Enhancing Resilience With Electric Vehicles Charging Redispatching and Vehicle-to-Grid in Traffic-Electric Networks

被引:27
作者
Gan, Wei [1 ]
Wen, Jianfeng [2 ,3 ]
Yan, Mingyu [4 ]
Zhou, Yue [1 ]
Yao, Wei [4 ]
机构
[1] Cardiff Univ, Sch Engn, Cardiff CF24 3AA, Wales
[2] Univ Liverpool, Dept Elect Engn & Elect, Liverpool L69 3BX, England
[3] Natl Tsing Hua Univ, Dept Elect Engn, Hsinchu 30013, Taiwan
[4] Huazhong Univ Sci & Technol, Sch Elect & Elect Engn, State Key Lab Adv Electromagnet Engn & Technol, Wuhan 430074, Peoples R China
基金
中国国家自然科学基金;
关键词
Contingency management; Resilience; Charging stations; Vehicle-to-grid; Costs; Roads; Substations; Convex optimization; coupled traffic and electric networks; electric vehicles; resilience enhancement; user equilibrium; vehicle-to-grid; POWER DISTRIBUTION; TRANSPORTATION; ENERGY; V2G; EXPANSION; STATIONS;
D O I
10.1109/TIA.2023.3272870
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Electric vehicles (EVs) can be viewed as both electric loads and a type of mobile storage resource. Effective management and utilization of EVs can yield significant benefits for networks. This article proposes a novel resilience enhancement method for coupled traffic-electric networks with a high penetration of EVs, incorporating two specific strategies in response to contingencies. The first strategy involves rerouting and reselecting charging stations for power-deficient EVs, while the second entails redispatching power-sufficient EVs to the most suitable nearby charging stations to provide grid support through vehicle-to-grid technology. A carefully designed pricing mechanism, which includes imposing additional road congestion tolls and charging station charging fees, is incorporated to facilitate rerouting and charging station reselection for EVs under the user equilibrium principle. Furthermore, a formulation incorporating the two proposed resilience enhancement strategies for coupled traffic-electric networks is presented. This formulation enables coordination between the two networks to capitalize on flexibility derived from sector coupling. A series of linearization techniques are then introduced to transform the original problem into a mixed-integer quadratically constrained programming model. Numerical results based on a coupled network with 20 traffic roads and 21 electric buses are presented to demonstrate the effectiveness of the proposed resilience enhancement method.
引用
收藏
页码:953 / 965
页数:13
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