Security Constrained Unit Commitment with Corrective Transmission Switching
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Abstract (arXiv)
Traditionally, power system operations use a static network to deliver power and meet demand optimally. Network topology reconfiguration through transmission switching (TS) has gained significant interest recently to reduce the operational cost of power system operations. However, implementation of TS also causes large disturbance in the network and as a result the use of corrective transmission switching (CTS) in response to power system contingencies is currently being researched extensively. This paper emphasizes the importance of CTS to accomplish flexible transmission in N-1 security-constrained unit commitment (SCUC) model. An N-1 SCUC mathematical model implementing a dynamic network in the post-contingency scenario is proposed as opposed to current industry practices of static network in short-term operations. The proposed model is tested and validated on the IEEE 24-bus system. The proposed model results in cost-effective implementation and leads to overall reduced cost, and congestion reduction in the post-contingency scenario.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Jan 2020.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 1; 2024: 1; 2025: 0; 2026: 1.
5 papers.
- 2022Feasibility Layer Aided Machine Learning Approach for Day-Ahead Operationscited by 6
- 2023Spatio-Temporal Deep Learning-Assisted Reduced Security-Constrained Unit Commitmentcited by 6
- 2021Machine Learning Assisted Approach for Security-Constrained Unit Commitmentcited by 5
- 2024Graph Neural Network-Accelerated Network-Reconfigured Optimal Power Flowcited by 1
- 2026Power Systems Agent Benchmark: Executable Evaluation of AI Agents in Electric Power Engineeringcited by 0
- 2026Power Systems Agent Benchmark: Executable Evaluation of AI Agents in Electric Power Engineering18 Jun 2026
- 2024Graph Neural Network-Accelerated Network-Reconfigured Optimal Power Flow22 Oct 2024
- 2023Spatio-Temporal Deep Learning-Assisted Reduced Security-Constrained Unit Commitment2 Jun 2023
- 2022Feasibility Layer Aided Machine Learning Approach for Day-Ahead Operations13 Aug 2022
- 2021Machine Learning Assisted Approach for Security-Constrained Unit Commitment17 Nov 2021