Security-Constrained Unit Commitment for Electricity Market: Modeling, Solution Methods, and Future Challenges

Yonghong Chen; Feng Pan; Feng Qui; Alinson Xavier; Tongxin Zheng; Muhammad Marwali; Bernard Knueven; Yongpei Guan; Peter Luh; Lei Wu; Bing Yan; Mikhail Bragin; Haiwang Zhong; Anthony Giacomoni; Ross Baldick; Boris Gisin; Qun Gu; Russ Philbrick; Fangxing Li

doi:10.1109/tpwrs.2022.3213001

Security-Constrained Unit Commitment for Electricity Market: Modeling, Solution Methods, and Future Challenges

Yonghong Chen, Feng Pan, Feng Qui, Alinson Xavier, Tongxin Zheng, Muhammad Marwali, Bernard Knueven, Yongpei Guan, Peter Luh, Lei Wu, Bing Yan, Mikhail Bragin, Haiwang Zhong, Anthony Giacomoni, Ross Baldick, Boris Gisin, Qun Gu, Russ Philbrick, Fangxing Li

Computational Science

Research output: Contribution to journal › Article › peer-review

42 Scopus Citations

Abstract

This paper summarizes the technical activities of the IEEE Task Force on Solving Large Scale Optimization Problems in Electricity Market and Power System Applications. This Task Force was established by the IEEE Technology and Innovation Subcommittee to first review the state-of-the-art of the security-constrained unit commitment (SCUC) business model, its mathematical formulation, and solution techniques in solving electricity market clearing problems. The Task Force then investigated the emerging challenges of future market clearing problems and presented efforts in building benchmark mathematical and business models.

Original language	American English
Pages (from-to)	4668-4681
Number of pages	14
Journal	IEEE Transactions on Power Systems
Volume	38
Issue number	5
DOIs	https://doi.org/10.1109/tpwrs.2022.3213001 https://doi.org/10.1109/TPWRS.2022.3213001
State	Published - 2023

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

NREL Publication Number

NREL/JA-2C00-84449

Keywords

Combined cycle
decomposition
distributed energy resource
electricity market
mixed-integer programming
network security analysis
relaxation
security-constrained unit commitment
storage
virtual transaction

Access to Document

Cite this

Chen, Y., Pan, F., Qui, F., Xavier, A., Zheng, T., Marwali, M., Knueven, B., Guan, Y., Luh, P., Wu, L., Yan, B., Bragin, M., Zhong, H., Giacomoni, A., Baldick, R., Gisin, B., Gu, Q., Philbrick, R., & Li, F. (2023). Security-Constrained Unit Commitment for Electricity Market: Modeling, Solution Methods, and Future Challenges. IEEE Transactions on Power Systems, 38(5), 4668-4681. https://doi.org/10.1109/tpwrs.2022.3213001, https://doi.org/10.1109/TPWRS.2022.3213001

@article{80f884539147475abeb0f8f57c3e0ef5,

title = "Security-Constrained Unit Commitment for Electricity Market: Modeling, Solution Methods, and Future Challenges",

abstract = "This paper summarizes the technical activities of the IEEE Task Force on Solving Large Scale Optimization Problems in Electricity Market and Power System Applications. This Task Force was established by the IEEE Technology and Innovation Subcommittee to first review the state-of-the-art of the security-constrained unit commitment (SCUC) business model, its mathematical formulation, and solution techniques in solving electricity market clearing problems. The Task Force then investigated the emerging challenges of future market clearing problems and presented efforts in building benchmark mathematical and business models.",

keywords = "Combined cycle, decomposition, distributed energy resource, electricity market, mixed-integer programming, network security analysis, relaxation, security-constrained unit commitment, storage, virtual transaction",

author = "Yonghong Chen and Feng Pan and Feng Qui and Alinson Xavier and Tongxin Zheng and Muhammad Marwali and Bernard Knueven and Yongpei Guan and Peter Luh and Lei Wu and Bing Yan and Mikhail Bragin and Haiwang Zhong and Anthony Giacomoni and Ross Baldick and Boris Gisin and Qun Gu and Russ Philbrick and Fangxing Li",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.",

year = "2023",

doi = "10.1109/tpwrs.2022.3213001",

language = "American English",

volume = "38",

pages = "4668--4681",

journal = "IEEE Transactions on Power Systems",

issn = "0885-8950",

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

number = "5",

}

Chen, Y, Pan, F, Qui, F, Xavier, A, Zheng, T, Marwali, M, Knueven, B, Guan, Y, Luh, P, Wu, L, Yan, B, Bragin, M, Zhong, H, Giacomoni, A, Baldick, R, Gisin, B, Gu, Q, Philbrick, R & Li, F 2023, 'Security-Constrained Unit Commitment for Electricity Market: Modeling, Solution Methods, and Future Challenges', IEEE Transactions on Power Systems, vol. 38, no. 5, pp. 4668-4681. https://doi.org/10.1109/tpwrs.2022.3213001, https://doi.org/10.1109/TPWRS.2022.3213001

TY - JOUR

T1 - Security-Constrained Unit Commitment for Electricity Market: Modeling, Solution Methods, and Future Challenges

AU - Chen, Yonghong

AU - Pan, Feng

AU - Qui, Feng

AU - Xavier, Alinson

AU - Zheng, Tongxin

AU - Marwali, Muhammad

AU - Knueven, Bernard

AU - Guan, Yongpei

AU - Luh, Peter

AU - Wu, Lei

AU - Yan, Bing

AU - Bragin, Mikhail

AU - Zhong, Haiwang

AU - Giacomoni, Anthony

AU - Baldick, Ross

AU - Gisin, Boris

AU - Gu, Qun

AU - Philbrick, Russ

AU - Li, Fangxing

PY - 2023

Y1 - 2023

N2 - This paper summarizes the technical activities of the IEEE Task Force on Solving Large Scale Optimization Problems in Electricity Market and Power System Applications. This Task Force was established by the IEEE Technology and Innovation Subcommittee to first review the state-of-the-art of the security-constrained unit commitment (SCUC) business model, its mathematical formulation, and solution techniques in solving electricity market clearing problems. The Task Force then investigated the emerging challenges of future market clearing problems and presented efforts in building benchmark mathematical and business models.

AB - This paper summarizes the technical activities of the IEEE Task Force on Solving Large Scale Optimization Problems in Electricity Market and Power System Applications. This Task Force was established by the IEEE Technology and Innovation Subcommittee to first review the state-of-the-art of the security-constrained unit commitment (SCUC) business model, its mathematical formulation, and solution techniques in solving electricity market clearing problems. The Task Force then investigated the emerging challenges of future market clearing problems and presented efforts in building benchmark mathematical and business models.

KW - Combined cycle

KW - decomposition

KW - distributed energy resource

KW - electricity market

KW - mixed-integer programming

KW - network security analysis

KW - relaxation

KW - security-constrained unit commitment

KW - storage

KW - virtual transaction

UR - http://www.scopus.com/inward/record.url?scp=85139827471&partnerID=8YFLogxK

U2 - 10.1109/tpwrs.2022.3213001

DO - 10.1109/tpwrs.2022.3213001

M3 - Article

AN - SCOPUS:85139827471

SN - 0885-8950

VL - 38

SP - 4668

EP - 4681

JO - IEEE Transactions on Power Systems

JF - IEEE Transactions on Power Systems

IS - 5

ER -

Security-Constrained Unit Commitment for Electricity Market: Modeling, Solution Methods, and Future Challenges

Abstract

Bibliographical note

NREL Publication Number

Keywords

Access to Document

Other files and links

Fingerprint

Cite this