Optimal Topology Transition
Tong Han, David J. Hill, Yue Song

TL;DR
This paper introduces the concept of optimal topology transition (OTT) for power networks, aiming to find the best transition path between initial and desired topologies while optimizing performance and satisfying operational constraints.
Contribution
It formulates OTT as a mixed-integer program and develops a specialized algorithm, enabling simultaneous optimization of network topology and transition trajectory.
Findings
Proposed OTT effectively finds optimal transition trajectories.
Transition-embedded topology optimization improves network performance.
Numerical results show superiority over ad hoc transition methods.
Abstract
Network topology has significant impacts on operational performance of power systems. While extensive research efforts have been devoted to optimization of network topology for improving various system performances, the problem of how to transition from the initial topology to the desired optimal topology requires study. To address this problem, we propose the concept of optimal topology transition (OTT). This aims to find the topology transition trajectory from an initial topology to a desired terminal topology, which optimizes certain transition performance and satisfies operational constraints. The OTT problem is further formulated as a mixed-integer program under certain assumptions. Next, we propose the formulation of transition-embedded topology optimization that is capable of optimizing network topology and its transition trajectory simultaneously. Considering the time complexity…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsElectric Power System Optimization · Optimal Power Flow Distribution · Advanced Optical Network Technologies
MethodsHigh-Order Consensuses
