Impact of Road-Block on Peak-Load of Coupled Traffic and Energy Transportation Networks
AbstractWith 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. The model is able to analyze the spatial and temporal distribution characteristics of EVs, and measure the impacts on power grids and transportation networks with road-block. The IEEE 33-bus system with geographic information was used as a test system to verify the effectiveness of the model. View Full-Text
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Yang, X.; Li, Y.; Cai, Y.; Cao, Y.; Lee, K.Y.; Jia, Z. Impact of Road-Block on Peak-Load of Coupled Traffic and Energy Transportation Networks. Energies 2018, 11, 1776.
Yang X, Li Y, Cai Y, Cao Y, Lee KY, Jia Z. Impact of Road-Block on Peak-Load of Coupled Traffic and Energy Transportation Networks. Energies. 2018; 11(7):1776.Chicago/Turabian Style
Yang, Xian; Li, Yong; Cai, Ye; Cao, Yijia; Lee, Kwang Y.; Jia, Zhijian. 2018. "Impact of Road-Block on Peak-Load of Coupled Traffic and Energy Transportation Networks." Energies 11, no. 7: 1776.
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