An Economic Optimization Method of Ancillary Service for VPP Consist of Multi-Microgrids

Bin Wang; Kaiyuan Hou; Deming Xia; Yu Chen; Zhen Li; Samson S. Yu; Bin Liu; Xi Chen

doi:10.1109/PESGM52003.2023.10252748

An Economic Optimization Method of Ancillary Service for VPP Consist of Multi-Microgrids

Bin Wang^*, Kaiyuan Hou, Deming Xia, Yu Chen, Zhen Li, Samson S. Yu, Bin Liu, Xi Chen

^*Corresponding author for this work

Office of International Students

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

Abstract

Considering the uncertainty of solar panel electricity generation, this study establish an optimal scheduling model for VPP containing multiple microgrids (MMGs), and propose a real-time optimal scheduling method applicable to this scenario, which considering to set partial microgrid as backup. The optimal scheduling model contains two parts, the day-ahead scheduling and real-time scheduling. The day-ahead scheduling aims at maximizing the VPP profit, and the optimal baseline and regulation capacity of VPP for each hour of the next day will be calculated. The goal of real-time optimization is to make the electricity consumption of VPP follow the dynamic regulation signal (RegD signal) at the lowest cost. Through the real-time scheduling, the optimal operation state of each microgrid and various resources will be obtained. The simulation results prove that this real-time optimal scheduling scheme can enable VPP to gain more revenue without affecting the frequency support that VPP helps the grid achieve.

Original language	English
Title of host publication	2023 IEEE Power and Energy Society General Meeting, PESGM 2023
Publisher	IEEE Computer Society
ISBN (Electronic)	9781665464413
DOIs	https://doi.org/10.1109/PESGM52003.2023.10252748
Publication status	Published - 2023
Event	2023 IEEE Power and Energy Society General Meeting, PESGM 2023 - Orlando, United States Duration: 16 Jul 2023 → 20 Jul 2023

Publication series

Name	IEEE Power and Energy Society General Meeting
Volume	2023-July
ISSN (Print)	1944-9925
ISSN (Electronic)	1944-9933

Conference

Conference	2023 IEEE Power and Energy Society General Meeting, PESGM 2023
Country/Territory	United States
City	Orlando
Period	16/07/23 → 20/07/23

Keywords

Virtual power plant (VPP)
ancillary service
demand-side response (DR)
multiple microgrids (MMGs)
renewable energy

UN SDGs

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

Access to Document

10.1109/PESGM52003.2023.10252748

Cite this

Wang, B., Hou, K., Xia, D., Chen, Y., Li, Z., Yu, S. S., Liu, B., & Chen, X. (2023). An Economic Optimization Method of Ancillary Service for VPP Consist of Multi-Microgrids. In 2023 IEEE Power and Energy Society General Meeting, PESGM 2023 (IEEE Power and Energy Society General Meeting; Vol. 2023-July). IEEE Computer Society. https://doi.org/10.1109/PESGM52003.2023.10252748

@inproceedings{752ea3e5bd2043dfbed786f624f9fad3,

title = "An Economic Optimization Method of Ancillary Service for VPP Consist of Multi-Microgrids",

abstract = "Considering the uncertainty of solar panel electricity generation, this study establish an optimal scheduling model for VPP containing multiple microgrids (MMGs), and propose a real-time optimal scheduling method applicable to this scenario, which considering to set partial microgrid as backup. The optimal scheduling model contains two parts, the day-ahead scheduling and real-time scheduling. The day-ahead scheduling aims at maximizing the VPP profit, and the optimal baseline and regulation capacity of VPP for each hour of the next day will be calculated. The goal of real-time optimization is to make the electricity consumption of VPP follow the dynamic regulation signal (RegD signal) at the lowest cost. Through the real-time scheduling, the optimal operation state of each microgrid and various resources will be obtained. The simulation results prove that this real-time optimal scheduling scheme can enable VPP to gain more revenue without affecting the frequency support that VPP helps the grid achieve.",

keywords = "Virtual power plant (VPP), ancillary service, demand-side response (DR), multiple microgrids (MMGs), renewable energy",

