A Parallel Decentralized Solution for Multi-Regional Unit Commitment with Convex AC Power Flow Constraints

Zitong Wang; Gengfeng Li; Yao Xiao; Shunyu Tang; Mengjie Teng

doi:10.1109/ACPEE53904.2022.9783909

A Parallel Decentralized Solution for Multi-Regional Unit Commitment with Convex AC Power Flow Constraints

Zitong Wang
, Gengfeng Li
, Yao Xiao
, Shunyu Tang
, Mengjie Teng

School of Electrical Engineering

Xi'an Jiaotong University

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

2 Scopus citations

Abstract

Scheduling a multi-regional unit commitment is an efficient way to operate the power system economically. The conventional unit commitment models, which adopts the DC power flow, fail to take the network loss and voltage drop constraints into account. This paper proposes a novel AC power flow model to fill this gap. The proposed model first achieves convexity by decomposing the nonlinear part of the network loss into the voltage amplitude part and the phase angle part, and then is formulated into two sets of linear inequalities. After that, this paper integrates it into a multi-regional unit commitment. Considering the independence and parallelism of operation between regions, the established unit commitment is solved via a parallel decentralized solution, where the simplicial decomposition method (SDM), the nonlinear block Gauss-Seidel (GS) method, and the augmented Lagrangian method (ALM) (abbreviated as SDM-GS-ALM) are integrated. Finally, the efficiency and applicability of the multi-regional unit commitment with convex AC power flow constraints are verified on IEEE Test Systems.

Original language	English
Title of host publication	Proceedings - 2022 7th Asia Conference on Power and Electrical Engineering, ACPEE 2022
Editors	Tek-Tjing Lie, Youbo Liu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1364-1373
Number of pages	10
ISBN (Electronic)	9781665418195
DOIs	https://doi.org/10.1109/ACPEE53904.2022.9783909
State	Published - 2022
Event	7th Asia Conference on Power and Electrical Engineering, ACPEE 2022 - Virtual, Online, China Duration: 16 Apr 2022 → 17 Apr 2022

Publication series

Name	Proceedings - 2022 7th Asia Conference on Power and Electrical Engineering, ACPEE 2022

Conference

Conference	7th Asia Conference on Power and Electrical Engineering, ACPEE 2022
Country/Territory	China
City	Virtual, Online
Period	16/04/22 → 17/04/22

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

decentralized optimization
optimal power flow
parallel solution
unit commitment

Access to Document

10.1109/ACPEE53904.2022.9783909

Cite this

Wang, Z., Li, G., Xiao, Y., Tang, S., & Teng, M. (2022). A Parallel Decentralized Solution for Multi-Regional Unit Commitment with Convex AC Power Flow Constraints. In T.-T. Lie, & Y. Liu (Eds.), Proceedings - 2022 7th Asia Conference on Power and Electrical Engineering, ACPEE 2022 (pp. 1364-1373). (Proceedings - 2022 7th Asia Conference on Power and Electrical Engineering, ACPEE 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACPEE53904.2022.9783909

Wang, Zitong ; Li, Gengfeng ; Xiao, Yao et al. / A Parallel Decentralized Solution for Multi-Regional Unit Commitment with Convex AC Power Flow Constraints. Proceedings - 2022 7th Asia Conference on Power and Electrical Engineering, ACPEE 2022. editor / Tek-Tjing Lie ; Youbo Liu. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 1364-1373 (Proceedings - 2022 7th Asia Conference on Power and Electrical Engineering, ACPEE 2022).

@inproceedings{c9ae0e7b032147d6b2348b8d095e5e15,

title = "A Parallel Decentralized Solution for Multi-Regional Unit Commitment with Convex AC Power Flow Constraints",

abstract = "Scheduling a multi-regional unit commitment is an efficient way to operate the power system economically. The conventional unit commitment models, which adopts the DC power flow, fail to take the network loss and voltage drop constraints into account. This paper proposes a novel AC power flow model to fill this gap. The proposed model first achieves convexity by decomposing the nonlinear part of the network loss into the voltage amplitude part and the phase angle part, and then is formulated into two sets of linear inequalities. After that, this paper integrates it into a multi-regional unit commitment. Considering the independence and parallelism of operation between regions, the established unit commitment is solved via a parallel decentralized solution, where the simplicial decomposition method (SDM), the nonlinear block Gauss-Seidel (GS) method, and the augmented Lagrangian method (ALM) (abbreviated as SDM-GS-ALM) are integrated. Finally, the efficiency and applicability of the multi-regional unit commitment with convex AC power flow constraints are verified on IEEE Test Systems.",

keywords = "decentralized optimization, optimal power flow, parallel solution, unit commitment",

author = "Zitong Wang and Gengfeng Li and Yao Xiao and Shunyu Tang and Mengjie Teng",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 7th Asia Conference on Power and Electrical Engineering, ACPEE 2022 ; Conference date: 16-04-2022 Through 17-04-2022",

year = "2022",

doi = "10.1109/ACPEE53904.2022.9783909",

language = "英语",

series = "Proceedings - 2022 7th Asia Conference on Power and Electrical Engineering, ACPEE 2022",

