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Review of Waveform Distortion Interactions Assessment in Railway Power Systems
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0002-3625-8578
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Energy Science.ORCID iD: 0000-0002-4004-0352
2023 (English)In: Energies, E-ISSN 1996-1073, Vol. 16, no 14, article id 5411Article, review/survey (Refereed) Published
Abstract [en]

This work aims to cover the measurement, modeling, and analysis of waveform distortions in railway power systems. It is focused on waveform distortion as a phenomenon that includes harmonic distortion, interharmonic distortion, and supraharmonics. A comprehensive view of the interactions of waveform distortions in railway systems is needed, together with a grid perspective of power quality incorporating all aspects, sources, propagation, requirements, and effects. It is understood that the communities interested or involved in the subject of railway power systems would benefit from an integrated overview of the literature on the complex problem of waveform distortion. The literature review is divided into four categories: characterization and measurements, modeling, the application of artificial intelligence, and specific issues. For each category of work, the contributions are highlighted, and a discussion on opportunities, gaps, and critical observations is provided. The work successfully builds a framework for the subject with two main characteristics; the review is informative and propositional, providing a road map of opportunities for future works. Some aspects and recommendations can be highlighted. Suggestions for future works and research practices on waveform distortion in electrical transportation are offered.

Place, publisher, year, edition, pages
MDPI, 2023. Vol. 16, no 14, article id 5411
Keywords [en]
electrified transportation, waveform distortion, power system harmonics, power quality, railway systems
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electric Power Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-99502DOI: 10.3390/en16145411ISI: 001035960200001Scopus ID: 2-s2.0-85166228678OAI: oai:DiVA.org:ltu-99502DiVA, id: diva2:1787166
Funder
Swedish Transport Administration
Note

Validerad;2023;Nivå 2;2023-08-11 (joosat);

Licens fulltext: CC BY License

Available from: 2023-08-11 Created: 2023-08-11 Last updated: 2023-09-05Bibliographically approved

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Salles, Rafael De SouzaRönnberg, Sarah K.

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