Interdisciplinary challenges in the study of power grid resilience and stability and their relation to extreme weather events

This topical issue collects contributions to the interdisciplinary study of power grid stability in face of increasing volatility of energy production and consumption due to increasing renewable energy infeed and changing climatic conditions. The individual papers focus on different aspects of this field and bring together modern achievements from various disciplines, in particular complex systems science, nonlinear data analysis, control theory, electrical engineering, and climatology. Main topics considered here are prediction and volatility of renewable infeed, modelling and theoretical analysis of power grid topology, dynamics and stability, relationships between stability and complex network topology, and improvements via topological changes or control. Impacts for the design of smart power grids are discussed in detail.

[1]  Andrej Gajduk,et al.  Stability of power grids: An overview , 2014 .

[2]  Hans-Josef Allelein,et al.  Impacts of the transformation of the German energy system on the transmission grid , 2014 .

[3]  Jun-ichi Imura,et al.  Probabilistic evaluation of interconnectable capacity for wind power generation , 2014 .

[4]  Hiroya Nakao,et al.  Complex Ginzburg-Landau equation on networks and its non-uniform dynamics , 2014 .

[5]  Qian Ye,et al.  Building resilient power grids from integrated risk governance perspective: A lesson learned from china's 2008 Ice-Snow Storm disaster , 2014 .

[6]  Matti Latva-aho,et al.  Models for the modern power grid , 2013, 1401.0260.

[7]  Joachim Peinke,et al.  Self-organized synchronization and voltage stability in networks of synchronous machines , 2013, ArXiv.

[8]  Hideyuki Suzuki.  Dynamics of load balancing with constraints , 2014 .

[9]  Kazuyuki Aihara,et al.  A Linear programming formulation for routing asynchronous power systems of the Digital Grid , 2014 .

[10]  Jobst Heitzig,et al.  How dead ends undermine power grid stability , 2014, Nature Communications.

[11]  Uros Kerin,et al.  Real-time dynamic security assessment of power grids , 2014 .

[12]  Dirk Witthaut,et al.  Supply networks: Instabilities without overload , 2014 .

[13]  Tue Vissing Jensen,et al.  Emergence of a phase transition for the required amount of storage in highly renewable electricity systems , 2014 .

[14]  Hildegard Meyer-Ortmanns,et al.  Long-range response to transmission line disturbances in DC electricity grids , 2014 .

[15]  Marc Timme,et al.  Self-organized synchronization in decentralized power grids. , 2012, Physical review letters.

[16]  Gouhei Tanaka,et al.  Node-wise robustness against fluctuations of power consumption in power grids , 2014 .

[17]  Takashi Oozeki,et al.  Impact of aerosols on the forecast accuracy of solar irradiance calculated by a numerical weather prediction model , 2014 .

[18]  Patrick Milan,et al.  Kolmogorov spectrum of renewable wind and solar power fluctuations , 2014 .

[19]  Kazuyuki Aihara,et al.  Predicting multivariate time series in real time with confidence intervals: Applications to renewable energy , 2014 .

[20]  Jurgen Kurths,et al.  A random growth model for power grids and other spatially embedded infrastructure networks , 2014, The European Physical Journal Special Topics.

[21]  Jürgen Kurths,et al.  Basin stability of the Kuramoto-like model in small networks , 2014 .

[22]  Takayuki Ishizaki,et al.  Hierarchical distributed stabilization of power networks , 2014 .