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Influence of Lightning Current Model on Simulations of Overvoltages in High Voltage Overhead Transmission Systems

Author

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  • Jakub Furgał

    (Power Electrical Engineering Division, AGH University of Science and Technology, 30-059 Kraków, al. Mickiewicza 30, Poland)

Abstract

The analysis of lightning overvoltages generated in electrical power systems has a great meaning for the designers and exploitation engineers because it creates bases for the optimization of construction overhead transmission lines and high voltage substations, reducing costs and increasing reliability of the transmission and distribution of electrical energy. Lightning overvoltages generated in electrical power systems with overhead transmission lines are a result of complex, nonlinear, and surge phenomena occurring in the structure of line towers and electrical substation when the lightning current is flowing through them. Methods of overvoltage stress analysis are intensely developed, and one of the directions is working out models of high voltage electrical devices and phenomena in electrical networks, which influence the shape and values of overvoltage risks. The model of lightning current has a significant influence on the courses of overvoltages in high voltage transmission systems. The paper is focused on the analysis of the influence of the model of lightning current making use of simulations of the shape, and maximal values of overvoltages generated in high voltage transmission systems during a direct lightning strike to the overhead lines. Two models of lightning current used in simulations with the Electromagnetic Transients Program/Alternative Transient Program (EMTP/ATP) were analyzed, i.e., the Heidler model and CIGRE (Conseil International des Grands Réseaux Électriques) model. The EMTP/ATP computer program is very often used in simulations of overvoltages in electrical networks. Unfortunately, the users get no information on the criterion to be used when selecting the model of lightning current used in the simulations. The analysis presented in the paper gives practical knowledge about the effect of the use of a particular kind of lightning current model on the results of simulations of lightning overvoltage propagation in electrical networks, overvoltage protection, as well as on theoretical and practical aspects of the insulation coordination in high voltage transmission systems.

Suggested Citation

  • Jakub Furgał, 2020. "Influence of Lightning Current Model on Simulations of Overvoltages in High Voltage Overhead Transmission Systems," Energies, MDPI, vol. 13(2), pages 1-10, January.
  • Handle: RePEc:gam:jeners:v:13:y:2020:i:2:p:296-:d:306143
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    Citations

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    Cited by:

    1. Petar Sarajcev & Dino Lovric & Tonko Garma, 2022. "Statistical Safety Factor in Lightning Performance Analysis of Overhead Distribution Lines," Energies, MDPI, vol. 15(21), pages 1-19, November.
    2. Mahdi Pourakbari-Kasmaei & Matti Lehtonen, 2020. "Enhancing the Protective Performance of Surge Arresters against Indirect Lightning Strikes via an Inductor-Based Filter," Energies, MDPI, vol. 13(18), pages 1-32, September.
    3. Marek Florkowski & Jakub Furgał & Maciej Kuniewski, 2021. "Lightning Impulse Overvoltage Propagation in HVDC Meshed Grid," Energies, MDPI, vol. 14(11), pages 1-21, May.
    4. Mahdi Pourakbari-Kasmaei & Farhan Mahmood & Michal Krbal & Ludek Pelikan & Jaroslava Orságová & Petr Toman & Matti Lehtonen, 2020. "Evaluation of Filtered Spark Gap on the Lightning Protection of Distribution Transformers: Experimental and Simulation Study," Energies, MDPI, vol. 13(15), pages 1-23, July.
    5. Ayesha Shakeel & Kyu-Hoon Park & Koo-Yong Shin & Bang-wook Lee, 2021. "A Study of Fast Front Transients of an HVDC Mixed Transmission Line Exposed to Bipolar Lightning Strokes," Energies, MDPI, vol. 14(10), pages 1-16, May.
    6. Guanchen Liu & Peng Zhao & Yang Qin & Mingmin Zhao & Zhichao Yang & Henglin Chen, 2020. "Electromagnetic Immunity Performance of Intelligent Electronic Equipment in Smart Substation’s Electromagnetic Environment," Energies, MDPI, vol. 13(5), pages 1-19, March.

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