Optimal Charging Strategy of Electric Vehicles with Consideration of Battery Storage

Optimal Charging Strategy of Electric Vehicles with Consideration of Battery Storage

The high penetration of electric vehicles (EVs) will increase burden of a power grid. However, the expansion of capacity of distribution facilities is not always possible, especially in some old residential community. This paper proposes to use an optimal charging strategy of EVs with additional bat...

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Main Authors: Zou Dazhong, Meng Da, Dai Yinping, Lu Shuai, Xie Huan
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/12/e3sconf_icersd2020_02015.pdf
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spelling doaj-c37272df98c64c268b222dde9b38c0682021-02-18T10:43:15ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012360201510.1051/e3sconf/202123602015e3sconf_icersd2020_02015Optimal Charging Strategy of Electric Vehicles with Consideration of Battery StorageZou Dazhong0Meng Da1Dai Yinping2Lu Shuai3Xie Huan4China Southern Power Grid Electric Vehicle Service Co., Ltd, 518116 Xinghe world phase III, Longgang DistrictChengdu HuaMod Technologies Co., Ltd, 610200 Xinglonghu Tianfu New Economic Industrial Park, ChengduChengdu HuaMod Technologies Co., Ltd, 610200 Xinglonghu Tianfu New Economic Industrial Park, ChengduChengdu HuaMod Technologies Co., Ltd, 610200 Xinglonghu Tianfu New Economic Industrial Park, ChengduChengdu HuaMod Technologies Co., Ltd, 610200 Xinglonghu Tianfu New Economic Industrial Park, ChengduThe high penetration of electric vehicles (EVs) will increase burden of a power grid. However, the expansion of capacity of distribution facilities is not always possible, especially in some old residential community. This paper proposes to use an optimal charging strategy of EVs with additional battery energy storage (BES) to improve the charging capabilities in a residential community. By modeling the EV charging behavior, the required charging capacity is evaluated using Monte Carlo method and the BES size is determined as the difference between the required capacity and the distribution capacity. An optimal charging strategy is then proposed to reduce the charging cost and ensure the safe running of distribution network.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/12/e3sconf_icersd2020_02015.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Zou Dazhong
Meng Da
Dai Yinping
Lu Shuai
Xie Huan
spellingShingle Zou Dazhong
Meng Da
Dai Yinping
Lu Shuai
Xie Huan
Optimal Charging Strategy of Electric Vehicles with Consideration of Battery Storage
E3S Web of Conferences
author_facet Zou Dazhong
Meng Da
Dai Yinping
Lu Shuai
Xie Huan
author_sort Zou Dazhong
title Optimal Charging Strategy of Electric Vehicles with Consideration of Battery Storage
title_short Optimal Charging Strategy of Electric Vehicles with Consideration of Battery Storage
title_full Optimal Charging Strategy of Electric Vehicles with Consideration of Battery Storage
title_fullStr Optimal Charging Strategy of Electric Vehicles with Consideration of Battery Storage
title_full_unstemmed Optimal Charging Strategy of Electric Vehicles with Consideration of Battery Storage
title_sort optimal charging strategy of electric vehicles with consideration of battery storage
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2021-01-01
description The high penetration of electric vehicles (EVs) will increase burden of a power grid. However, the expansion of capacity of distribution facilities is not always possible, especially in some old residential community. This paper proposes to use an optimal charging strategy of EVs with additional battery energy storage (BES) to improve the charging capabilities in a residential community. By modeling the EV charging behavior, the required charging capacity is evaluated using Monte Carlo method and the BES size is determined as the difference between the required capacity and the distribution capacity. An optimal charging strategy is then proposed to reduce the charging cost and ensure the safe running of distribution network.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/12/e3sconf_icersd2020_02015.pdf
work_keys_str_mv AT zoudazhong optimalchargingstrategyofelectricvehicleswithconsiderationofbatterystorage
AT mengda optimalchargingstrategyofelectricvehicleswithconsiderationofbatterystorage
AT daiyinping optimalchargingstrategyofelectricvehicleswithconsiderationofbatterystorage
AT lushuai optimalchargingstrategyofelectricvehicleswithconsiderationofbatterystorage
AT xiehuan optimalchargingstrategyofelectricvehicleswithconsiderationofbatterystorage
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