Day-ahead Unit Commitment Incorperating Deep Peak Regulation

Yang Xiao; Tao Ding; Yuzheng Liu; Biyuan Zhang; Bo Su; Xiaorui Guo

doi:10.1109/EEPS58791.2023.10256859

Day-ahead Unit Commitment Incorperating Deep Peak Regulation

Yang Xiao
, Tao Ding
, Yuzheng Liu
, Biyuan Zhang
, Bo Su
, Xiaorui Guo

School of Electrical Engineering

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

Abstract

To give the potential regulation capacity of the thermal power generator for renewable energy integration by peak regulation, this paper has investigated in developing a comprehensive model for day-ahead unit commitment, taking into account deep peak regulation. Specifically, the investigation entails dividing the peak regulation into distinct modes and establishing corresponding operational cost functions. Subsequently, a mixed-integer linear programming model is presented for power scheduling, leveraging the defined cost function. To validate the effectiveness of the proposed model and highlight the superiority of deep peak regulation in accommodating renewable energy sources, 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	549-553
Number of pages	5
ISBN (Electronic)	9798350313857
DOIs	https://doi.org/10.1109/EEPS58791.2023.10256859
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

deep peak regulation
renewable energy sources
unit commitment

UN SDGs

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

Access to Document

10.1109/EEPS58791.2023.10256859

Cite this

Xiao, Y., Ding, T., Liu, Y., Zhang, B., Su, B., & Guo, X. (2023). Day-ahead Unit Commitment Incorperating Deep Peak Regulation. In 2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023 (pp. 549-553). (2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EEPS58791.2023.10256859

@inproceedings{d6e30175a96646e3aeaea732dd415e6a,

title = "Day-ahead Unit Commitment Incorperating Deep Peak Regulation",

abstract = "To give the potential regulation capacity of the thermal power generator for renewable energy integration by peak regulation, this paper has investigated in developing a comprehensive model for day-ahead unit commitment, taking into account deep peak regulation. Specifically, the investigation entails dividing the peak regulation into distinct modes and establishing corresponding operational cost functions. Subsequently, a mixed-integer linear programming model is presented for power scheduling, leveraging the defined cost function. To validate the effectiveness of the proposed model and highlight the superiority of deep peak regulation in accommodating renewable energy sources, a modified IEEE-118 case has been conducted.",

keywords = "deep peak regulation, renewable energy sources, unit commitment",

author = "Yang Xiao and Tao Ding and Yuzheng Liu and Biyuan Zhang and Bo Su and Xiaorui Guo",

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/EEPS58791.2023.10256859",

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 = "549--553",

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

}

Xiao, Y, Ding, T, Liu, Y, Zhang, B, Su, B & Guo, X 2023, Day-ahead Unit Commitment Incorperating Deep Peak Regulation. 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. 549-553, 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023, Dali, China, 28/07/23. https://doi.org/10.1109/EEPS58791.2023.10256859

Day-ahead Unit Commitment Incorperating Deep Peak Regulation. / Xiao, Yang; Ding, Tao; Liu, Yuzheng et al.
2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 549-553 (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 - Day-ahead Unit Commitment Incorperating Deep Peak Regulation

AU - Xiao, Yang

AU - Ding, Tao

AU - Liu, Yuzheng

AU - Zhang, Biyuan

AU - Su, Bo

AU - Guo, Xiaorui

PY - 2023

Y1 - 2023

N2 - To give the potential regulation capacity of the thermal power generator for renewable energy integration by peak regulation, this paper has investigated in developing a comprehensive model for day-ahead unit commitment, taking into account deep peak regulation. Specifically, the investigation entails dividing the peak regulation into distinct modes and establishing corresponding operational cost functions. Subsequently, a mixed-integer linear programming model is presented for power scheduling, leveraging the defined cost function. To validate the effectiveness of the proposed model and highlight the superiority of deep peak regulation in accommodating renewable energy sources, a modified IEEE-118 case has been conducted.

AB - To give the potential regulation capacity of the thermal power generator for renewable energy integration by peak regulation, this paper has investigated in developing a comprehensive model for day-ahead unit commitment, taking into account deep peak regulation. Specifically, the investigation entails dividing the peak regulation into distinct modes and establishing corresponding operational cost functions. Subsequently, a mixed-integer linear programming model is presented for power scheduling, leveraging the defined cost function. To validate the effectiveness of the proposed model and highlight the superiority of deep peak regulation in accommodating renewable energy sources, a modified IEEE-118 case has been conducted.

KW - deep peak regulation

KW - renewable energy sources

KW - unit commitment

UR - https://www.scopus.com/pages/publications/85173879059

U2 - 10.1109/EEPS58791.2023.10256859

DO - 10.1109/EEPS58791.2023.10256859

M3 - 会议稿件

AN - SCOPUS:85173879059

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

SP - 549

EP - 553

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 -

Xiao Y, Ding T, Liu Y, Zhang B, Su B, Guo X. Day-ahead Unit Commitment Incorperating Deep Peak Regulation. In 2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 549-553. (2023 3rd International Conference on Energy Engineering and Power Systems, EEPS 2023). doi: 10.1109/EEPS58791.2023.10256859

Day-ahead Unit Commitment Incorperating Deep Peak Regulation

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Keywords

UN SDGs

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