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New Reactive Power Compensation Strategies for Railway Infrastructure Capacity Increasing

Title
New Reactive Power Compensation Strategies for Railway Infrastructure Capacity Increasing
Type
Article in International Scientific Journal
Year
2020
Authors
Vítor A. Morais
(Author)
FEUP
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Afonso, JL
(Author)
Other
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Carvalho, AS
(Author)
Other
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Martins, AP
(Author)
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Adriano Carvalho
(Author)
FEUP
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António Pina Martins
(Author)
FEUP
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Journal
Title: EnergiesImported from Authenticus Search for Journal Publications
Vol. 13
Final page: 4379
ISSN: 1996-1073
Publisher: MDPI
Indexing
Publicação em ISI Web of Knowledge ISI Web of Knowledge - 0 Citations
Publicação em Scopus Scopus - 0 Citations
Other information
Authenticus ID: P-00S-NYF
Abstract (EN): In AC railway electrification systems, the impact of reactive power flow in the feeding voltage magnitude is one aspect contributing to the quality of supply degradation. Specifically, this issue results in limitations in the infrastructure capacity, either in the maximum number of trains and in maximum train power. In this paper, two reactive power compensation strategies are presented and compared, in terms of the theoretical railway infrastructure capacity. The first strategy considers a static VAR compensator, located in the neutral zone and compensating the substation reactive power, achieving a maximum capacity increase up to 50% without depending on each train active power. The second strategy adapts each train reactive power, achieving also a capacity increase around 50%, only with an increase of the train apparent power below 10%. With a smart metering infrastructure, the implementation of such compensation strategy is viable, satisfying the requirements of real-time knowledge of the railway electrification system state. Specifically, the usage of droop curves to adapt in real time the compensation scheme can bring the operation closer to optimality. Thus, the quality of supply and the infrastructure capacity can be increased with a mobile reactive power compensation scheme, based on a smart metering framework.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 25
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