An Accelerated-Decomposition Approach for Security-Constrained Unit Commitment with Corrective Network Reconfiguration- Part II: Results and Discussion
Arun Venkatesh Ramesh, Xingpeng Li, and Kory W. Hedman

TL;DR
This paper introduces accelerated decomposition methods for security-constrained unit commitment with corrective network reconfiguration, significantly improving computational speed and scalability while maintaining solution quality in large power systems.
Contribution
It proposes novel accelerated-decomposition approaches that enhance scalability and efficiency in solving SCUC and SCUC-CNR problems compared to traditional methods.
Findings
Methods are substantially faster on IEEE 24-bus system.
Approaches scale effectively to larger systems like IEEE 73-bus and Polish system.
Solutions maintain quality with reduced computational effort.
Abstract
This paper presents a novel approach to handle the computational complexity in security-constrained unit commitment (SCUC) with corrective network reconfiguration (CNR) to harness the flexibility in transmission networks. This is achieved with consideration of scalability through decomposing the SCUC/SCUC-CNR formulation and then fast screening non-critical sub-problems. This is compared against the extensive formulations of SCUC and SCUC-CNR to show the advantages of the proposed typical-decomposition and accelerated-decomposition approaches to SCUC and SCUC-CNR respectively. Simulation results on the IEEE 24-bus system show that the proposed methods are substantially faster without the loss in solution quality. The proposed accelerated-decomposition approaches can be implemented for large power systems as they have great performance in the scalability tests on the IEEE 73-bus system…
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Taxonomy
TopicsElectric Power System Optimization · Smart Grid Energy Management · Optimal Power Flow Distribution
