Day-Ahead Scheduling for EV-Based Virtual Energy Routers in Radial Microgrids

Kuo Feng; Yuxin Liu; Zhiping Dong; Rundong Huang; Chunhua Liu

doi:10.1109/IECON51785.2023.10312560

Day-Ahead Scheduling for EV-Based Virtual Energy Routers in Radial Microgrids

Kuo Feng, Yuxin Liu, Zhiping Dong, Rundong Huang, Chunhua Liu^*

^*Corresponding author for this work

School of Energy and Environment

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

2 Citations (Scopus)

Abstract

Electric vehicles (EVs) can act as virtual energy routers (VERs) in the grid, giving them the flexibility to change the direction of energy flow. Therefore, a day-ahead scheduling for radial microgrids deploying EV-based VERs is proposed. In the day-ahead scheduling, the charging/discharging operation, state of charge (SOC), and available time of EV-based VERs are involved in the social utility maximization problem. With the laxity model of EV-based VERs and the forecasted reference demand, the supply and demand in the microgrid are optimized to minimize generation costs and maximize consumer utility in a whole day. Binary variables, which indicate the charging and discharging choices of the EV-based VERs, exist in the day-ahead scheduling. Therefore, mixed integer nonlinear programming (MINLP) is adopted to solve the optimization problem. The simulation cases are then provided to verify the effectiveness of the suggested day-ahead scheduling approach. © 2023 IEEE.

Original language	English
Title of host publication	IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society
Publisher	IEEE
ISBN (Electronic)	979-8-3503-3182-0
ISBN (Print)	979-8-3503-3183-7
DOIs	https://doi.org/10.1109/IECON51785.2023.10312560
Publication status	Published - 2023
Event	49th Annual Conference of the IEEE Industrial Electronics Society (IECON 2023) - Marina Bay Sands Expo and Convention Centre, Singapore Duration: 16 Oct 2023 → 19 Oct 2023 https://www.iecon2023.org/

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)
ISSN (Print)	1553-572X
ISSN (Electronic)	2577-1647

Conference

Conference	49th Annual Conference of the IEEE Industrial Electronics Society (IECON 2023)
Abbreviated title	IEEE IECON 2023
Place	Singapore
Period	16/10/23 → 19/10/23
Internet address	https://www.iecon2023.org/

Funding

This work was supported in part by a grant (Project No. ECF Project 56/2021) from Environment and Conservation Fund (ECF) and Woo Wheelock Green Fund (WWGF), Hong Kong SAR; in part by a grant (Project No. ITS/045/21) from the Innovation and Technology Commission, Hong Kong SAR; in part by RGC Collaborative Research Fund (Project No. C1052-21GF) from Research Grants Council, Hong Kong SAR; and in part by RGC Research Fellow Scheme (RGC Ref. No.: RFS2223-1S05) from Research Grants Council, Hong Kong SAR

Research Keywords

day-ahead scheduling
Electric vehicles (EVs)
mixed integer nonlinear programming (MINLP)
virtual energy routers (VERs)

RGC Funding Information

RGC-funded

Access Output

10.1109/IECON51785.2023.10312560

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Cite this

@inproceedings{67ee981094b6443aac166ad3f4704fef,

title = "Day-Ahead Scheduling for EV-Based Virtual Energy Routers in Radial Microgrids",

abstract = "Electric vehicles (EVs) can act as virtual energy routers (VERs) in the grid, giving them the flexibility to change the direction of energy flow. Therefore, a day-ahead scheduling for radial microgrids deploying EV-based VERs is proposed. In the day-ahead scheduling, the charging/discharging operation, state of charge (SOC), and available time of EV-based VERs are involved in the social utility maximization problem. With the laxity model of EV-based VERs and the forecasted reference demand, the supply and demand in the microgrid are optimized to minimize generation costs and maximize consumer utility in a whole day. Binary variables, which indicate the charging and discharging choices of the EV-based VERs, exist in the day-ahead scheduling. Therefore, mixed integer nonlinear programming (MINLP) is adopted to solve the optimization problem. The simulation cases are then provided to verify the effectiveness of the suggested day-ahead scheduling approach. {\textcopyright} 2023 IEEE.",

keywords = "day-ahead scheduling, Electric vehicles (EVs), mixed integer nonlinear programming (MINLP), virtual energy routers (VERs)",

author = "Kuo Feng and Yuxin Liu and Zhiping Dong and Rundong Huang and Chunhua Liu",

