Studying power-grid synchronization with incremental refinement of model heterogeneity
arXiv:2409.02758 · doi:10.1063/5.0237050
Abstract
Modeling power-grid systems has got a major importance in present days as transformation to renewable energy sources requires the complete re-design of energy transmission. Renewable energy sources can be located quite far from their consumption points because urban and industrial structures do not follow physical constraints and capabilities. Important examples are the sea coast vs inland divisions in the case of wind power. Ill-constructed high-voltage (HV) power grids can cause catastrophic damages to economies as it was demonstrated in recent history via the emergence of large blackout events. The probability distributions of such events was found to be fat-tailed, exhibiting power-law (PL) tails very often. To understand them, self-organized critical direct current (DC) models have been constructed~\cite{car2} and have been shown to describe well the PL exponents of empirical values. However, many details could not be understood as power-grids work with alternating currents (AC) in which phase differences are the primary causes of the power-flows.
9 pages, 11 figures, major revision of the previous version
References in corpus (26)
- Modularity and community structure in networks
- Efficient Behavior of Small-World Networks
- Synchronization in complex networks
- Analysis of a power grid using the Kuramoto-like model
- Paths to Synchronization on Complex Networks
- Average path length in random networks
- Average path length in uncorrelated random networks with hidden variables
- Dynamically induced cascading failures in power grids
- Robustness of the European power grids under intentional attack
- Taming Instabilities in Power Grid Networks by Decentralized Control
- Self-Organized Synchronization and Voltage Stability in Networks of Synchronous Machines
- Enhancing power grid synchronization and stability through time delayed feedback control
- Linear Stability and the Braess Paradox in Coupled Oscillators Networks and Electric Power Grids
- Nonlocal failures in complex supply networks by single link additions
- A universal order parameter for synchrony in networks of limit cycle oscillators
- Heterogeneity effects in power-grid network models
- Predictability of Power Grid Frequency
- Network experiment demonstrates converse symmetry breaking
- Heterogeneities in electricity grids strongly enhance non-Gaussian features of frequency fluctuations under stochastic power input
- Antagonistic Phenomena in Network Dynamics
- Power-law distributions of dynamic cascade failures in power-grid models
- Towards realistic statistical models of the grid frequency
- Synchronization dynamics on the EU and US power grids
- Chimera states in neural networks and power systems
- Improving power-grid systems via topological changes, or how self-organized criticality can help stability
- Dynamical heterogeneity and universality of power-grids