Integrated Energy Management for Electric Vehicle Fleets with Detailed Evaluation of Solar Charging Station

Shan He; Yuming Zhao; Habib Salman; Youwei Jia

doi:10.1109/EEPS58791.2023.10256885

Integrated Energy Management for Electric Vehicle Fleets with Detailed Evaluation of Solar Charging Station

Shan He
, Yuming Zhao
, Habib Salman^*
, Youwei Jia

^*Corresponding author for this work

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

6 Scopus citations

Abstract

This study presents an assessment of an electric vehicle (EV) charging station to achieve effective integration of renewable energy, energy management, and optimization of charging schedules. The main objective of the study is optimal energy allocation among a photovoltaic (PV), battery energy storage system (BESS), and grid to fulfill the energy requirements of EVs while minimizing the cost of energy (COE). The study considers a grid-connected PV based charging station (PVBCS), where EVs are charged using solar energy during daylight hours and surplus energy is stored in the BESS or sold back to the grid. During the nighttime, both the grid and BESS contribute to charging the EVs. Moreover, the study investigates the optimal allocation of power among all available sources throughout the day and also considers seasonal variability of PV output. Environmental benefits and 10,780 annualized charging sessions are also achieved in the study. The proposed study achieves optimized energy utilization of 64.1% from renewable energy resources (RERs), resulting in reduced COE to 0.086/kWh, addressing environmental concerns and optimizing EVs load.

Original language	English
Title of host publication	2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	127-132
Number of pages	6
ISBN (Electronic)	9798350313857
DOIs	https://doi.org/10.1109/EEPS58791.2023.10256885
State	Published - 2023
Externally published	Yes

Publication series

Name	2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

Charging Stations
Energy Management
EV Scheduling
PVbased charging station (PVBCS)
Renewable Energy Resources (RERs)

ASJC Scopus subject areas

Computer Networks and Communications
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering
Safety, Risk, Reliability and Quality
Control and Optimization

UN SDGs

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

Access to Document

10.1109/EEPS58791.2023.10256885

Cite this

He, S., Zhao, Y., Salman, H., & Jia, Y. (2023). Integrated Energy Management for Electric Vehicle Fleets with Detailed Evaluation of Solar Charging Station. In 2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023 (pp. 127-132). (2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EEPS58791.2023.10256885

He, Shan ; Zhao, Yuming ; Salman, Habib et al. / Integrated Energy Management for Electric Vehicle Fleets with Detailed Evaluation of Solar Charging Station. 2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 127-132 (2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023).

@inproceedings{ce777e70d07b42049b54fae4696e8968,

title = "Integrated Energy Management for Electric Vehicle Fleets with Detailed Evaluation of Solar Charging Station",

abstract = "This study presents an assessment of an electric vehicle (EV) charging station to achieve effective integration of renewable energy, energy management, and optimization of charging schedules. The main objective of the study is optimal energy allocation among a photovoltaic (PV), battery energy storage system (BESS), and grid to fulfill the energy requirements of EVs while minimizing the cost of energy (COE). The study considers a grid-connected PV based charging station (PVBCS), where EVs are charged using solar energy during daylight hours and surplus energy is stored in the BESS or sold back to the grid. During the nighttime, both the grid and BESS contribute to charging the EVs. Moreover, the study investigates the optimal allocation of power among all available sources throughout the day and also considers seasonal variability of PV output. Environmental benefits and 10,780 annualized charging sessions are also achieved in the study. The proposed study achieves optimized energy utilization of 64.1\% from renewable energy resources (RERs), resulting in reduced COE to 0.086/kWh, addressing environmental concerns and optimizing EVs load.",

keywords = "Charging Stations, Energy Management, EV Scheduling, PVbased charging station (PVBCS), Renewable Energy Resources (RERs)",

author = "Shan He and Yuming Zhao and Habib Salman and Youwei Jia",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.",

year = "2023",

doi = "10.1109/EEPS58791.2023.10256885",

language = "English",

series = "2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023",

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

pages = "127--132",

booktitle = "2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023",

address = "United States",

}

He, S, Zhao, Y, Salman, H & Jia, Y 2023, Integrated Energy Management for Electric Vehicle Fleets with Detailed Evaluation of Solar Charging Station. in 2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023. 2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023, Institute of Electrical and Electronics Engineers Inc., pp. 127-132. https://doi.org/10.1109/EEPS58791.2023.10256885

Integrated Energy Management for Electric Vehicle Fleets with Detailed Evaluation of Solar Charging Station. / He, Shan; Zhao, Yuming; Salman, Habib et al.
2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 127-132 (2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023).

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

TY - GEN

T1 - Integrated Energy Management for Electric Vehicle Fleets with Detailed Evaluation of Solar Charging Station

AU - He, Shan

AU - Zhao, Yuming

AU - Salman, Habib

AU - Jia, Youwei

PY - 2023

Y1 - 2023

N2 - This study presents an assessment of an electric vehicle (EV) charging station to achieve effective integration of renewable energy, energy management, and optimization of charging schedules. The main objective of the study is optimal energy allocation among a photovoltaic (PV), battery energy storage system (BESS), and grid to fulfill the energy requirements of EVs while minimizing the cost of energy (COE). The study considers a grid-connected PV based charging station (PVBCS), where EVs are charged using solar energy during daylight hours and surplus energy is stored in the BESS or sold back to the grid. During the nighttime, both the grid and BESS contribute to charging the EVs. Moreover, the study investigates the optimal allocation of power among all available sources throughout the day and also considers seasonal variability of PV output. Environmental benefits and 10,780 annualized charging sessions are also achieved in the study. The proposed study achieves optimized energy utilization of 64.1% from renewable energy resources (RERs), resulting in reduced COE to 0.086/kWh, addressing environmental concerns and optimizing EVs load.

AB - This study presents an assessment of an electric vehicle (EV) charging station to achieve effective integration of renewable energy, energy management, and optimization of charging schedules. The main objective of the study is optimal energy allocation among a photovoltaic (PV), battery energy storage system (BESS), and grid to fulfill the energy requirements of EVs while minimizing the cost of energy (COE). The study considers a grid-connected PV based charging station (PVBCS), where EVs are charged using solar energy during daylight hours and surplus energy is stored in the BESS or sold back to the grid. During the nighttime, both the grid and BESS contribute to charging the EVs. Moreover, the study investigates the optimal allocation of power among all available sources throughout the day and also considers seasonal variability of PV output. Environmental benefits and 10,780 annualized charging sessions are also achieved in the study. The proposed study achieves optimized energy utilization of 64.1% from renewable energy resources (RERs), resulting in reduced COE to 0.086/kWh, addressing environmental concerns and optimizing EVs load.

KW - Charging Stations

KW - Energy Management

KW - EV Scheduling

KW - PVbased charging station (PVBCS)

KW - Renewable Energy Resources (RERs)

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DO - 10.1109/EEPS58791.2023.10256885

M3 - Conference contribution

AN - SCOPUS:85173799373

T3 - 2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023

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EP - 132

BT - 2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

He S, Zhao Y, Salman H, Jia Y. Integrated Energy Management for Electric Vehicle Fleets with Detailed Evaluation of Solar Charging Station. In 2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 127-132. (2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023). doi: 10.1109/EEPS58791.2023.10256885

Integrated Energy Management for Electric Vehicle Fleets with Detailed Evaluation of Solar Charging Station

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this