An Optimal Design and Analysis of A Hybrid Power Charging Station for Electric Vehicles Considering Uncertainties
被引:0
作者:
Li, Taoyong
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机构:
China Elect Power Res Inst Co Ltd, Beijing Elect Vehicle Charging Battery Swap Engn, Beijing 100192, Peoples R ChinaChina Elect Power Res Inst Co Ltd, Beijing Elect Vehicle Charging Battery Swap Engn, Beijing 100192, Peoples R China
Li, Taoyong
[1
]
Zhang, Jing
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机构:
China Elect Power Res Inst Co Ltd, Beijing Elect Vehicle Charging Battery Swap Engn, Beijing 100192, Peoples R ChinaChina Elect Power Res Inst Co Ltd, Beijing Elect Vehicle Charging Battery Swap Engn, Beijing 100192, Peoples R China
Zhang, Jing
[1
]
Zhang, Yuanxing
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机构:
China Elect Power Res Inst Co Ltd, Beijing Elect Vehicle Charging Battery Swap Engn, Beijing 100192, Peoples R ChinaChina Elect Power Res Inst Co Ltd, Beijing Elect Vehicle Charging Battery Swap Engn, Beijing 100192, Peoples R China
Zhang, Yuanxing
[1
]
Jiang, Linru
论文数: 0引用数: 0
h-index: 0
机构:
China Elect Power Res Inst Co Ltd, Beijing Elect Vehicle Charging Battery Swap Engn, Beijing 100192, Peoples R ChinaChina Elect Power Res Inst Co Ltd, Beijing Elect Vehicle Charging Battery Swap Engn, Beijing 100192, Peoples R China
Jiang, Linru
[1
]
Li, Bin
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机构:
China Elect Power Res Inst Co Ltd, Beijing Elect Vehicle Charging Battery Swap Engn, Beijing 100192, Peoples R ChinaChina Elect Power Res Inst Co Ltd, Beijing Elect Vehicle Charging Battery Swap Engn, Beijing 100192, Peoples R China
Li, Bin
[1
]
Yan, Dongxiang
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机构:
Shanghai Jiao Tong Univ, UM SJTU Joint Inst, Shanghai 200240, Peoples R ChinaChina Elect Power Res Inst Co Ltd, Beijing Elect Vehicle Charging Battery Swap Engn, Beijing 100192, Peoples R China
Yan, Dongxiang
[2
]
Ma, Chengbin
论文数: 0引用数: 0
h-index: 0
机构:
Shanghai Jiao Tong Univ, UM SJTU Joint Inst, Shanghai 200240, Peoples R ChinaChina Elect Power Res Inst Co Ltd, Beijing Elect Vehicle Charging Battery Swap Engn, Beijing 100192, Peoples R China
Ma, Chengbin
[2
]
机构:
[1] China Elect Power Res Inst Co Ltd, Beijing Elect Vehicle Charging Battery Swap Engn, Beijing 100192, Peoples R China
[2] Shanghai Jiao Tong Univ, UM SJTU Joint Inst, Shanghai 200240, Peoples R China
来源:
IECON 2018 - 44TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY
|
2018年
关键词:
charging station;
electric vehicles;
uncertainty;
energy management strategy;
optimal sizing;
OPTIMIZATION;
D O I:
暂无
中图分类号:
TM [电工技术];
TN [电子技术、通信技术];
学科分类号:
0808 ;
0809 ;
摘要:
The charging problem becomes prominent with the increasing number of electric vehicles. It is necessary to built charging station (CS), like the gasoline station, to satisfy the recharging and be convenient for the drivers. In this paper, a new type of charging station integrated with renewable energy source was studied. A hierarchical energy management strategy oriented to real-time application was proposed to handle the uncertainties. To determine the optimal size of the CS by considering multi-objective including economic, environment and battery energy storage system degradation, Monte Carlo simulation was adopted to solve the problem with many uncertainties. We treated battery degradation as a specific objective function. And we obtained the optimal Pareto set. The result demonstrated the optimal decision variable for CS sizing can compromise the objectives as well as realize the reasonable resource dispatch.