Optimal scheduling of electric vehicle battery swapping station based on sparrow search algorithm

Cao Xi; Hai Xiaotao; Sun Jian; Liu Xiaojun

doi:10.1117/12.3024574

13 May 2024 Optimal scheduling of electric vehicle battery swapping station based on sparrow search algorithm

Cao Xi, Hai Xiaotao, Sun Jian, Liu Xiaojun

Proceedings Volume 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023); 131596S (2024) https://doi.org/10.1117/12.3024574
Event: Eighth International Conference on Energy System, Electricity and Power (ESEP 2023), 2023, Wuhan, China

Abstract

With the increasing tension in traditional energy supply and demand, and the global climate warming, electric vehicles have gradually emerged as a significant alternative to traditional vehicles due to their excellent environmental characteristics. The emergence of electric vehicle battery swapping stations has made it an important place for electric vehicle energy replenishment, as electric vehicle users do not have to wait for long charging times. However, with the increasing number of electric vehicle users, the demand for battery swapping has also sharply increased, which will lead to a significant increase in expenditure on power swapping stations and affect the normal operation of the power grid. The optimization scheduling problem of electric vehicle battery swapping stations is of great significance, and it has been found that the latest solving algorithms have not been adopted in such research. Therefore, this paper, based on meeting the users' swapping demands, aims to reduce operating costs and mitigate grid fluctuations. It establishes a charging scheduling model for electric vehicle swapping stations and employs the Sparrow Search Algorithm for solving. Finally, through case analysis, the effectiveness of the model and the efficiency and accuracy of the Sparrow Search Algorithm in solving this model are validated.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Cao Xi, Hai Xiaotao, Sun Jian, and Liu Xiaojun "Optimal scheduling of electric vehicle battery swapping station based on sparrow search algorithm", Proc. SPIE 13159, Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023), 131596S (13 May 2024); https://doi.org/10.1117/12.3024574

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available