Optimal Configuration of Shared PV-Storage Integrated Fast Charging Station in Old Residential Communities

Jiayang Tu; Hang Yu; Linni Jian

doi:10.1109/EI259745.2023.10512943

Optimal Configuration of Shared PV-Storage Integrated Fast Charging Station in Old Residential Communities

Jiayang Tu
, Hang Yu
, Linni Jian

Southern University of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

The electric vehicle (EV) industry has experienced explosive growth in recent years. Although the extensive deployment of charging infrastructure is common to mitigate the range anxiety of EV owners, this is not a wise solution for old residential communities due to the limited power capacity and parking space. In this paper, the shared PV-Storage integrated fast charging station is introduced to address the difficult-to-charge issue in old residential communities. This paper proposes a novel optimal configuration method to minimize charging station space and charging pile investment, while optimizing the capacity of photovoltaic (PV) and energy storage. Through the field assessment for a residential area in Shenzhen, the data such as power load and light intensity were obtained and used to establish a configuration mode. The final case study shows that the optimal number of parking spaces is 6, the PV capacity is 73.9721kW, and the equipped energy storage capacity is 473.0349kWh (146.7624kW).

Original language	English
Title of host publication	2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	790-795
Number of pages	6
ISBN (Electronic)	9798350345094
DOIs	https://doi.org/10.1109/EI259745.2023.10512943
State	Published - 2023
Externally published	Yes
Event	7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023 - Hangzhou, China Duration: 15 Dec 2023 → 18 Dec 2023

Publication series

Name	2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023

Conference

Conference	7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023
Country/Territory	China
City	Hangzhou
Period	15/12/23 → 18/12/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Electric Vehicles (EVs)
Old Residential Communities (ORC)
fast charging station
optimal configuration

Access to Document

10.1109/EI259745.2023.10512943

Cite this

Tu, J., Yu, H., & Jian, L. (2023). Optimal Configuration of Shared PV-Storage Integrated Fast Charging Station in Old Residential Communities. In 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023 (pp. 790-795). (2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EI259745.2023.10512943

Tu, Jiayang ; Yu, Hang ; Jian, Linni. / Optimal Configuration of Shared PV-Storage Integrated Fast Charging Station in Old Residential Communities. 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 790-795 (2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023).

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title = "Optimal Configuration of Shared PV-Storage Integrated Fast Charging Station in Old Residential Communities",

abstract = "The electric vehicle (EV) industry has experienced explosive growth in recent years. Although the extensive deployment of charging infrastructure is common to mitigate the range anxiety of EV owners, this is not a wise solution for old residential communities due to the limited power capacity and parking space. In this paper, the shared PV-Storage integrated fast charging station is introduced to address the difficult-to-charge issue in old residential communities. This paper proposes a novel optimal configuration method to minimize charging station space and charging pile investment, while optimizing the capacity of photovoltaic (PV) and energy storage. Through the field assessment for a residential area in Shenzhen, the data such as power load and light intensity were obtained and used to establish a configuration mode. The final case study shows that the optimal number of parking spaces is 6, the PV capacity is 73.9721kW, and the equipped energy storage capacity is 473.0349kWh (146.7624kW).",

keywords = "Electric Vehicles (EVs), Old Residential Communities (ORC), fast charging station, optimal configuration",

author = "Jiayang Tu and Hang Yu and Linni Jian",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023 ; Conference date: 15-12-2023 Through 18-12-2023",

year = "2023",

doi = "10.1109/EI259745.2023.10512943",

language = "英语",

series = "2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "790--795",

booktitle = "2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023",

address = "美国",

}

Tu, J, Yu, H & Jian, L 2023, Optimal Configuration of Shared PV-Storage Integrated Fast Charging Station in Old Residential Communities. in 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023. 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023, Institute of Electrical and Electronics Engineers Inc., pp. 790-795, 7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023, Hangzhou, China, 15/12/23. https://doi.org/10.1109/EI259745.2023.10512943

Optimal Configuration of Shared PV-Storage Integrated Fast Charging Station in Old Residential Communities. / Tu, Jiayang; Yu, Hang; Jian, Linni.
2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 790-795 (2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Optimal Configuration of Shared PV-Storage Integrated Fast Charging Station in Old Residential Communities

AU - Tu, Jiayang

AU - Yu, Hang

AU - Jian, Linni

PY - 2023

Y1 - 2023

N2 - The electric vehicle (EV) industry has experienced explosive growth in recent years. Although the extensive deployment of charging infrastructure is common to mitigate the range anxiety of EV owners, this is not a wise solution for old residential communities due to the limited power capacity and parking space. In this paper, the shared PV-Storage integrated fast charging station is introduced to address the difficult-to-charge issue in old residential communities. This paper proposes a novel optimal configuration method to minimize charging station space and charging pile investment, while optimizing the capacity of photovoltaic (PV) and energy storage. Through the field assessment for a residential area in Shenzhen, the data such as power load and light intensity were obtained and used to establish a configuration mode. The final case study shows that the optimal number of parking spaces is 6, the PV capacity is 73.9721kW, and the equipped energy storage capacity is 473.0349kWh (146.7624kW).

AB - The electric vehicle (EV) industry has experienced explosive growth in recent years. Although the extensive deployment of charging infrastructure is common to mitigate the range anxiety of EV owners, this is not a wise solution for old residential communities due to the limited power capacity and parking space. In this paper, the shared PV-Storage integrated fast charging station is introduced to address the difficult-to-charge issue in old residential communities. This paper proposes a novel optimal configuration method to minimize charging station space and charging pile investment, while optimizing the capacity of photovoltaic (PV) and energy storage. Through the field assessment for a residential area in Shenzhen, the data such as power load and light intensity were obtained and used to establish a configuration mode. The final case study shows that the optimal number of parking spaces is 6, the PV capacity is 73.9721kW, and the equipped energy storage capacity is 473.0349kWh (146.7624kW).

KW - Electric Vehicles (EVs)

KW - Old Residential Communities (ORC)

KW - fast charging station

KW - optimal configuration

UR - https://www.scopus.com/pages/publications/85194151409

U2 - 10.1109/EI259745.2023.10512943

DO - 10.1109/EI259745.2023.10512943

M3 - 会议稿件

AN - SCOPUS:85194151409

T3 - 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023

SP - 790

EP - 795

BT - 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023

Y2 - 15 December 2023 through 18 December 2023

ER -

Tu J, Yu H, Jian L. Optimal Configuration of Shared PV-Storage Integrated Fast Charging Station in Old Residential Communities. In 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 790-795. (2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023). doi: 10.1109/EI259745.2023.10512943

Optimal Configuration of Shared PV-Storage Integrated Fast Charging Station in Old Residential Communities

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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