Bi-Level Planning of Multi-Functional Vehicle Charging Stations Considering Land Use Types

Locating and planning charging stations for Low-Emission Vehicles (LEVs) such as Battery Electric Vehicle (BEV), Hydrogen Fuel-Cell Vehicle (HFCV), and Natural Gas Vehicle (NGV) are becoming increasingly important for LEV users, government, and the automobile industry. Conventional planning approach...

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Main Authors: Zhi Wu, Yuxuan Zhuang, Suyang Zhou, Shuning Xu, Peng Yu, Jinqiao Du, Xiner Luo, Ghulam Abbas
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Energies
Subjects:
Online Access:https://www.mdpi.com/1996-1073/13/5/1283
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author Zhi Wu
Yuxuan Zhuang
Suyang Zhou
Shuning Xu
Peng Yu
Jinqiao Du
Xiner Luo
Ghulam Abbas
author_facet Zhi Wu
Yuxuan Zhuang
Suyang Zhou
Shuning Xu
Peng Yu
Jinqiao Du
Xiner Luo
Ghulam Abbas
author_sort Zhi Wu
collection DOAJ
description Locating and planning charging stations for Low-Emission Vehicles (LEVs) such as Battery Electric Vehicle (BEV), Hydrogen Fuel-Cell Vehicle (HFCV), and Natural Gas Vehicle (NGV) are becoming increasingly important for LEV users, government, and the automobile industry. Conventional planning approach of charging station usually plans single functional charging station that can only serve one kind of LEVs, and other factors such as fuel type, driving range, initial fuel tank level, and refueling time of the LEV are less considered in the planning stage. In this article, we propose a bi-level planning model to locate and size Multi-Functional Charging Station (MFCS) which can recharge BEV, HFCV, and NGV at the same time in a medium-sized city with different functional areas (e.g., residential area, industrial area, CBD area). We also established a method for generating a daily route considering vehicle attributes and user habits, and we loaded these traveling data into the upper model to select a set of optimal combinations of refueling station locations with a relatively high success ratio. In the lower model, we introduced the mathematical relationship between number of chargers and average user waiting time, and set the total social cost factor, including investment cost and waiting time cost, to evaluate each optimal combination, and then identified the optimum locational result and defined the size of each station. In the case study, we verify the proposed model in several scenarios and conclude that multifunctional refueling station performs better in terms of investment cost and users’ satisfaction level.
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spelling doaj.art-d6029a6af52e40208e49ef0626c80ba02022-12-22T04:22:25ZengMDPI AGEnergies1996-10732020-03-01135128310.3390/en13051283en13051283Bi-Level Planning of Multi-Functional Vehicle Charging Stations Considering Land Use TypesZhi Wu0Yuxuan Zhuang1Suyang Zhou2Shuning Xu3Peng Yu4Jinqiao Du5Xiner Luo6Ghulam Abbas7School of Electrical Engineering, Southeast University, Nanjing 210096, ChinaSchool of Electrical Engineering, Southeast University, Nanjing 210096, ChinaSchool of Electrical Engineering, Southeast University, Nanjing 210096, ChinaSchool of Politics and Public Administration, Soochow University, Suzhou 215123, ChinaShenzhen Power Supply Bureau Co., Ltd., Shenzhen 518001, ChinaShenzhen Power Supply Bureau Co., Ltd., Shenzhen 518001, ChinaShenzhen Power Supply Bureau Co., Ltd., Shenzhen 518001, ChinaSchool of Electrical Engineering, Southeast University, Nanjing 210096, ChinaLocating and planning charging stations for Low-Emission Vehicles (LEVs) such as Battery Electric Vehicle (BEV), Hydrogen Fuel-Cell Vehicle (HFCV), and Natural Gas Vehicle (NGV) are becoming increasingly important for LEV users, government, and the automobile industry. Conventional planning approach of charging station usually plans single functional charging station that can only serve one kind of LEVs, and other factors such as fuel type, driving range, initial fuel tank level, and refueling time of the LEV are less considered in the planning stage. In this article, we propose a bi-level planning model to locate and size Multi-Functional Charging Station (MFCS) which can recharge BEV, HFCV, and NGV at the same time in a medium-sized city with different functional areas (e.g., residential area, industrial area, CBD area). We also established a method for generating a daily route considering vehicle attributes and user habits, and we loaded these traveling data into the upper model to select a set of optimal combinations of refueling station locations with a relatively high success ratio. In the lower model, we introduced the mathematical relationship between number of chargers and average user waiting time, and set the total social cost factor, including investment cost and waiting time cost, to evaluate each optimal combination, and then identified the optimum locational result and defined the size of each station. In the case study, we verify the proposed model in several scenarios and conclude that multifunctional refueling station performs better in terms of investment cost and users’ satisfaction level.https://www.mdpi.com/1996-1073/13/5/1283multi-functional charging stationcharging station planningbi-level programming
spellingShingle Zhi Wu
Yuxuan Zhuang
Suyang Zhou
Shuning Xu
Peng Yu
Jinqiao Du
Xiner Luo
Ghulam Abbas
Bi-Level Planning of Multi-Functional Vehicle Charging Stations Considering Land Use Types
Energies
multi-functional charging station
charging station planning
bi-level programming
title Bi-Level Planning of Multi-Functional Vehicle Charging Stations Considering Land Use Types
title_full Bi-Level Planning of Multi-Functional Vehicle Charging Stations Considering Land Use Types
title_fullStr Bi-Level Planning of Multi-Functional Vehicle Charging Stations Considering Land Use Types
title_full_unstemmed Bi-Level Planning of Multi-Functional Vehicle Charging Stations Considering Land Use Types
title_short Bi-Level Planning of Multi-Functional Vehicle Charging Stations Considering Land Use Types
title_sort bi level planning of multi functional vehicle charging stations considering land use types
topic multi-functional charging station
charging station planning
bi-level programming
url https://www.mdpi.com/1996-1073/13/5/1283
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