Rolling scheduling strategy of electric vehicles based on dynamic clustering and variable horizon

Sijin Song; Yutian Liu; Zukuang Tan

doi:10.1117/12.2684918

19 October 2023 Rolling scheduling strategy of electric vehicles based on dynamic clustering and variable horizon

Sijin Song, Yutian Liu, Zukuang Tan

Proceedings Volume 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023); 127095D (2023) https://doi.org/10.1117/12.2684918
Event: Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 2023, Nanjing, China

Abstract

The overall load profile tremendously changes due to the charging of abundant electric vehicles (EVs), which brings challenges to the active power balance of distribution network. To achieve smaller fluctuation of the interactive power between the distribution network and the bulk grid, a rolling scheduling strategy of EVs based on dynamic clustering and variable horizon is proposed in this paper. First, a clustering criterion for EVs is formulated to reduce the computational complexity, and the EVs are re-clustered after each scheduling. Then, the scheduling model considering the minimum variance of comprehensive load profile and the minimum charging cost is established, whose purpose is to optimize the charging and discharging plans of the EV clusters. The scheduling horizon is the variable continuous period, which is between the starting time of the current execution horizon and the departure time of each cluster. Finally, the simulation results of modified IEEE 33-bus system verify that, the optimal EV charging and discharging plan can perfectly coordinate with the photovoltaic output profile while maximizing user satisfaction, which significantly reduces the peak-valley difference of the equivalent load.

Citation Download Citation

Sijin Song, Yutian Liu, and Zukuang Tan "Rolling scheduling strategy of electric vehicles based on dynamic clustering and variable horizon", Proc. SPIE 12709, Fourth International Conference on Artificial Intelligence and Electromechanical Automation (AIEA 2023), 127095D (19 October 2023); https://doi.org/10.1117/12.2684918

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