Multistability and anomalies in oscillator models of lossy power grids
Robin Delabays, Saber Jafarpour, and Francesco Bullo

TL;DR
This paper introduces a geometric framework for analyzing dissipatively coupled oscillators in power grids, revealing how dissipation can enhance transfer capacity and promote multistability, with practical computations on a standard test system.
Contribution
It develops a novel geometric and computational approach to identify all synchronous states and anomalies in lossy power grid models, addressing challenges posed by dissipative couplings.
Findings
Loop flows and dissipation can increase transfer capacity.
Dissipation can promote multistability in power grids.
Identification of multiple high voltage solutions in IEEE RTS-96.
Abstract
The analysis of dissipatively coupled oscillators is challenging and highly relevant in power grids. Standard mathematical methods are not applicable, due to the lack of network symmetry induced by dissipative couplings. Here we demonstrate a close correspondence between stable synchronous states in dissipatively coupled oscillators, and the {winding partition} of their state space, a geometric notion induced by the network topology. Leveraging this winding partition, we accompany this article with an algorithms to compute all synchronous solutions of complex networks of dissipatively coupled oscillators. These geometric and computational tools allow us to identify anomalous behaviors of lossy networked systems. Counterintuitively, we show that loop flows and dissipation can increase the system's transfer capacity, and that dissipation can promote multistability. We apply our geometric…
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
TopicsStability and Controllability of Differential Equations · Nonlinear Dynamics and Pattern Formation · Quantum chaos and dynamical systems
