Optimal Dispatching Strategy for Shared Battery Station of Electric Vehicle by Divisional Battery Control
With increasing application of electric vehicle (EV), the battery swapping station (BSS) and battery charging station (BCS) have gradually gained recognition by electric vehicle users. With the stations, it is possible to refuel within several minutes, which promotes the EV popularization greatly. I...
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doaj-2d11a7f2c74e4dc7822289f49cee83862021-04-05T17:00:41ZengIEEEIEEE Access2169-35362019-01-017382243823510.1109/ACCESS.2019.29064888672103Optimal Dispatching Strategy for Shared Battery Station of Electric Vehicle by Divisional Battery ControlJie Yang0https://orcid.org/0000-0003-4909-9120Weiqiang Wang1Kai Ma2https://orcid.org/0000-0003-3517-5620Bo Yang3School of Electrical Engineering, Yanshan University, Qinhuangdao, ChinaSchool of Electrical Engineering, Yanshan University, Qinhuangdao, ChinaSchool of Electrical Engineering, Yanshan University, Qinhuangdao, ChinaKey Laboratory of System Control and Information Processing, Ministry of Education, Shanghai Jiao Tong University, Shanghai, ChinaWith increasing application of electric vehicle (EV), the battery swapping station (BSS) and battery charging station (BCS) have gradually gained recognition by electric vehicle users. With the stations, it is possible to refuel within several minutes, which promotes the EV popularization greatly. In this paper, a shared battery station (SBS) model is proposed, which is a multi-functional facility having the ability to charge, discharging, sleeping, and swapping abilities. Just like other shared economic, the customer has temporary access to the battery and pays corresponding fees according to swapping energy. Different from the traditional BCS and BSS, the SBS has a new business model. Besides, based on divisional battery control method, a battery dispatching strategy is proposed to control the charging, discharging, sleeping, and swapping processes. Through the divisional battery control method, the number of variables can be reduced greatly. Hence, the large-scale battery dispatching problem can be solved reasonably and quickly. From the view of the operator, an optimization objective function to maximize the revenue is established to optimize the number of batteries in each segment in each time slot. The dispatching strategy and the objective function cooperate with each other during the SBS operation to satisfy customers' battery demand, to ensure a sustainable and safe operation, and to participate in peak shaving and valley filling. Using the genetic algorithm, we perform extensive simulations to validate the optimization model and to demonstrate the efficiency of the dispatching strategy.https://ieeexplore.ieee.org/document/8672103/Shared battery stationdispatching strategyelectric vehiclepeak shaving and valley fillingdivisional battery control |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jie Yang Weiqiang Wang Kai Ma Bo Yang |
spellingShingle |
Jie Yang Weiqiang Wang Kai Ma Bo Yang Optimal Dispatching Strategy for Shared Battery Station of Electric Vehicle by Divisional Battery Control IEEE Access Shared battery station dispatching strategy electric vehicle peak shaving and valley filling divisional battery control |
author_facet |
Jie Yang Weiqiang Wang Kai Ma Bo Yang |
author_sort |
Jie Yang |
title |
Optimal Dispatching Strategy for Shared Battery Station of Electric Vehicle by Divisional Battery Control |
title_short |
Optimal Dispatching Strategy for Shared Battery Station of Electric Vehicle by Divisional Battery Control |
title_full |
Optimal Dispatching Strategy for Shared Battery Station of Electric Vehicle by Divisional Battery Control |
title_fullStr |
Optimal Dispatching Strategy for Shared Battery Station of Electric Vehicle by Divisional Battery Control |
title_full_unstemmed |
Optimal Dispatching Strategy for Shared Battery Station of Electric Vehicle by Divisional Battery Control |
title_sort |
optimal dispatching strategy for shared battery station of electric vehicle by divisional battery control |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2019-01-01 |
description |
With increasing application of electric vehicle (EV), the battery swapping station (BSS) and battery charging station (BCS) have gradually gained recognition by electric vehicle users. With the stations, it is possible to refuel within several minutes, which promotes the EV popularization greatly. In this paper, a shared battery station (SBS) model is proposed, which is a multi-functional facility having the ability to charge, discharging, sleeping, and swapping abilities. Just like other shared economic, the customer has temporary access to the battery and pays corresponding fees according to swapping energy. Different from the traditional BCS and BSS, the SBS has a new business model. Besides, based on divisional battery control method, a battery dispatching strategy is proposed to control the charging, discharging, sleeping, and swapping processes. Through the divisional battery control method, the number of variables can be reduced greatly. Hence, the large-scale battery dispatching problem can be solved reasonably and quickly. From the view of the operator, an optimization objective function to maximize the revenue is established to optimize the number of batteries in each segment in each time slot. The dispatching strategy and the objective function cooperate with each other during the SBS operation to satisfy customers' battery demand, to ensure a sustainable and safe operation, and to participate in peak shaving and valley filling. Using the genetic algorithm, we perform extensive simulations to validate the optimization model and to demonstrate the efficiency of the dispatching strategy. |
topic |
Shared battery station dispatching strategy electric vehicle peak shaving and valley filling divisional battery control |
url |
https://ieeexplore.ieee.org/document/8672103/ |
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