Pointer Image Theory Usage for Common Mode Current Prediction at Power Lines

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Alamsyah, Muhammad S.; Vieira, Francinei; Koj, Sebastian; Garbe, Heyno: Pointer Image Theory Usage for Common Mode Current Prediction at Power Lines. In: Garbe, H. (Ed.): Proceedings EMV Kongress 2022. Aachen : Apprimus, 2022, S. 413-419

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/12601

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Sum total of downloads: 83




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This paper aims to explain the pointer image theory as a solution used to predict the commonmode (CM) current at power lines, which is strongly related to radiated electromagnetic emissions.Techniques to measure the CM current at power lines in huge installations such as wind turbines(WT) are needed and novel methods are emerging. The WT tower may become an unintentionalantenna due to the CM current flowing at its body through stray capacitances. The easiest way tomeasure the total CM current flow on a three-phase system is by measuring it using a device suchas a current clamp or a Rogowski coil. This clamp must cover the whole 3-phase-cable bundle,however, the problem is that such a huge clamp or coil does not exist on the market, besidescustomized parts. The proposed method in this paper is to implement the pointer image theory topredict the CM current from a WT power plant. Laboratory measurements and SPICE simulationsare used to show that the proposed method works well for CM current prediction.
License of this version: CC BY 3.0 DE
Document Type: BookPart
Publishing status: publishedVersion
Issue Date: 2022
Appears in Collections:EMV 2022 Köln

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pos. country downloads
total perc.
1 image of flag of Germany Germany 43 51.81%
2 image of flag of United States United States 16 19.28%
3 image of flag of China China 8 9.64%
4 image of flag of Netherlands Netherlands 4 4.82%
5 image of flag of Russian Federation Russian Federation 3 3.61%
6 image of flag of Israel Israel 2 2.41%
7 image of flag of Vietnam Vietnam 1 1.20%
8 image of flag of Czech Republic Czech Republic 1 1.20%
9 image of flag of Brazil Brazil 1 1.20%
10 image of flag of Austria Austria 1 1.20%
    other countries 3 3.61%

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