低碳目标下电气化交通网最优定价策略

Abstract
Figure/Table
References
Related Citation (15)

Download: PDF (1800 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract As an effective way to reduce fossil fuel consumption and alleviate environmental crisis, the electric vehicles (EV) alternating gasoline vehicles (GV) has been paid more and more attention, which promotes the development and popularization of EVs. At the same time, the operation of urban transportation network (UTN) and power distribution network (PDN) are closely coupled. This paper aims to solve the problem of optimal charging pricing for electric vehicle charging stations (EVCS) from the point of view of maximizing the self-interest of charging network operators (CNO). The interaction between UTN and PDN is considered, and the privacy information among different departments is protected. Taking into account the carbon emissions of GVs and EVs comprehensively, the charging behavior of EVs is regulated by charging prices, so that the charging load can be transferred between different PDN to promote the optimal economic & low-carbon operation of electrical transportation network. Numerical examples verify the validity of the proposed model and method, and the effect of CNO optimal pricing on electrical transportation network.

Key words： electric vehicles electrical transportation system charging network operators optimal charging pricing carbon emission

Received: 15 January 2024

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	LIU Aoyang
	LIU Jianchen

Cite this article:

LIU Aoyang,LIU Jianchen. Optimal pricing strategy of electrical transportation network under low-carbon target[J]. Electrical Engineering, 2024, 25(5): 41-50.

URL:

http://dqjs.cesmedia.cn/EN/Y2024/V25/I5/41

[1] 崔岩, 胡泽春, 段小宇. 考虑充电需求空间灵活性的电动汽车运行优化研究综述[J]. 电网技术, 2022, 46(3): 981-994.
[2] 刘动, 孟晨旭, 潘正阳, 等. 居民小区经营性电动汽车充电站投资建设研究[J]. 电气技术, 2022, 23(6): 104-108.
[3] 陈嘉鹏, 汤乃云, 王雪松. 基于电动汽车入网特性的电网经济调度研究[J]. 电气技术, 2019, 20(3): 24-30, 36.
[4] 吴巨爱, 薛禹胜, 谢东亮, 等. 电动汽车参与电量市场与备用市场的联合风险调度[J]. 电工技术学报, 2023, 38(23): 6407-6418.
[5] 宋健, 李梦佳, 刘囡, 等. 基于聚类算法的电动汽车充放电分时电价优化[J]. 电气技术, 2018, 19(8): 168-173.
[6] 于仲安, 马静瑶. 含风电耦合制氢的主从博弈多区域综合能源系统协调调度策略[J]. 电气技术, 2023, 24(7): 1-10.
[7] WEI Wei, WU Danman, WU Qiuwei, et al.Inter- dependence between transportation system and power distribution system: a comprehensive review on models and applications[J]. Journal of Modern Power Systems and Clean Energy, 2019, 7(3): 433-448.
[8] 孙宇乐. 计及需求敏感性的电动私家车充电站规划[J]. 电气技术, 2022, 23(6): 99-103, 108.
[9] WEI Wei, MEI Shengwei, WU Lei, et al.Optimal traffic-power flow in urban electrified transportation networks[J]. IEEE Transactions on Smart Grid, 2017, 8(1): 84-95.
[10] WEI Wei, WU Lei, WANG Jianhui, et al.Network equilibrium of coupled transportation and power distribution systems[J]. IEEE Transactions on Smart Grid, 2018, 9(6): 6764-6779.
[11] ZHOU Zhe, ZHANG Xuan, MOURA S J, et al.A game-theoretic approach to analyzing equilibria in coupled power and transportation networks[C]//2019 IEEE Power & Energy Society General Meeting (PESGM), Atlanta, GA, USA, 2019: 1-5.
[12] CUI Yan, HU Zechun, DUAN Xiaoyu.Optimal pricing of public electric vhicle charging stations considering operations of coupled transportation and power systems[J]. IEEE Transactions on Smart Grid, 2021, 12(4): 3278-3288.
[13] LAI Shuying, QIU Jing, TAO Yuechuan, et al.Pricing strategy for energy supplement services of hybrid electric vehicles considering bounded-rationality and energy substitution effect[J]. IEEE Transactions on Smart Grid, 2023, 14(4): 2973-2985.
[14] DING Zhaohao, ZHANG Yu, TAN Wenrui, et al.Pricing based charging navigation scheme for highway transportation to enhance renewable generation integration[J]. IEEE Transactions on Industry Appli- cations, 2023, 59(1): 108-117.
[15] LYU Ruike, GU Yuxuan, CHEN Qixin.Electric vehicle charging right trading: concept, mechanism, and methodology[J]. IEEE Transactions on Smart Grid, 2022, 13(4): 3094-3105.
[16] CUI Yan, HU Zechun, DUAN Xiaoyu.A multi-period charging service pricing game for public charging network operators considering the dynamics of coupled traffic-power systems[J]. IEEE Transactions on Intelligent Transportation Systems, 2023, 24(9): 9355-9367.
[17] WEI Xiang, ZHANG Xian, SUN Yuxin, et al.Carbon emission flow oriented tri-level planning of integrated electricity-hydrogen-gas system with hydrogen vehicles[J]. IEEE Transactions on Industry Appli- cations, 2022, 58(2): 2607-2618.
[18] QIAO Wenjie, HAN Yinghua, SI Fangyuan, et al.An economic and low-carbon co-optimization method for coupled transportation and power distribution net- works[C]//2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), Shanghai, China, 2022: 1854-1860.
[19] LV Si, CHEN Sheng, WEI Zhinong, et al.Power- transportation coordination: toward a hybrid economic- emission dispatch model[J]. IEEE Transactions on Power Systems, 2022, 37(5): 3969-3981.
[20] YUAN Quan, YE Yujian, TANG Yi, et al.Low carbon electric vehicle charging coordination in coupled trans- portation and power networks[J]. IEEE Transactions on Industry Applications, 2023, 59(2): 2162-2172.
[21] SHENG Yujie, GUO Qinglai, CHEN Feng, et al.Coordinated pricing of coupled urban power-traffic networks: the value of information sharing[J]. Applied Energy, 2021, 301:117428.
[22] ZHOU Ze, LIU Zhitao, SU Hongye, et al.Integrated pricing strategy for coordinating load levels in coupled power and transportation networks[J]. Applied Energy, 2022, 307: 118100.
[23] FAN Hua, DUAN Chao, ZHANG Chuanke, et al.ADMM-based multiperiod optimal power flow con- sidering plug-in electric vehicles charging[J]. IEEE Transactions on Power Systems, 2018, 33(4): 3886-3897.
[24] WEI Wei, WANG Jianhui.Modeling and optimization of interdependent energy infrastructures[M]. Cham: Springer International Publishing, 2020.
[25] NGUYEN S, DUPUIS C.An efficient method for com- puting traffic equilibria in networks with asymmetric transportation costs[J]. Transportation Science, 1984, 18(2): 185-202.