Power grid topology control

Power grids are facing major challenges from growing renewable integration and worsening climate impacts. While flexibility on both the demand and generation sides has been widely explored to address these challenges, network-side flexibility, especially in network topology, remains highly underutilized. Advances in communication, power electronics, and circuit breakers have made network topology increasingly controllable. However, leveraging this topological flexibility poses substantial challenges, primarily due to the inherent non-convexity and hybrid dynamics in associated optimization and control problems. This monograph surveys the development of power grid topology control in both early and recent years. It begins by discussing the fundamental topological constraints involved in topology control problems. Subsequently, it introduces steady-state topology control for transmission and distribution networks separately, covering fundamentals, a state-of-the-art review, and representative recent advances. Additionally, the network topology transition problem, which addresses the implementation of optimal topology solutions and has garnered increasing attention in recent years, is further modeled and analyzed. Beyond utilizing the flexibility of steady-state network topology, controlling network topology during transients can also contribute to system stabilization. Traditional approaches, such as intentional controlled islanding for transmission networks, as well as recently developed topology control methods for microgrid stabilization, exemplify this concept. Finally, a summary of this monograph is provided.

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Publication Details

Journal
Foundations and Trends® in Electric Energy Systems
Published
2026-11-03
DOI
https://doi.org/10.1108/ftees-03-2026-0047
Primary Topic
Power System Optimization and Stability
Type
article
Field-Weighted Citation Impact
0.00
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article

Power grid topology control

David John Hill, Yan Xu, Tong Han
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Foundations and Trends® in Electric Energy Systems
Power System Optimization and Stability
article

Power grid topology control

David John Hill, Yan Xu, Tong Han
article en

Abstract

Power grids are facing major challenges from growing renewable integration and worsening climate impacts. While flexibility on both the demand and generation sides has been widely explored to address these challenges, network-side flexibility, especially in network topology, remains highly underutilized. Advances in communication, power electronics, and circuit breakers have made network topology increasingly controllable. However, leveraging this topological flexibility poses substantial challenges, primarily due to the inherent non-convexity and hybrid dynamics in associated optimization and control problems. This monograph surveys the development of power grid topology control in both early and recent years. It begins by discussing the fundamental topological constraints involved in topology control problems. Subsequently, it introduces steady-state topology control for transmission and distribution networks separately, covering fundamentals, a state-of-the-art review, and representative recent advances. Additionally, the network topology transition problem, which addresses the implementation of optimal topology solutions and has garnered increasing attention in recent years, is further modeled and analyzed. Beyond utilizing the flexibility of steady-state network topology, controlling network topology during transients can also contribute to system stabilization. Traditional approaches, such as intentional controlled islanding for transmission networks, as well as recently developed topology control methods for microgrid stabilization, exemplify this concept. Finally, a summary of this monograph is provided.

Foundations and Trends® in Electric Energy SystemsVol. 10(5)
The University of Sydney (AU), Nanyang Technological University (SG), Centre for Power Engineering (SG), Monash University (AU)
Affordable and clean energy, Industry, innovation and infrastructure
Openalex Percentile: Top 72%
Power System Optimization and Stability
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Power grid topology control — David John Hill, Yan Xu, et al. · Foundations and Trends® in Electric Energy Systems (2026) | TGRS Research Map | TGRS