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Accelerating Discoveries in Traffic Science

Accelerating Discoveries in Traffic Science

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PUBLISHED
02.11.2016
DOI
https://doi.org/10.7307/ptt.v28i5.1974
ISSUE
2016 (Vol 28), Issue 5
LICENSE
Copyright (c) 2024 Yagang Zhang, Dingli Qi, Wei Jiang, Shuang Lei
Creative Commons 4.0 logo
This work is licensed under a
Creative Commons Attribution-NonCommercial-
NoDerivatives 4.0 International License.

Optimal Allocation of Changing Station for Electric Vehicle Based on Queuing Theory

Authors:

Yagang Zhang
North China Electric Power University

Dingli Qi
North China Electric Power University

Wei Jiang
North China Electric Power University

Shuang Lei
North China Electric Power University

Keywords:electric vehicle, charging station, centralized charging station, grey system model, queuing theory,

Abstract

Electric vehicle as the main development direction of the future automotive industry, has gained attention worldwide. The rationality of the planning and construction of the power station, as the foundation of energy supply, is an important premise for the development of electric vehicles. In full consideration of the electric demand and electricity consumption, this paper proposes a new construction mode in which charging station and centralized charging station are appropriately combined and presents a location optimization model. Not only can this model be applied to determine the appropriate location for the power station, but it can use the queuing theory to determine the optimal number of power equipment, with which we can achieve the minimum costs. Finally, taking a certain city as an example, the optimum plan for power station is calculated by using this model, which provides an important reference for the study of electric vehicle infrastructure planning.

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How to Cite
Zhang, Y. (et al.) 2016. Optimal Allocation of Changing Station for Electric Vehicle Based on Queuing Theory. Traffic&Transportation Journal. 28, 5 (Nov. 2016), 497-505. DOI: https://doi.org/10.7307/ptt.v28i5.1974.

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