Modeling and Optimization of Pure Electric Vehicle Path Planning-Siting Based on Enterprise Self-built Microgrid and Energy Storage System

DOI

10.2991/978-94-6463-038-1_36How to use a DOI?

Keywords

Path Planning-Site Selection; Electric Storage System; Pure Electric-Logistics Vehicle; WOA-VSN

Abstract

In order to reduce greenhouse gas emissions from road transportation and create a low-carbon and energy-saving society, it will become a trend to use electric logistics vehicles to complete urban logistics tasks in the logistics transportation industry. Compared with traditional fuel vehicles, electric logistics vehicles have many advantages such as low pollution and low energy consumption, which are highly concerned by the government, enterprises and consumers. The model of this paper is established based on the Location-Routing Problem and the time window constraint and the electric logistics vehicle power supply problem are considered in this integer planning model. To solve the above problems, an improved WOA is proposed in this paper, which variable neighborhood search operators are added in the original WOA to avoid falling into local optimum. WOA-VNS makes the search more efficient and gets more accurate solutions in reasonable time. By comparing the initial and final solutions of the randomized case, through the algorithm, the total transportation distance is shortened by about 33.9%, the construction cost of the charging pile is reduced by 61.5% and penalty costs can be avoided. It shows the effectiveness of the model establishment and the efficiency of the solution method.

Copyright

© 2023 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.

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TY  - CONF
AU  - Xingyou Wang
PY  - 2022
DA  - 2022/12/15
TI  - Modeling and Optimization of Pure Electric Vehicle Path Planning-Siting Based on Enterprise Self-built Microgrid and Energy Storage System
BT  - Proceedings of the 2022 3rd International Conference on Management Science and Engineering Management (ICMSEM 2022)
PB  - Atlantis Press
SP  - 393
EP  - 405
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-038-1_36
DO  - 10.2991/978-94-6463-038-1_36
ID  - Wang2022
ER  -