Coordinated routing optimization and charging scheduling in a multiple-charging station system: A strategic bilevel multi-objective programming
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F25%3A00381219" target="_blank" >RIV/68407700:21230/25:00381219 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.segan.2025.101659" target="_blank" >https://doi.org/10.1016/j.segan.2025.101659</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.segan.2025.101659" target="_blank" >10.1016/j.segan.2025.101659</a>
Alternative languages
Result language
angličtina
Original language name
Coordinated routing optimization and charging scheduling in a multiple-charging station system: A strategic bilevel multi-objective programming
Original language description
Effectively managing EV charging queues not only alleviates traffic congestion in high-demand areas but also improves user satisfaction by minimizing waiting times. This framework enhances overall system efficiency by better distributing the concentration of EVs during peak periods. This research investigates collaborative mechanisms from the perspectives of various stakeholders, including charging stations (CSs) and EVs, to optimize the charging process. A route optimization model is employed to direct EVs toward the most suitable CSs, followed by the introduction of two scheduling models: (1) a social welfare maximization model and (2) a game-theoretic iterative framework. These models aim to optimize EV charging locations while increasing CS profitability. EVs scheduling is performed using a mixed-integer non-linear programming (MINLP) approach, offering critical insights into its applicability across different scenarios. The numerical results demonstrate that coordinated EV scheduling substantially enhanc
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Sustainable Energy, Grids and Networks
ISSN
2352-4677
e-ISSN
2352-4677
Volume of the periodical
42
Issue of the periodical within the volume
101659
Country of publishing house
GB - UNITED KINGDOM
Number of pages
17
Pages from-to
1-17
UT code for WoS article
001431513500001
EID of the result in the Scopus database
2-s2.0-85218266527