Synchronized states of power grids and oscillator networks by convex optimization
arXiv:2403.09185 · doi:10.1103/PRXEnergy.3.043004
Abstract
Synchronization is essential for the operation of AC power systems: All generators in the power grid must rotate with fixed relative phases to enable a steady flow of electric power. Understanding the conditions for and the limitations of synchronization is of utmost practical importance. In this article, we propose a novel approach to compute and analyze the stable stationary states of a power grid or an oscillator network in terms of a convex optimization problem. This approach allows to systematically compute \emph{all} stable states where the phase difference across an edge does not exceed .Furthermore, the optimization formulation allows to rigorously establish certain properties of synchronized states and to bound the error in the widely used linear power flow approximation.
arXiv comment19 pages, 7 figures
References in corpus (17)
- The Kuramoto model in complex networks
- Synchronization in Complex Oscillator Networks and Smart Grids
- Spontaneous synchrony in power-grid networks
- Analysis of a power grid using the Kuramoto-like model
- Comparative analysis of existing models for power-grid synchronization
- Linear Optimal Power Flow Using Cycle Flows
- Robustness of Synchrony in Complex Networks and Generalized Kirchhoff Indices
- Cycle flows and multistabilty in oscillatory networks: an overview
- Dual theory of transmission line outages
- The Size of the Sync Basin Revisited
- Multistability of Phase-Locking and Topological Winding Numbers in Locally Coupled Kuramoto Models on Single-Loop Networks
- Multistability of Phase-Locking in Equal-Frequency Kuramoto Models on Planar Graphs
- Non-Local Impact of Link Failures in Linear Flow Networks
- An algebraic approach to the Kuramoto model
- Topologically Protected Loop Flows in High Voltage AC Power Grids
- Multistability and anomalies in oscillator models of lossy power grids
- Multistability in lossy power grids and oscillator networks