Temporal Decomposition Strategy for SCUC with Cascaded Hydro-Station Systems

Jun Wu; Wenwen He; Yongchao Sun; Xiong Wu; Mingkang He; Binrui Cao

doi:10.1109/EI259745.2023.10512549

Temporal Decomposition Strategy for SCUC with Cascaded Hydro-Station Systems

Jun Wu
, Wenwen He
, Yongchao Sun
, Xiong Wu
, Mingkang He
, Binrui Cao

School of Electrical Engineering

State Grid Corporation of China
Xi'an Jiaotong University

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

Abstract

Since many cascaded hydropower units are connected to the power system in some countries, the computational burden of security-constrained unit commitment (SCUC) with cascaded hydro-station system becomes larger. To reduce the solution time, this paper first proposes a SCUC model with cascaded hydro-station systems. A modified analytical target cascading (ATC) algorithm is proposed to solve the SCUC problem. The SCUC model is decomposed to several smaller subproblems according to the time division. To ensure a feasible solution, penalty terms are added to the objective function, and consistency constraints are used to interconnect different subproblems. Finally, case studies are conducted and results show that, the solution time of the parallel solution method is only 34.51% of that with the conventional centralized method for the IEEE 118-bus system. The proposed method can optimize SCUC problems with cascaded hydro-station systems much faster than the conventional centralized method with an acceptable confidence level.

Original language	English
Title of host publication	2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1833-1839
Number of pages	7
ISBN (Electronic)	9798350345094
DOIs	https://doi.org/10.1109/EI259745.2023.10512549
State	Published - 2023
Event	7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023 - Hangzhou, China Duration: 15 Dec 2023 → 18 Dec 2023

Publication series

Name	2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023

Conference

Conference	7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023
Country/Territory	China
City	Hangzhou
Period	15/12/23 → 18/12/23

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

ATC
SCUC
cascaded hydro-station system
temporal decomposition

Access to Document

10.1109/EI259745.2023.10512549

Cite this

Wu, J., He, W., Sun, Y., Wu, X., He, M., & Cao, B. (2023). Temporal Decomposition Strategy for SCUC with Cascaded Hydro-Station Systems. In 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023 (pp. 1833-1839). (2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EI259745.2023.10512549

Wu, Jun ; He, Wenwen ; Sun, Yongchao et al. / Temporal Decomposition Strategy for SCUC with Cascaded Hydro-Station Systems. 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 1833-1839 (2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023).

@inproceedings{c180858b6fc947b5969df357c8226e9f,

title = "Temporal Decomposition Strategy for SCUC with Cascaded Hydro-Station Systems",

abstract = "Since many cascaded hydropower units are connected to the power system in some countries, the computational burden of security-constrained unit commitment (SCUC) with cascaded hydro-station system becomes larger. To reduce the solution time, this paper first proposes a SCUC model with cascaded hydro-station systems. A modified analytical target cascading (ATC) algorithm is proposed to solve the SCUC problem. The SCUC model is decomposed to several smaller subproblems according to the time division. To ensure a feasible solution, penalty terms are added to the objective function, and consistency constraints are used to interconnect different subproblems. Finally, case studies are conducted and results show that, the solution time of the parallel solution method is only 34.51\% of that with the conventional centralized method for the IEEE 118-bus system. The proposed method can optimize SCUC problems with cascaded hydro-station systems much faster than the conventional centralized method with an acceptable confidence level.",

keywords = "ATC, SCUC, cascaded hydro-station system, temporal decomposition",

author = "Jun Wu and Wenwen He and Yongchao Sun and Xiong Wu and Mingkang He and Binrui Cao",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023 ; Conference date: 15-12-2023 Through 18-12-2023",

year = "2023",

doi = "10.1109/EI259745.2023.10512549",

language = "英语",

series = "2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023",

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

pages = "1833--1839",

booktitle = "2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023",

}

Wu, J, He, W, Sun, Y, Wu, X, He, M & Cao, B 2023, Temporal Decomposition Strategy for SCUC with Cascaded Hydro-Station Systems. in 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023. 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023, Institute of Electrical and Electronics Engineers Inc., pp. 1833-1839, 7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023, Hangzhou, China, 15/12/23. https://doi.org/10.1109/EI259745.2023.10512549

Temporal Decomposition Strategy for SCUC with Cascaded Hydro-Station Systems. / Wu, Jun; He, Wenwen; Sun, Yongchao et al.
2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 1833-1839 (2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023).

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

TY - GEN

T1 - Temporal Decomposition Strategy for SCUC with Cascaded Hydro-Station Systems

AU - Wu, Jun

AU - He, Wenwen

AU - Sun, Yongchao

AU - Wu, Xiong

AU - He, Mingkang

AU - Cao, Binrui

PY - 2023

Y1 - 2023

N2 - Since many cascaded hydropower units are connected to the power system in some countries, the computational burden of security-constrained unit commitment (SCUC) with cascaded hydro-station system becomes larger. To reduce the solution time, this paper first proposes a SCUC model with cascaded hydro-station systems. A modified analytical target cascading (ATC) algorithm is proposed to solve the SCUC problem. The SCUC model is decomposed to several smaller subproblems according to the time division. To ensure a feasible solution, penalty terms are added to the objective function, and consistency constraints are used to interconnect different subproblems. Finally, case studies are conducted and results show that, the solution time of the parallel solution method is only 34.51% of that with the conventional centralized method for the IEEE 118-bus system. The proposed method can optimize SCUC problems with cascaded hydro-station systems much faster than the conventional centralized method with an acceptable confidence level.

AB - Since many cascaded hydropower units are connected to the power system in some countries, the computational burden of security-constrained unit commitment (SCUC) with cascaded hydro-station system becomes larger. To reduce the solution time, this paper first proposes a SCUC model with cascaded hydro-station systems. A modified analytical target cascading (ATC) algorithm is proposed to solve the SCUC problem. The SCUC model is decomposed to several smaller subproblems according to the time division. To ensure a feasible solution, penalty terms are added to the objective function, and consistency constraints are used to interconnect different subproblems. Finally, case studies are conducted and results show that, the solution time of the parallel solution method is only 34.51% of that with the conventional centralized method for the IEEE 118-bus system. The proposed method can optimize SCUC problems with cascaded hydro-station systems much faster than the conventional centralized method with an acceptable confidence level.

KW - ATC

KW - SCUC

KW - cascaded hydro-station system

KW - temporal decomposition

UR - https://www.scopus.com/pages/publications/85194169245

U2 - 10.1109/EI259745.2023.10512549

DO - 10.1109/EI259745.2023.10512549

M3 - 会议稿件

AN - SCOPUS:85194169245

T3 - 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023

SP - 1833

EP - 1839

BT - 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th IEEE Conference on Energy Internet and Energy System Integration, EI2 2023

Y2 - 15 December 2023 through 18 December 2023

ER -

Wu J, He W, Sun Y, Wu X, He M, Cao B. Temporal Decomposition Strategy for SCUC with Cascaded Hydro-Station Systems. In 2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 1833-1839. (2023 IEEE 7th Conference on Energy Internet and Energy System Integration, EI2 2023). doi: 10.1109/EI259745.2023.10512549

Temporal Decomposition Strategy for SCUC with Cascaded Hydro-Station Systems

Abstract

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UN SDGs

Keywords

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