Zobrazeno 1 - 10
of 65
pro vyhledávání: '"Frank Hellmann"'
Autor:
Anna Büttner, Frank Hellmann
Publikováno v:
PRX Energy, Vol 3, Iss 1, p 013005 (2024)
The energy transition introduces new classes of dynamical actors into the power grid. There is, in particular, a growing need for so-called grid-forming inverters (GFIs) that can contribute to dynamic grid stability as the share of synchronous genera
Externí odkaz:
https://doaj.org/article/0fbd0133880d404385195fa8ac71c9cf
Publikováno v:
Journal of Physics: Complexity, Vol 4, Iss 2, p 025007 (2023)
Given two dynamical systems, we quantify how similar they are with respect to their interaction with the outside world. We focus on the case where simpler systems act as a specification for a more complex one. Combining a behavioral and probabilistic
Externí odkaz:
https://doaj.org/article/f22825e55a9f4cb7a9a593113c18a5dd
Autor:
Anton Plietzsch, Raphael Kogler, Sabine Auer, Julia Merino, Asier Gil-de-Muro, Jan Liße, Christina Vogel, Frank Hellmann
Publikováno v:
SoftwareX, Vol 17, Iss , Pp 100861- (2022)
PowerDynamics.jl is a Julia package for time-domain modeling of power grids that is specifically designed for the stability analysis of systems with high shares of renewable energies. It makes use of Julia’s state-of-the-art differential equation s
Externí odkaz:
https://doaj.org/article/2af7b43b09374b399d3bee633e7dda00
Autor:
Frank Hellmann, Paul Schultz, Patrycja Jaros, Roman Levchenko, Tomasz Kapitaniak, Jürgen Kurths, Yuri Maistrenko
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-9 (2020)
The design of future power grids with decentral control calls for a better understanding of the stability of synchronized networked systems. Here, Hellmann et al. show that the energy losses in coupled oscillators can significantly alter power grid d
Externí odkaz:
https://doaj.org/article/72352d94ca9445a68888b78c84c94654
Publikováno v:
Entropy, Vol 24, Iss 11, p 1689 (2022)
In recurrence analysis, the τ-recurrence rate encodes the periods of the cycles of the underlying high-dimensional time series. It, thus, plays a similar role to the autocorrelation for scalar time-series in encoding temporal correlations. However,
Externí odkaz:
https://doaj.org/article/e274f71a43db4170adb7bdb8426d89d6
Publikováno v:
PRX Energy, Vol 1, Iss 1, p 013008 (2022)
Future power grids will be operating a large number of heterogeneous dynamical actors. Many of these will contribute to the fundamental dynamical stability of the system, and play a central role in establishing the self-organized synchronous state th
Externí odkaz:
https://doaj.org/article/d1e28260cdda4a7a98aae5ff528e9c84
Publikováno v:
New Journal of Physics, Vol 24, Iss 12, p 123027 (2022)
What do generic networks that have certain properties look like? We use relative canonical network ensembles as the ensembles that realize a property R while being as indistinguishable as possible from a background network ensemble. This allows us to
Externí odkaz:
https://doaj.org/article/c458ae2d0acb440bae1b398b4e4e9c3e
Autor:
Christian Nauck, Michael Lindner, Konstantin Schürholt, Haoming Zhang, Paul Schultz, Jürgen Kurths, Ingrid Isenhardt, Frank Hellmann
Publikováno v:
New Journal of Physics, Vol 24, Iss 4, p 043041 (2022)
The prediction of dynamical stability of power grids becomes more important and challenging with increasing shares of renewable energy sources due to their decentralized structure, reduced inertia and volatility. We investigate the feasibility of app
Externí odkaz:
https://doaj.org/article/c2ed4dbdd90d4015b28beb155189318e
Publikováno v:
New Journal of Physics, Vol 24, Iss 5, p 053019 (2022)
Ambient forcing is a novel method to sample random states from manifolds of differential-algebraic equations (DAE). These states can represent local perturbations of nodes in power systems with loads, which introduces constraints into the system. The
Externí odkaz:
https://doaj.org/article/4c9f20e522bd4ddcbf30666768528d58
Publikováno v:
Physical Review Research, Vol 2, Iss 2, p 023409 (2020)
Time lags occur in a vast range of real-world dynamical systems due to finite reaction times or propagation speeds. Here we derive an analytical approach to determine the asymptotic stability of synchronous states in networks of coupled inertial osci
Externí odkaz:
https://doaj.org/article/2d549e12121645bfa82f485d12f80ca3