Research on Electric Vehicle Charging Station Location Based on Multiple Objective Snake Optimizer
- DOI
- 10.2991/978-94-6463-256-9_143How to use a DOI?
- Keywords
- charging facility; bi-objective site selection; Multiple Objective Snake Optimizer
- Abstract
In view of the characteristics that the performance of electric vehicle power battery is easily affected by low temperature environment, by taking the influence of low temperature environment on the energy consumption of electric vehicle into account, a bi-objective location model was constructed to minimize the user's generalized travel cost and the total construction cost, and Multiple Objective Snake Optimizer (MOSO) was designed to solve the model. The feasibility of the model and the effectiveness of the algorithm are verified by taking the Central China and the Northeast China as examples, and the influence of the difference of siting strategy and the change of charging demand on siting strategy is explored.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Liying Li AU - Haipan Song PY - 2023 DA - 2023/10/09 TI - Research on Electric Vehicle Charging Station Location Based on Multiple Objective Snake Optimizer BT - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023) PB - Atlantis Press SP - 1419 EP - 1427 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-256-9_143 DO - 10.2991/978-94-6463-256-9_143 ID - Li2023 ER -