Controllable Meshing of Distribution Grids through a Multi-Leg Smart Charging Infrastructure (MLSCI)
Fabio Bignucolo () and
Luca Mantese
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Fabio Bignucolo: Department of Industrial Engineering, University of Padova, Via Giovanni Gradenigo 6/A, 35131 Padua, Italy
Luca Mantese: Department of Industrial Engineering, University of Padova, Via Giovanni Gradenigo 6/A, 35131 Padua, Italy
Energies, 2024, vol. 17, issue 8, 1-17
Abstract:
The paper provides a novel approach for controllably meshing traditional medium-voltage networks by means of a fast-charging parking station with multiple points of delivery connected to different radial feeders. Regulating power flows at each point of delivery while the charging service is being provided, which means actively controlling power exchanges between radial distribution feeders can significantly increase the hosting capacity of the power system. Remarkable benefits are expected when the distribution networks to which the charging infrastructure is connected differ in terms of main characteristics, e.g., rated voltage level, end-user type and operating profiles, and the number and type of renewable plants. The paper focuses on technical targets, such as loss reduction and power quality in terms of admitted voltage deviation from the rated value. The power exchanges between distribution feeders are made possible by a controlled DC link, where bi-directional DC/DC converters are connected so as to charge or discharge vehicles according to the Vehicle-To-Grid approach. A multiplexer topology in which several vehicles can be alternatively connected to the same DC/DC converter is modeled. The proposed concept can contribute to network flexibility by controllably meshing distribution feeders and, jointly, by modulating charging processes according to assigned charging constraints.
Keywords: controllable meshing; smart charging; V2G; flexibility services (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:17:y:2024:i:8:p:1960-:d:1379372
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