ResiServD

We want to assess and improve the ability of the distributed, multimodal and smart energy system to withstand challenges - its resilience. We consider the future electrical power system that strongly depends on information and communication technology and is interconnected to gas and heating systems. The modelling of this complex system needs to be as efficient as possible, taking into account only the most relevant aspects in terms of resilience. Otherwise, performing computer simulations for resilience assessment is not feasible in terms of computational complexity. Towards this end, we propose the following methodological approaches: The description of the subsystems and interconnections as services, the abstraction into stochastic activity nets, the modelling as interoperable agents, and the use of multi-level optimisation for the analytical identification of resilience-relevant modelling parameters on the one hand and of the scope of challenges beyond known, high probability events on the other hand.