Asymmetry underlies stability in power grids
arXiv:2103.10952 · doi:10.1038/s41467-021-21290-5
Abstract
Behavioral homogeneity is often critical for the functioning of network systems of interacting entities. In power grids, whose stable operation requires generator frequencies to be synchronized--and thus homogeneous--across the network, previous work suggests that the stability of synchronous states can be improved by making the generators homogeneous. Here, we show that a substantial additional improvement is possible by instead making the generators suitably heterogeneous. We develop a general method for attributing this counterintuitive effect to converse symmetry breaking, a recently established phenomenon in which the system must be asymmetric to maintain a stable symmetric state. These findings constitute the first demonstration of converse symmetry breaking in real-world systems, and our method promises to enable identification of this phenomenon in other networks whose functions rely on behavioral homogeneity.
arXiv commentUpdated to correct the damping parameters in Fig. 1 and its caption, which were inadvertently over-rounded in the original version. The published version of the Article has also been updated with this correction
References in corpus (9)
- Synchronization in complex networks
- Spontaneous synchrony in power-grid networks
- Dynamically induced cascading failures in power grids
- Comparative analysis of existing models for power-grid synchronization
- Non-Gaussian power grid frequency fluctuations characterized by Lévy-stable laws and superstatistics
- Optimal PMU Placement for Power System Dynamic State Estimation by Using Empirical Observability Gramian
- Symmetric States Requiring System Asymmetry
- Cascading Failures as Continuous Phase-Space Transitions
- Network experiment demonstrates converse symmetry breaking
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- Interpretable disorder-promoted synchronization and coherence in coupled laser networks
- Optimal flock formation induced by agent heterogeneity
- Disorder-promoted stability
- Modelling power grids as pseudo adaptive networks