LAPSE:2023.32975
Published Article
LAPSE:2023.32975
Power Quality Improvement in Distribution Grids via Real-Time Smart Exploitation of Electric Vehicles
Behzad Zargar, Ting Wang, Manuel Pitz, Rainer Bachmann, Moritz Maschmann, Angelina Bintoudi, Lampros Zyglakis, Ferdinanda Ponci, Antonello Monti, Dimosthenis Ioannidis
April 20, 2023
Integration of electric vehicles into electric power system brings both challenges and solutions in the operation of power grids. On the one hand, simultaneously charging a large number of electric vehicles causes branch congestion or large voltage drop. Operating the electric vehicles in the discharging mode, on the other hand, introduces the provision of several ancillary services like peak power shaving and spinning reserves. From the electric vehicles operation point of view, thus, the distribution system operators require a real-time monitoring infrastructure to capture the states of electric vehicle chargers and accordingly operate their grids in the safe mode with respect to the power quality standards (e.g., EN 50160). In this context, the real-time smart charging and storage platform of the EU Horizon 2020 “MEISTER” project, based on the information and communication technology, manages the availability of electric vehicles as a potential source of energy in the need of one or more flexibility services demanded by low voltage distribution system operators. In addition to the implemented information and communication technology platform, this paper presents how the smart use of the electric vehicle resources supports the power quality of the distribution system in terms of system voltage support, bidirectional power flow management, harmonic alleviation and power factor control.
Keywords
distribution networks, electric vehicles, power quality and ICT technology
Suggested Citation
Zargar B, Wang T, Pitz M, Bachmann R, Maschmann M, Bintoudi A, Zyglakis L, Ponci F, Monti A, Ioannidis D. Power Quality Improvement in Distribution Grids via Real-Time Smart Exploitation of Electric Vehicles. (2023). LAPSE:2023.32975
Author Affiliations
Zargar B: Institute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen University, 52074 Aachen, Germany
Wang T: Institute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen University, 52074 Aachen, Germany [ORCID]
Pitz M: Institute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen University, 52074 Aachen, Germany
Bachmann R: E:E Consulting GmbH, Eichenweg 2 b, D-21521 Aumühle, Germany
Maschmann M: Schleswig-Holstein Netz AG, Kieler Straße 47, 24768 Rendsburg, Germany
Bintoudi A: Centre for Research and Technology—Hellas, Information Technologies Institute, P.O. Box 60361, 5700 Thessaloniki, Greece [ORCID]
Zyglakis L: Centre for Research and Technology—Hellas, Information Technologies Institute, P.O. Box 60361, 5700 Thessaloniki, Greece [ORCID]
Ponci F: Institute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen University, 52074 Aachen, Germany [ORCID]
Monti A: Institute for Automation of Complex Power Systems, E.ON Energy Research Center, RWTH Aachen University, 52074 Aachen, Germany
Ioannidis D: Centre for Research and Technology—Hellas, Information Technologies Institute, P.O. Box 60361, 5700 Thessaloniki, Greece [ORCID]
Journal Name
Energies
Volume
14
Issue
12
First Page
3533
Year
2021
Publication Date
2021-06-14
Published Version
ISSN
1996-1073
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Original Submission
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PII: en14123533, Publication Type: Journal Article
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LAPSE:2023.32975
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doi:10.3390/en14123533
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