11 research outputs found
Wind Power Persistence Characterized by Superstatistics
Mitigating climate change demands a transition towards renewable electricity generation, with wind power being a particularly promising technology. Long periods either of high or of low wind therefore essentially define the necessary amount of storage to balance the power system. While the general statistics of wind velocities have been studied extensively, persistence (waiting) time statistics of wind is far from well understood. Here, we investigate the statistics of both high- and low-wind persistence. We find heavy tails and explain them as a superposition of different wind conditions, requiring q-exponential distributions instead of exponential distributions. Persistent wind conditions are not necessarily caused by stationary atmospheric circulation patterns nor by recurring individual weather types but may emerge as a combination of multiple weather types and circulation patterns. This also leads to Fréchet instead of Gumbel extreme value statistics. Understanding wind persistence statistically and synoptically may help to ensure a reliable and economically feasible future energy system, which uses a high share of wind generation
Using validated reanalysis data to investigate the impact of the PV system configurations at high penetration levels in European countries
Optimization of energy storage and system flexibility in the context of the energy transition: Germany’s power grid as a case study
Network isolators inhibit failure spreading in complex networks
In our daily lives, we rely on the proper functioning of supply networks,
from power grids to water transmission systems. A single failure in these
critical infrastructures can lead to a complete collapse through a cascading
failure mechanism. Counteracting strategies are thus heavily sought after. In
this article, we introduce a general framework to analyse the spreading of
failures in complex networks and demonstrate that both weak and strong
connections can be used to contain damages. We rigorously prove the existence
of certain subgraphs, called network isolators, that can completely inhibit any
failure spreading, and we show how to create such isolators in synthetic and
real-world networks. The addition of selected links can thus prevent large
scale outages as demonstrated for power transmission grids.Comment: 41 pages, 12 figure