Flexibility Mining and Optimal Scheduling for Electric Vehicle Clusters Considering Dynamic Coordination of Power-Transportation Coupled Network

被引：0
|
作者：
Liu Z. [1 ]
Dai J. [1 ]
Yang L. [1 ]
机构：
[1] School of Electric Power Engineering, Kunming University of Science and Technology, Kunming
来源：
Dianli Xitong Zidonghua/Automation of Electric Power Systems | 2024年 / 48卷 / 07期
关键词：
dynamic traffic assignment; electric vehicle; flexible operation domain; optimization theory; power-transportation coupled network;
D O I：
10.7500/AEPS20230728004
中图分类号：
学科分类号：
摘要：
As a cross-domain subject with both transportation and energy attributes, electric vehicles (EVs) can exert their spatio-temporal flexibility to help the coordinated operation of the power-transportation coupled network. Therefore, a scheduling strategy for EV clusters considering the comprehensive benefits of power-transportation coupled network is proposed. First, a dynamic transportation network loading model is constructed based on arc impedance function. Then, considering the difference and coupling of the characteristic parameters of EV users, the flexible operation domain model of individual EV is constructed. Based on the Minkowski sum algorithm under the linear approximation of zonotope, the time-varying flexible operation domain of EV clusters is obtained. On this basis, a two-layer model for flexibility scheduling of EV clusters under optimal assignment of dynamic traffic flow is proposed, and the instantaneous travel cost of unit flow composed of the coupling variables of the upper and lower layers is obtained through iterative solution, which can guide the travel and charging/discharging behaviors of EVs. Finally, the validity of the proposed scheduling strategy for EV clusters is verified by comparing it with the shortest path guidance strategy. © 2024 Automation of Electric Power Systems Press. All rights reserved.
引用
收藏
页码：127 / 137
页数：10
相关论文
共 31 条
  • [1] ZANG Haixiang, SHU Yuxin, FU Yuting, Et al., Multi-objective planning of an urban electric vehicle charging station considering multi demand scenarios［J］, Power System Protection and Control, 49, 5, pp. 67-80, (2021)
  • [2] WEISS M，, DEKKER P，, MORO A，, Et al., On the electrification of road transportation—a review of the environmental，economic，and social performance of electric two-wheelers［J］, Transportation Research Part D：Transport and Environment, 41, pp. 348-366, (2015)
  • [3] XING Qiang, CHEN Zhong, LENG Zhaoying, Et al., Route planning and charging navigation strategy for electric vehicles based on real-time traffic information［J］, Proceedings of the CSEE, 40, 2, pp. 534-549, (2020)
  • [4] WANG Haixin, YUAN Jiahui, CHEN Zhe, Et al., Review and prospect of key techniques for vehicle-station-network integrated operation in smart city［J］, Transactions of China Electrotechnical Society, 37, 1, pp. 112-132, (2022)
  • [5] YU X H., Optimal modeling of intelligent guidance charging for urban areas electric vehicles, 2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems （CCIS）, pp. 1038-1042, (2018)
  • [6] LI Dongdong, DUAN Weiyi, LIN Shunfu, Et al., User guidance based matching strategy for electric vehicle-charging pile in condition of real-time electricity price［J］, Automation of Electric Power Systems, 44, 8, pp. 74-82, (2020)
  • [7] WANG Yanqing, WANG Xiao, CONG Ruochen, Et al., Charging guidance strategy of traveling electric vehicle considering the operation safety of distribution network［J］, High Voltage Engineering, 49, 5, pp. 2131-2139, (2023)
  • [8] PAN Zhenning, YU Tao, WANG Keying, Decentralized coordinated dispatch for real-time optimization of massive electric vehicles considering various interests［J］, Proceedings of the CSEE, 39, 12, pp. 3528-3540, (2019)
  • [9] SONG Xiaotong, LU Qiannan, SUN Yi, Et al., Interactive strategy of electric vehicles and integrated energy system based on electricity price guidance［J］, High Voltage Engineering, 47, 10, pp. 3744-3754, (2021)
  • [10] YAN Q，, ZHANG B，, KEZUNOVIC M., Optimized operational cost reduction for an EV charging station integrated with battery energy storage and PV generation［J］, IEEE Transactions on Smart Grid, 10, 2, pp. 2096-2106, (2019)
1234