Generation Investment Equilibrium among Multiple GENCOs Using Modified PMP

Hui Guo; Yunpeng Xiao; Xiuli Wang; Likai Zhang; Wanru Li

doi:10.1109/PESGM52003.2023.10253178

Generation Investment Equilibrium among Multiple GENCOs Using Modified PMP

Hui Guo
, Yunpeng Xiao
, Xiuli Wang
, Likai Zhang
, Wanru Li

School of Electrical Engineering

Xi'an Jiaotong University

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

Abstract

This paper proposes a mathematical model for solving the generation expansion problem of multiple generation companies (GENCOs). This model is developed assuming a simultaneous-move game among GENCOs. Each GENCO maximizes his total profit of selling the electricity to the market minus the investment cost of new generation units with incomplete information on the opponents' decisions over general graphs. We assume one system operator (SO) who works as a single agent to complete the power flow and voltage angles calculation. To solve the proposed non-cooperative simultaneous game, a modified Proximal Message Passing (PMP) algorithm is implemented. The numerical results are carried on IEEE 5 bus and IEEE 24 bus test cases and the results show the effectiveness of the model and the solution algorithm.

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/PESGM52003.2023.10253178
State	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

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Modified PMP
Non-cooperative Simultaneous Game
Strategic Generation Expansion Planning

Access to Document

10.1109/PESGM52003.2023.10253178

Cite this

@inproceedings{31bd4ded8ada47eda51cd056f1cd29b6,

title = "Generation Investment Equilibrium among Multiple GENCOs Using Modified PMP",

abstract = "This paper proposes a mathematical model for solving the generation expansion problem of multiple generation companies (GENCOs). This model is developed assuming a simultaneous-move game among GENCOs. Each GENCO maximizes his total profit of selling the electricity to the market minus the investment cost of new generation units with incomplete information on the opponents' decisions over general graphs. We assume one system operator (SO) who works as a single agent to complete the power flow and voltage angles calculation. To solve the proposed non-cooperative simultaneous game, a modified Proximal Message Passing (PMP) algorithm is implemented. The numerical results are carried on IEEE 5 bus and IEEE 24 bus test cases and the results show the effectiveness of the model and the solution algorithm.",

keywords = "Modified PMP, Non-cooperative Simultaneous Game, Strategic Generation Expansion Planning",

author = "Hui Guo and Yunpeng Xiao and Xiuli Wang and Likai Zhang and Wanru Li",

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/PESGM52003.2023.10253178",

language = "英语",

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

publisher = "IEEE Computer Society",

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

}

Guo, H, Xiao, Y , Wang, X, Zhang, L & Li, W 2023, Generation Investment Equilibrium among Multiple GENCOs Using Modified PMP. 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/PESGM52003.2023.10253178

Generation Investment Equilibrium among Multiple GENCOs Using Modified PMP. / Guo, Hui; Xiao, Yunpeng ; Wang, Xiuli 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 - Generation Investment Equilibrium among Multiple GENCOs Using Modified PMP

AU - Guo, Hui

AU - Xiao, Yunpeng

AU - Wang, Xiuli

AU - Zhang, Likai

AU - Li, Wanru

PY - 2023

Y1 - 2023

N2 - This paper proposes a mathematical model for solving the generation expansion problem of multiple generation companies (GENCOs). This model is developed assuming a simultaneous-move game among GENCOs. Each GENCO maximizes his total profit of selling the electricity to the market minus the investment cost of new generation units with incomplete information on the opponents' decisions over general graphs. We assume one system operator (SO) who works as a single agent to complete the power flow and voltage angles calculation. To solve the proposed non-cooperative simultaneous game, a modified Proximal Message Passing (PMP) algorithm is implemented. The numerical results are carried on IEEE 5 bus and IEEE 24 bus test cases and the results show the effectiveness of the model and the solution algorithm.

AB - This paper proposes a mathematical model for solving the generation expansion problem of multiple generation companies (GENCOs). This model is developed assuming a simultaneous-move game among GENCOs. Each GENCO maximizes his total profit of selling the electricity to the market minus the investment cost of new generation units with incomplete information on the opponents' decisions over general graphs. We assume one system operator (SO) who works as a single agent to complete the power flow and voltage angles calculation. To solve the proposed non-cooperative simultaneous game, a modified Proximal Message Passing (PMP) algorithm is implemented. The numerical results are carried on IEEE 5 bus and IEEE 24 bus test cases and the results show the effectiveness of the model and the solution algorithm.

KW - Modified PMP

KW - Non-cooperative Simultaneous Game

KW - Strategic Generation Expansion Planning

UR - https://www.scopus.com/pages/publications/85174718927

U2 - 10.1109/PESGM52003.2023.10253178

DO - 10.1109/PESGM52003.2023.10253178

M3 - 会议稿件

AN - SCOPUS:85174718927

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 -

Generation Investment Equilibrium among Multiple GENCOs Using Modified PMP

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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