Centre for Earth Systems Engineering Research

RESNET: Resilient Electricity Networks

RESNET: Resilient Electricity Networks

Resilient Electricity Networks for Great Britain (RESNET) aims to develop a systems-level approach to analysing the resilience of existing and future electricity networks.


RESNET's aim will be achieved through developing tools for evaluating adaptation measures designed to enhance the resilience of the energy network. 

The primary aim of the project is to develop descriptive statistics in the form of wind fragility curves for the National Grid’s electricity infrastructure components (transmission towers, cables, etc.). 

With these fragility curves it becomes possible to assess the robustness of the system when it is subjected to extreme winds. The project forms part of RESNET WP3/4 (Figure 1).

The second part of the aim is to develop a system robustness tools identify network vulnerabilities, for  storms of varying intensity and direction. 

This will be formed from a GIS model of the National Grid, UK wind storm scenarios and component level fragility models developed previously.

The method

The UK electricity network is a largely spread out system. It is subject to storms originating from the Atlantic, Arctic, North sea and Europe. This makes it a complex system with complex weather effects. 

The components of this system include transmission towers and cables. To successfully model these components, finite element analysis and Monte Carlo methods are used. 

To create a complex model from the start is not seen as a sensible approach. To reduce the complexity of the process and obtain a better understanding of the processes, a simple Monte Carlo model is currently being constructed. 

On completion of the simple model a more complex model will be constructed. This will use technical specifications supplied by the National Grid 

A preliminary model has been constructed to observe behaviour of a transmission tower to loads. 

The complex model will allow development of component fragility curves. These can then be used alongside wind distributions and a GIS model of the National Grid to produce a system model of the complete grid.  

The result of the system model will be the ability to identify potential power disruptions and hence the associated cost from each wind scenario modelled.


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