Redundant Transmission Constraints Identification and Elimination for Transmission-constrained Unit Commitment Problem

Wei Xiong; Haiyu Huang; Baofeng Jiang; Tao Ding; Yang Xiao; Xiaosheng Zhang

doi:10.1109/EEPS58791.2023.10256835

Redundant Transmission Constraints Identification and Elimination for Transmission-constrained Unit Commitment Problem

Wei Xiong
, Haiyu Huang
, Baofeng Jiang
, Tao Ding
, Yang Xiao
, Xiaosheng Zhang

School of Electrical Engineering

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

1 Scopus citations

Abstract

With the integration of renewable energy, the power system faces new challenges such as increasing uncertainty and changing system operation mode. It is necessary to improve the computational efficiency of the unit commitment in the power system for real application. A transmission-constrained unit commitment model is proposed in this paper and the identification and elimination approach of the non-risky redundant transmission constraints is used to reduce the model scale of the transmission-constrained unit commitment problem. To validate the effectiveness and practicability of the identification and eliminating approach, a modified IEEE-118 case has been conducted.

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	276-280
Number of pages	5
ISBN (Electronic)	9798350313857
DOIs	https://doi.org/10.1109/EEPS58791.2023.10256835
State	Published - 2023
Event	3rd International Conference on Energy Engineering and Power Systems, EEPS 2023 - Dali, China Duration: 28 Jul 2023 → 30 Jul 2023

Publication series

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

Conference

Conference	3rd International Conference on Energy Engineering and Power Systems, EEPS 2023
Country/Territory	China
City	Dali
Period	28/07/23 → 30/07/23

Keywords

redundant identification and elimination
renewable energy sources
transmission-constrained unit commitment

UN SDGs

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

Access to Document

10.1109/EEPS58791.2023.10256835

Cite this

Xiong, W., Huang, H., Jiang, B., Ding, T., Xiao, Y., & Zhang, X. (2023). Redundant Transmission Constraints Identification and Elimination for Transmission-constrained Unit Commitment Problem. In 2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023 (pp. 276-280). (2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EEPS58791.2023.10256835

Xiong, Wei ; Huang, Haiyu ; Jiang, Baofeng et al. / Redundant Transmission Constraints Identification and Elimination for Transmission-constrained Unit Commitment Problem. 2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 276-280 (2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023).

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title = "Redundant Transmission Constraints Identification and Elimination for Transmission-constrained Unit Commitment Problem",

abstract = "With the integration of renewable energy, the power system faces new challenges such as increasing uncertainty and changing system operation mode. It is necessary to improve the computational efficiency of the unit commitment in the power system for real application. A transmission-constrained unit commitment model is proposed in this paper and the identification and elimination approach of the non-risky redundant transmission constraints is used to reduce the model scale of the transmission-constrained unit commitment problem. To validate the effectiveness and practicability of the identification and eliminating approach, a modified IEEE-118 case has been conducted.",

keywords = "redundant identification and elimination, renewable energy sources, transmission-constrained unit commitment",

author = "Wei Xiong and Haiyu Huang and Baofeng Jiang and Tao Ding and Yang Xiao and Xiaosheng Zhang",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023 ; Conference date: 28-07-2023 Through 30-07-2023",

year = "2023",

doi = "10.1109/EEPS58791.2023.10256835",

language = "英语",

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

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

pages = "276--280",

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

}

Xiong, W, Huang, H, Jiang, B, Ding, T, Xiao, Y & Zhang, X 2023, Redundant Transmission Constraints Identification and Elimination for Transmission-constrained Unit Commitment Problem. 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. 276-280, 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023, Dali, China, 28/07/23. https://doi.org/10.1109/EEPS58791.2023.10256835

Redundant Transmission Constraints Identification and Elimination for Transmission-constrained Unit Commitment Problem. / Xiong, Wei; Huang, Haiyu; Jiang, Baofeng et al.
2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 276-280 (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 - Redundant Transmission Constraints Identification and Elimination for Transmission-constrained Unit Commitment Problem

AU - Xiong, Wei

AU - Huang, Haiyu

AU - Jiang, Baofeng

AU - Ding, Tao

AU - Xiao, Yang

AU - Zhang, Xiaosheng

PY - 2023

Y1 - 2023

N2 - With the integration of renewable energy, the power system faces new challenges such as increasing uncertainty and changing system operation mode. It is necessary to improve the computational efficiency of the unit commitment in the power system for real application. A transmission-constrained unit commitment model is proposed in this paper and the identification and elimination approach of the non-risky redundant transmission constraints is used to reduce the model scale of the transmission-constrained unit commitment problem. To validate the effectiveness and practicability of the identification and eliminating approach, a modified IEEE-118 case has been conducted.

AB - With the integration of renewable energy, the power system faces new challenges such as increasing uncertainty and changing system operation mode. It is necessary to improve the computational efficiency of the unit commitment in the power system for real application. A transmission-constrained unit commitment model is proposed in this paper and the identification and elimination approach of the non-risky redundant transmission constraints is used to reduce the model scale of the transmission-constrained unit commitment problem. To validate the effectiveness and practicability of the identification and eliminating approach, a modified IEEE-118 case has been conducted.

KW - redundant identification and elimination

KW - renewable energy sources

KW - transmission-constrained unit commitment

UR - https://www.scopus.com/pages/publications/85173816661

U2 - 10.1109/EEPS58791.2023.10256835

DO - 10.1109/EEPS58791.2023.10256835

M3 - 会议稿件

AN - SCOPUS:85173816661

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

SP - 276

EP - 280

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

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023

Y2 - 28 July 2023 through 30 July 2023

ER -

Xiong W, Huang H, Jiang B, Ding T, Xiao Y, Zhang X. Redundant Transmission Constraints Identification and Elimination for Transmission-constrained Unit Commitment Problem. In 2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 276-280. (2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023). doi: 10.1109/EEPS58791.2023.10256835

Redundant Transmission Constraints Identification and Elimination for Transmission-constrained Unit Commitment Problem

Abstract

Publication series

Conference

Keywords

UN SDGs

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