A two-stage ambiguous stochastic program for electric vehicle charging station location problem with valet charging service

2021 ◽  
Vol 153 ◽  
pp. 149-171
Author(s):  
Na Li ◽  
Yue Jiang ◽  
Zhi-Hai Zhang
2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Lifeng Yang ◽  
Zhongwei Cheng ◽  
Baojie Zhang ◽  
Fengyun Ma

The promotion of electric vehicles and their charging facilities to achieve carbon emission reduction is a research hotspot in the field of transportation. Aiming at the comprehensive decision of electric vehicle charging station (EVCS) location, this paper constructs an EVCS location evaluation index system that includes five indexes of grid load, traffic facilities, user preference, construction cost, and service radius. Firstly, we convert the exact number into interval judgment matrix, introduce Shapley fuzzy measure to calculate the weight of factors, and use the two-stage optimization model to further optimize the weight. Then, we combine the multiple criteria decision-making (MCDM) method in the Pythagorean fuzzy environment with partitioned normalized weighted Bonferroni mean (PFPNWBM) operator, and calculate the optimal ranking of alternatives according to the performance function and the accuracy function. Finally, a numerical example is used to analyze the difference between first-order linear optimization and two-stage optimization in alternative scheme evaluation, and the practical value of using model to evaluate EVCS location is verified.


2014 ◽  
Vol 953-954 ◽  
pp. 1338-1341 ◽  
Author(s):  
Zong Feng Li ◽  
Chun Lin Guo ◽  
Jun Chen ◽  
Zhe Ci Tang ◽  
Wen Chen ◽  
...  

As a promising transport in the future, electric vehicles plays an important role in people's lives and energy conservation. Planning of electric vehicle charging stations has a far-reaching significance for the popularity of electric vehicles. In this paper, we discuss the siting problem of electric vehicle charging station and propose a two-step method of optimization method. Firstly, we establish a charging station location model, then use Voronoi diagram to determine the preliminary zone, finally we get this problem optimally solved by immune algorithm.The example verifies feasibility of this model.


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