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Cited by 340

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

Power Quality Issues in Railway Electrification: A Comprehensive Perspective

Mousavi Gazafrudi, Sayed Mohammad, Tabakhpour Langerudy, Adel, Fuchs, Ewald F., Al-Haddad, Kamal·2015·IEEE Transactions on Industrial Electronics

Abstract

Since the beginning of railway electrification, power quality has been a main problem in railway networks because of their special characteristics. Many ways of power quality improvement have been investigated and applied to ac and dc traction systems through railway electrification history. This paper presents a perspective on power quality issues through railway electrification development and investigates the necessity of power quality and system requirements for appropriate power quality. Compensation strategies are classified and compared. This aims to provide a comprehensive perspective of the power quality issue in railway power/distribution networks for researchers and engineers working on railway electrification. Less than 100 research articles are referenced for researchers to obtain good background information.

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Metadata

Authors
Mousavi Gazafrudi, S. M., Tabakhpour Langerudy, A., Fuchs, E. F., & Al-Haddad, K.
Venue
IEEE Transactions on Industrial Electronics
Published
2015-05
Volume
62
Issue
5
Pages
3081-3090
ISSN
  • 0278-0046 (ISSN-L)
  • 1557-9948
OpenAlex
W2097494045
Cited by
340
References
28
FWCI
9.02
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Power Quality Issues in Railway Electrification: A Comprehensive Perspective. https://app.cochat.ai/papers/10.1109/tie.2014.2386794
The paper
Mousavi Gazafrudi, S. M., Tabakhpour Langerudy, A., Fuchs, E. F., & Al-Haddad, K. (2015). Power Quality Issues in Railway Electrification: A Comprehensive Perspective. IEEE Transactions on Industrial Electronics. https://doi.org/10.1109/tie.2014.2386794

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.