Configure-and-Bound: A fast heuristic for network topology reconfiguration

Congestion management is a key challenge in power systems, and topology reconfiguration offers a promising solution. This paper introduces the Configure-and-Bound (C&B) algorithm to efficiently solve network topology reconfiguration (NTR) problems, focusing on substation switching and busbar splitting. By exploiting the locality effects of switching maneuvers, the C&B algorithm significantly reduces the computational time required to solve the NP-hard NTR problems, while achieving most of the cost savings achieved by exact methods. We explore the conditions under which the proposed C&B algorithm is most effective by classifying congestion into two broad classes; near congestion and far congestion. The locality condition and the foundation of the proposed algorithm generalize to a broader class of (power system) optimization problems. Case studies done on IEEE 39, 118, 240, 300, 500, 588, and 793 bus systems demonstrate that the proposed algorithm can reduce the computational runtime by up to 99% and achieve up to 99.9% similar costs relative to the global optimal solution.

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Publication Details

Journal
International Journal of Electrical Power & Energy Systems
Published
2026-01-01
DOI
https://doi.org/10.1016/j.ijepes.2025.111517
Primary Topic
Optimal Power Flow Distribution
Type
article
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article

Configure-and-Bound: A fast heuristic for network topology reconfiguration

Basel Morsy, Adolfo Anta, Jochen Cremer, Jochen Stiasny
International Journal of Electrical Power & Energy Systems
Optimal Power Flow Distribution
article

Configure-and-Bound: A fast heuristic for network topology reconfiguration

Basel Morsy, Adolfo Anta, Jochen Cremer, Jochen Stiasny
article en

Abstract

Congestion management is a key challenge in power systems, and topology reconfiguration offers a promising solution. This paper introduces the Configure-and-Bound (C&B) algorithm to efficiently solve network topology reconfiguration (NTR) problems, focusing on substation switching and busbar splitting. By exploiting the locality effects of switching maneuvers, the C&B algorithm significantly reduces the computational time required to solve the NP-hard NTR problems, while achieving most of the cost savings achieved by exact methods. We explore the conditions under which the proposed C&B algorithm is most effective by classifying congestion into two broad classes; near congestion and far congestion. The locality condition and the foundation of the proposed algorithm generalize to a broader class of (power system) optimization problems. Case studies done on IEEE 39, 118, 240, 300, 500, 588, and 793 bus systems demonstrate that the proposed algorithm can reduce the computational runtime by up to 99% and achieve up to 99.9% similar costs relative to the global optimal solution.

International Journal of Electrical Power & Energy SystemsVol. 174
Industry, innovation and infrastructure
Openalex Percentile: Top 96%
Optimal Power Flow Distribution
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Configure-and-Bound: A fast heuristic for network topology reconfiguration — Basel Morsy, Adolfo Anta, et al. · International Journal of Electrical Power & Energy Systems (2026) | TGRS Research Map | TGRS