energies Article Impact of Road-Block on Peak-Load of Coupled Traffic and Energy Transportation Networks Xian Yang 1,2, Yong Li 1,* ID , Ye Cai 3, Yijia Cao 1, Kwang Y. Lee 4 and Zhijian Jia 5 1 College of Electrical and Information Engineering, Hunan University, Changsha 410082, China;
[email protected] (X.Y.);
[email protected] (Y.C.) 2 School of Mechanical and Electrical Engineering, Hunan City University, Yiyang 413002, China 3 College of Electrical and Information Engineering, Changsha University of Science &Technology, Changsha 410114, China;
[email protected] 4 Department of Electrical and Computer Engineering, Baylor University, Waco, TX 76798-7356, USA;
[email protected] 5 State Grid Yiyang Power Supply Company, State Grid, Yiyang 413000, China;
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[email protected]; Tel.: +86-152-1107-6213 Received: 19 May 2018; Accepted: 25 June 2018; Published: 6 July 2018 Abstract: With electric vehicles (EVs) pouring into infrastructure systems, coupled traffic and energy transportation networks (CTETNs) can be applied to capture the interactions between the power grids and transportation networks. However, most research has focused solely on the impacts of EV penetration on power grids or transportation networks. Therefore, a simulation model was required for the interactions between the two critical infrastructures, as one had yet to be developed. In this paper, we build a framework with four domains and propose a new method to simulate the interactions and the feedback effects among CTETNs. Considered more accurately reflecting a realistic situation, an origin-destination (OD) pair strategy, a charging strategy, and an attack strategy are modeled based on the vehicle flow and power flow.