Location planning of electric vehicle charging station with users' preferences and waiting time: multi-objective bi-level programming model and HNSGA-II algorithm

Interactive users' preferences and waiting time together have great impact on charging station network design of electric vehicles (EVs), but only waiting time was considered in previous studies. To fill this research gap, this paper addresses a location planning problem for EV charging station...

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Veröffentlicht in:International journal of production research Jg. 61; H. 5; S. 1394 - 1423
Hauptverfasser: Zhang, Bo, Zhao, Meng, Hu, Xiangpei
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London Taylor & Francis 04.03.2023
Taylor & Francis LLC
Schlagworte:
Algorithms
charging station location planning
Electric vehicle charging
Electric vehicle charging stations
Electric vehicles
Enumeration
Genetic algorithms
hybrid non-dominated sorting genetic algorithm II
Lateness
multi-objective bi-level optimisation
Multiple objective analysis
Network design
Sensitivity analysis
Sorting algorithms
Travel time
users' preferences
waiting time
ISSN:0020-7543, 1366-588X
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Zusammenfassung:Interactive users' preferences and waiting time together have great impact on charging station network design of electric vehicles (EVs), but only waiting time was considered in previous studies. To fill this research gap, this paper addresses a location planning problem for EV charging stations, which considers users' preferences and waiting time simultaneously. The problem is formulated as a multi-objective bi-level programming model, the upper level model determines locations and capacity options of charging stations with the objectives of minimising total cost and minimising total service tardiness, and the lower level model determines the allocation of users to stations with the objective of minimising total travel time. A hybrid non-dominated sorting genetic algorithm II (HNSGA-II) with embedded level determination algorithm (LDA) and a partial enumeration algorithm (PEA) are proposed, respectively, to solve the model. Furthermore, managerial analysis is implemented to verify the advantages of considering users' preferences in reducing charging service tardiness and saving cost compared with the mode of no considering users' preferences. And sensitivity analysis is also performed to provide managerial insights for EV charging station location practice. Finally, a real-world case study is conducted to verify the applicability of the proposed approach in solving practical location planning problems.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:0020-7543
1366-588X
DOI:10.1080/00207543.2021.2023832