author = "Bin Wang and Kaiyuan Hou and Deming Xia and Yu Chen and Zhen Li and Yu, {Samson S.} and Bin Liu and Xi Chen",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Power and Energy Society General Meeting, PESGM 2023 ; Conference date: 16-07-2023 Through 20-07-2023",

year = "2023",

doi = "10.1109/PESGM52003.2023.10252748",

language = "English",

series = "IEEE Power and Energy Society General Meeting",

publisher = "IEEE Computer Society",

booktitle = "2023 IEEE Power and Energy Society General Meeting, PESGM 2023",

address = "United States",

}

Wang, B, Hou, K, Xia, D, Chen, Y, Li, Z, Yu, SS, Liu, B & Chen, X 2023, An Economic Optimization Method of Ancillary Service for VPP Consist of Multi-Microgrids. in 2023 IEEE Power and Energy Society General Meeting, PESGM 2023. IEEE Power and Energy Society General Meeting, vol. 2023-July, IEEE Computer Society, 2023 IEEE Power and Energy Society General Meeting, PESGM 2023, Orlando, United States, 16/07/23. https://doi.org/10.1109/PESGM52003.2023.10252748

An Economic Optimization Method of Ancillary Service for VPP Consist of Multi-Microgrids. / Wang, Bin; Hou, Kaiyuan; Xia, Deming et al.
2023 IEEE Power and Energy Society General Meeting, PESGM 2023. IEEE Computer Society, 2023. (IEEE Power and Energy Society General Meeting; Vol. 2023-July).

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

TY - GEN

T1 - An Economic Optimization Method of Ancillary Service for VPP Consist of Multi-Microgrids

AU - Wang, Bin

AU - Hou, Kaiyuan

AU - Xia, Deming

AU - Chen, Yu

AU - Li, Zhen

AU - Yu, Samson S.

AU - Liu, Bin

AU - Chen, Xi

PY - 2023

Y1 - 2023

N2 - Considering the uncertainty of solar panel electricity generation, this study establish an optimal scheduling model for VPP containing multiple microgrids (MMGs), and propose a real-time optimal scheduling method applicable to this scenario, which considering to set partial microgrid as backup. The optimal scheduling model contains two parts, the day-ahead scheduling and real-time scheduling. The day-ahead scheduling aims at maximizing the VPP profit, and the optimal baseline and regulation capacity of VPP for each hour of the next day will be calculated. The goal of real-time optimization is to make the electricity consumption of VPP follow the dynamic regulation signal (RegD signal) at the lowest cost. Through the real-time scheduling, the optimal operation state of each microgrid and various resources will be obtained. The simulation results prove that this real-time optimal scheduling scheme can enable VPP to gain more revenue without affecting the frequency support that VPP helps the grid achieve.

AB - Considering the uncertainty of solar panel electricity generation, this study establish an optimal scheduling model for VPP containing multiple microgrids (MMGs), and propose a real-time optimal scheduling method applicable to this scenario, which considering to set partial microgrid as backup. The optimal scheduling model contains two parts, the day-ahead scheduling and real-time scheduling. The day-ahead scheduling aims at maximizing the VPP profit, and the optimal baseline and regulation capacity of VPP for each hour of the next day will be calculated. The goal of real-time optimization is to make the electricity consumption of VPP follow the dynamic regulation signal (RegD signal) at the lowest cost. Through the real-time scheduling, the optimal operation state of each microgrid and various resources will be obtained. The simulation results prove that this real-time optimal scheduling scheme can enable VPP to gain more revenue without affecting the frequency support that VPP helps the grid achieve.

KW - Virtual power plant (VPP)

KW - ancillary service

KW - demand-side response (DR)

KW - multiple microgrids (MMGs)

KW - renewable energy

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U2 - 10.1109/PESGM52003.2023.10252748

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M3 - Conference contribution

AN - SCOPUS:85174747627

T3 - IEEE Power and Energy Society General Meeting

BT - 2023 IEEE Power and Energy Society General Meeting, PESGM 2023

PB - IEEE Computer Society

T2 - 2023 IEEE Power and Energy Society General Meeting, PESGM 2023

Y2 - 16 July 2023 through 20 July 2023

ER -

An Economic Optimization Method of Ancillary Service for VPP Consist of Multi-Microgrids

Abstract

Publication series

Conference

Keywords

UN SDGs

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