Electric Vehicle Charging Station Location Decision Analysis for a Two-Stage Optimization Model Based on Shapley Function

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 ind...

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Published in:Journal of mathematics (Hidawi) 2021, Vol.2021, p.1-9
Main Authors: Yang, Lifeng, Cheng, Zhongwei, Zhang, Baojie, Ma, Fengyun
Format: Article
Language:English
Subjects:
Accuracy
Construction costs
Decision analysis
Decision making
Electric vehicle charging
Electric vehicle charging stations
Electric vehicles
Emissions control
Energy industry
Fuzzy logic
Fuzzy sets
Income distribution
Linear programming
Mathematical analysis
Mathematics
Multiple criterion
Operators (mathematics)
Optimization
Optimization models
Performance indices
Weight
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cited_by cdi_FETCH-LOGICAL-c3188-f0c3f63d0c7d0d0cc2a4cf5ea1409836bd1ffbd5f3b3589028fe1c48a2ad25f23
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container_title Journal of mathematics (Hidawi)
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creator Yang, Lifeng
Cheng, Zhongwei
Zhang, Baojie
Ma, Fengyun
description 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.
doi_str_mv 10.1155/2021/5098378
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subjects Accuracy
Construction costs
Decision analysis
Decision making
Electric vehicle charging
Electric vehicle charging stations
Electric vehicles
Emissions control
Energy industry
Fuzzy logic
Fuzzy sets
Income distribution
Linear programming
Mathematical analysis
Mathematics
Multiple criterion
Operators (mathematics)
Optimization
Optimization models
Performance indices
Weight
title Electric Vehicle Charging Station Location Decision Analysis for a Two-Stage Optimization Model Based on Shapley Function
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