晏鸣宇

个人信息Personal Information

研究员(自然科学)   博士生导师   硕士生导师  

性别:男

在职信息:在职

所在单位:电气与电子工程学院

学历:研究生(博士)毕业

学位:工学博士学位

毕业院校:伊利诺伊理工大学

学科:电力系统及其自动化

论文成果

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

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论文类型:期刊论文

第一作者:Wei Gan

合写作者:Jianfeng Wen,Mingyu Yan,Yue Zhou,Wei Yao

发表刊物:IEEE Transactions on Industry Applications

收录刊物:SCI

学科门类:工学

一级学科:电气工程

文献类型:J

ISSN号:0093-9994

关键字:Electric vehicles, vehicle-to-grid, resilience enhancement, coupled traffic and electric networks, user equilibrium, convex optimization.

DOI码:10.1109/TIA.2023.3272870

发表时间:2023-05-04

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 paper 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.

发布期刊链接:https://ieeexplore.ieee.org/abstract/document/10115467/authors#authors