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Wang, Z, Li, G, Xiao, Y, Tang, S & Teng, M 2022, A Parallel Decentralized Solution for Multi-Regional Unit Commitment with Convex AC Power Flow Constraints. in T-T Lie & Y Liu (eds), Proceedings - 2022 7th Asia Conference on Power and Electrical Engineering, ACPEE 2022. Proceedings - 2022 7th Asia Conference on Power and Electrical Engineering, ACPEE 2022, Institute of Electrical and Electronics Engineers Inc., pp. 1364-1373, 7th Asia Conference on Power and Electrical Engineering, ACPEE 2022, Virtual, Online, China, 16/04/22. https://doi.org/10.1109/ACPEE53904.2022.9783909

A Parallel Decentralized Solution for Multi-Regional Unit Commitment with Convex AC Power Flow Constraints. / Wang, Zitong; Li, Gengfeng; Xiao, Yao et al.
Proceedings - 2022 7th Asia Conference on Power and Electrical Engineering, ACPEE 2022. ed. / Tek-Tjing Lie; Youbo Liu. Institute of Electrical and Electronics Engineers Inc., 2022. p. 1364-1373 (Proceedings - 2022 7th Asia Conference on Power and Electrical Engineering, ACPEE 2022).

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

TY - GEN

T1 - A Parallel Decentralized Solution for Multi-Regional Unit Commitment with Convex AC Power Flow Constraints

AU - Wang, Zitong

AU - Li, Gengfeng

AU - Xiao, Yao

AU - Tang, Shunyu

AU - Teng, Mengjie

PY - 2022

Y1 - 2022

N2 - Scheduling a multi-regional unit commitment is an efficient way to operate the power system economically. The conventional unit commitment models, which adopts the DC power flow, fail to take the network loss and voltage drop constraints into account. This paper proposes a novel AC power flow model to fill this gap. The proposed model first achieves convexity by decomposing the nonlinear part of the network loss into the voltage amplitude part and the phase angle part, and then is formulated into two sets of linear inequalities. After that, this paper integrates it into a multi-regional unit commitment. Considering the independence and parallelism of operation between regions, the established unit commitment is solved via a parallel decentralized solution, where the simplicial decomposition method (SDM), the nonlinear block Gauss-Seidel (GS) method, and the augmented Lagrangian method (ALM) (abbreviated as SDM-GS-ALM) are integrated. Finally, the efficiency and applicability of the multi-regional unit commitment with convex AC power flow constraints are verified on IEEE Test Systems.

AB - Scheduling a multi-regional unit commitment is an efficient way to operate the power system economically. The conventional unit commitment models, which adopts the DC power flow, fail to take the network loss and voltage drop constraints into account. This paper proposes a novel AC power flow model to fill this gap. The proposed model first achieves convexity by decomposing the nonlinear part of the network loss into the voltage amplitude part and the phase angle part, and then is formulated into two sets of linear inequalities. After that, this paper integrates it into a multi-regional unit commitment. Considering the independence and parallelism of operation between regions, the established unit commitment is solved via a parallel decentralized solution, where the simplicial decomposition method (SDM), the nonlinear block Gauss-Seidel (GS) method, and the augmented Lagrangian method (ALM) (abbreviated as SDM-GS-ALM) are integrated. Finally, the efficiency and applicability of the multi-regional unit commitment with convex AC power flow constraints are verified on IEEE Test Systems.

KW - decentralized optimization

KW - optimal power flow

KW - parallel solution

KW - unit commitment

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BT - Proceedings - 2022 7th Asia Conference on Power and Electrical Engineering, ACPEE 2022

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A2 - Liu, Youbo

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th Asia Conference on Power and Electrical Engineering, ACPEE 2022

Y2 - 16 April 2022 through 17 April 2022

ER -

Wang Z, Li G, Xiao Y, Tang S, Teng M. A Parallel Decentralized Solution for Multi-Regional Unit Commitment with Convex AC Power Flow Constraints. In Lie TT, Liu Y, editors, Proceedings - 2022 7th Asia Conference on Power and Electrical Engineering, ACPEE 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 1364-1373. (Proceedings - 2022 7th Asia Conference on Power and Electrical Engineering, ACPEE 2022). doi: 10.1109/ACPEE53904.2022.9783909

A Parallel Decentralized Solution for Multi-Regional Unit Commitment with Convex AC Power Flow Constraints

Abstract

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UN SDGs

Keywords

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