In the first part of the talk I will concentrate on a possible mechanism for abrupt cascade failures in transmission power grids. I will consider both the cases of increasing loads and fluctuating sources (renewable energy). I will introduce a mean-field model and argue that abrupt failures are related to the long-range nature of Kirchoff's laws; hence, they are natural for any network distributing a commodity as a flow (like gas, water, oil). I will then generalise the model to the case of inter-dependent networks, showing the effects that the introduction of energy hubs could induce in a multi energy system. In the second part of the talk, I will consider a possible self-healing mechanism for distribution networks. I will analyse the case of radial (tree-like) networks with redundant links and investigate the effects of topology. I will then introduce an analytical model to predict the resilience of a self-healing network and confront the results with numerical simulations. Finally, I will introduce a simplified percolation models that highlights the importance of the underlying network topology and of the optimal placement of redundant links.
Systemic risk and recovery strategies in power networks and akin
Antonio Scala
2016
Abstract
In the first part of the talk I will concentrate on a possible mechanism for abrupt cascade failures in transmission power grids. I will consider both the cases of increasing loads and fluctuating sources (renewable energy). I will introduce a mean-field model and argue that abrupt failures are related to the long-range nature of Kirchoff's laws; hence, they are natural for any network distributing a commodity as a flow (like gas, water, oil). I will then generalise the model to the case of inter-dependent networks, showing the effects that the introduction of energy hubs could induce in a multi energy system. In the second part of the talk, I will consider a possible self-healing mechanism for distribution networks. I will analyse the case of radial (tree-like) networks with redundant links and investigate the effects of topology. I will then introduce an analytical model to predict the resilience of a self-healing network and confront the results with numerical simulations. Finally, I will introduce a simplified percolation models that highlights the importance of the underlying network topology and of the optimal placement of redundant links.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.


