

1. Department of Electric Power Engineering, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, 18 Egry J. Street, H-1111 Budapest, Hungary

2. Mobility Energy Innovations Ltd., Veress E. Street 1, H-7633 Pécs, Hungary

Abstract

In order to adjust the electric power network to today’s trends—such as the charging of electric vehicles, design of the Internal Electricity Market (IEM), headway of renewable energy sources, etc.—the demand for flexible network solutions is increasingly significant. Dynamic line rating (DLR) technology offers a flexible solution for the uprating of overhead lines. Moreover, the DLR methodology can be used in a wider system approach in order to establish a line management system, including functions such as ice prevention subsystems or the real-time tracking of clearances. Therefore, the extension possibilities and operational features of DLR-based systems have been extensively researched in the last few years, which is also confirmed by the high number of pilot projects funded for research and development on the topic of DLR. The key question during the implementation of a DLR system is the obtainable operational safety of such a system. This mainly depends on the installation places of the field equipment and the accuracy of the line rating calculation models. The aim of this article is the comparison of the so far available international line rating calculation models and also to propose another way for the determination of the real-time line rating. Moreover, laboratory measurements and case studies are presented for the confirmation of the proposed model’s reliability.

Funder

European project OneNet

Ministry for Innovation and Technology

Publisher

MDPI AG

Reference41 articles.

1. Effects of Electric Vehicles on Power Networks;Procedia Manuf.,2020

2. European Commission (2022, September 13). 2030 Climate & Energy Framework. Available online: https://ec.europa.eu/clima/eu-action/climate-strategies-targets/2030-climate-energy-framework_en.

3. Impact of intermittent renewable energy generation penetration on the power system networks—A review;Mlilo;Technol. Econ. Smart Grids Sustain. Energy,2021

4. Statista (2022, September 13). Net Electricity Consumption Worldwide in Select Years from 1980 to 2019. Available online: https://www.statista.com/statistics/280704/world-power-consumption/.

5. ENTSO-E (2022, September 13). Electricity in Europe 2017—Synthetic Overview of Electric System Consumption, Generation and Exchanges in 34 European Countries. Available online: https://eepublicdownloads.entsoe.eu/clean-documents/Publications/Statistics/electricity_in_europe/entso-e_electricity_in_europe_2017_web.pdf.

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