year = "2023",

doi = "10.1109/IECON51785.2023.10312560",

language = "English",

isbn = "979-8-3503-3183-7",

series = "IECON Proceedings (Industrial Electronics Conference)",

publisher = "IEEE",

booktitle = "IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society",

address = "United States",

note = "49th Annual Conference of the IEEE Industrial Electronics Society (IECON 2023), IEEE IECON 2023 ; Conference date: 16-10-2023 Through 19-10-2023",

url = "https://www.iecon2023.org/",

}

Feng, K , Liu, Y , Dong, Z , Huang, R & Liu, C 2023, Day-Ahead Scheduling for EV-Based Virtual Energy Routers in Radial Microgrids. in IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society. IECON Proceedings (Industrial Electronics Conference), IEEE, 49th Annual Conference of the IEEE Industrial Electronics Society (IECON 2023), Singapore, 16/10/23. https://doi.org/10.1109/IECON51785.2023.10312560

Day-Ahead Scheduling for EV-Based Virtual Energy Routers in Radial Microgrids. / Feng, Kuo ; Liu, Yuxin ; Dong, Zhiping et al.
IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2023. (IECON Proceedings (Industrial Electronics Conference)).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - Day-Ahead Scheduling for EV-Based Virtual Energy Routers in Radial Microgrids

AU - Feng, Kuo

AU - Liu, Yuxin

AU - Dong, Zhiping

AU - Huang, Rundong

AU - Liu, Chunhua

PY - 2023

Y1 - 2023

N2 - Electric vehicles (EVs) can act as virtual energy routers (VERs) in the grid, giving them the flexibility to change the direction of energy flow. Therefore, a day-ahead scheduling for radial microgrids deploying EV-based VERs is proposed. In the day-ahead scheduling, the charging/discharging operation, state of charge (SOC), and available time of EV-based VERs are involved in the social utility maximization problem. With the laxity model of EV-based VERs and the forecasted reference demand, the supply and demand in the microgrid are optimized to minimize generation costs and maximize consumer utility in a whole day. Binary variables, which indicate the charging and discharging choices of the EV-based VERs, exist in the day-ahead scheduling. Therefore, mixed integer nonlinear programming (MINLP) is adopted to solve the optimization problem. The simulation cases are then provided to verify the effectiveness of the suggested day-ahead scheduling approach. © 2023 IEEE.

AB - Electric vehicles (EVs) can act as virtual energy routers (VERs) in the grid, giving them the flexibility to change the direction of energy flow. Therefore, a day-ahead scheduling for radial microgrids deploying EV-based VERs is proposed. In the day-ahead scheduling, the charging/discharging operation, state of charge (SOC), and available time of EV-based VERs are involved in the social utility maximization problem. With the laxity model of EV-based VERs and the forecasted reference demand, the supply and demand in the microgrid are optimized to minimize generation costs and maximize consumer utility in a whole day. Binary variables, which indicate the charging and discharging choices of the EV-based VERs, exist in the day-ahead scheduling. Therefore, mixed integer nonlinear programming (MINLP) is adopted to solve the optimization problem. The simulation cases are then provided to verify the effectiveness of the suggested day-ahead scheduling approach. © 2023 IEEE.

KW - day-ahead scheduling

KW - Electric vehicles (EVs)

KW - mixed integer nonlinear programming (MINLP)

KW - virtual energy routers (VERs)

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U2 - 10.1109/IECON51785.2023.10312560

DO - 10.1109/IECON51785.2023.10312560

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 979-8-3503-3183-7

T3 - IECON Proceedings (Industrial Electronics Conference)

BT - IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society

PB - IEEE

T2 - 49th Annual Conference of the IEEE Industrial Electronics Society (IECON 2023)

Y2 - 16 October 2023 through 19 October 2023

ER -

Day-Ahead Scheduling for EV-Based Virtual Energy Routers in Radial Microgrids

Abstract

Publication series

Conference

Funding

Research Keywords

RGC Funding Information

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

RFS: Development of Advanced Electric Machines and Smart Power Drives for Electric Propulsion

ITF: Development of a New Integrated Energy Exchanger for Electric Vehicle Charging Station

ECF: Development of Intelligent Energy Storage Station Using Second-Life Electric Vehicle Batteries

Cite this

Day-Ahead Scheduling for EV-Based Virtual Energy Routers in Radial Microgrids

Abstract

Publication series

Conference

Funding

Research Keywords

RGC Funding Information

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Projects

RFS: Development of Advanced Electric Machines and Smart Power Drives for Electric Propulsion

ITF: Development of a New Integrated Energy Exchanger for Electric Vehicle Charging Station

ECF: Development of Intelligent Energy Storage Station Using Second-Life Electric Vehicle Batteries

Cite this