Decomposition Algorithm for Security-Constrained Unit Commitment with AC Optimal Power Flows

This paper presents a comprehensive approach to solving the security-constrained unit commitment with alternating current power flows (SCUC-ACPF) problem in contemporary power systems. We introduce algorithms that decompose the problem into subproblems suitable for specialized solvers, so that the large-scale mixed-integer nonlinear program-ming SCUC-ACPF problem can be solved. In case studies, we validate the efficiency and effectiveness of our algorithms on synthetic and industry-scale power system networks.

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Publication Details

Published
2025-02-10
DOI
https://doi.org/10.1109/tpec63981.2025.10906797
Citations
2
Primary Topic
Power Systems and Technologies
Type
article
Field-Weighted Citation Impact
1.46

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article

Decomposition Algorithm for Security-Constrained Unit Commitment with AC Optimal Power Flows

Lei Fan, Yongpei Guan, Mingze Li, Weihang Renl
2 citations
Power Systems and Technologies
1.46
article

Decomposition Algorithm for Security-Constrained Unit Commitment with AC Optimal Power Flows

Lei Fan, Yongpei Guan, Mingze Li, Weihang Renl
article en
2 citations

Abstract

This paper presents a comprehensive approach to solving the security-constrained unit commitment with alternating current power flows (SCUC-ACPF) problem in contemporary power systems. We introduce algorithms that decompose the problem into subproblems suitable for specialized solvers, so that the large-scale mixed-integer nonlinear program-ming SCUC-ACPF problem can be solved. In case studies, we validate the efficiency and effectiveness of our algorithms on synthetic and industry-scale power system networks.

University of Florida (US), University of Houston (US)
U.S. Department of Energy
Climate action
Openalex Percentile: Top 19%
Power Systems and Technologies
1.46
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