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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Main Authors: Jie Yang, Weiqiang Wang, Kai Ma, Bo Yang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8672103/
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spelling 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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