Coevolution and Evaluation of Electric Vehicles and Power Grids Based on Complex Networks

Di Zhang, Yaxiong Kang, Li Ji, Ruifeng Shi and Limin Jia
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Di Zhang: State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China
Yaxiong Kang: College of Information Science and Engineering, China University of Petroleum, Beijing 102249, China
Li Ji: College of Information Science and Engineering, China University of Petroleum, Beijing 102249, China
Ruifeng Shi: School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
Limin Jia: State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China

Sustainability, 2022, vol. 14, issue 12, 1-15

Abstract: The connection of electric vehicles to the power grid has a significant impact on the structure and stability of the power grid. To evaluate the performance index of a power grid, this paper introduces a collaborative evolution model of a power grid containing electric vehicles based on a complex network. The location of the electric vehicle network node is obtained by combining the evolution mode of the complex network and the restrictive conditions of the electric vehicle access network. Due to the dual attributes of electric vehicles, such as load and battery, electric vehicle access points will be used as special nodes in the network to calculate their effect on the power grid. In this paper, the Monte Carlo method is used to evaluate the effect of electric vehicle nodes on the whole network in the case of each probability failure in the power grid. The proposed method is numerically illustrated in the test case of the rbt-bus-f4 feeder system.

Keywords: electric vehicle; distribution network reliability; complex network; Monte Carlo algorithm (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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