Preventing wide-area blackouts through adaptive islanding of transmission networks

Lead Research Organisation: University of Southampton
Department Name: School of Mathematics

Abstract

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Publications

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Fennelly Maxwell (2014) Geometric foundations of network partitioning

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Jean-Francois Lafont (Author) (2011) Rational equivariant K-homology of low dimensional groups in Clay Mathematics Proceedings

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Quirós-Tortós J (2015) Constrained spectral clustering-based methodology for intentional controlled islanding of large-scale power systems in IET Generation, Transmission & Distribution

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Sanchez-Garcia R (2014) Hierarchical Spectral Clustering of Power Grids in IEEE Transactions on Power Systems

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Sánchez-García R (2014) Dimensionality reduction and spectral properties of multilayer networks in Physical Review E

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Sánchez-García R (2013) Dimensionality reduction and spectral properties of multilayer networks

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Zacky Choo (Author) (2012) Computing Borel's Regulator in Forum Mathematicum

 
Description We have demonstrated that topological techniques can be used to discover, visualise and analyse the functional structure of a power network. We have demonstrated that it is possible to separate a power network into essentially independent, self-sustaining islands. We have created a new algorithm for identifying islands in the network and created methodology for visualising the outcomes. This methodology can be used in any network system where communications are governed by physical laws. In a far reaching extension of this work, we will be investigating air flow in lungs using a combination of topology and computational fluid dynamics.
Exploitation Route We are actively seeking academic and industrial partners to develop an implementation of these methods in commerce, industry, or medicine.
Sectors Energy

Healthcare

Security and Diplomacy

Transport
 
Description We have built a prototype of an app to visualise the state of a grid. This was presented to National Grid and is currently being extended to accommodate their suggestions. Our collaborators at the National Grid have suggested a number of specific problems which can be solved using our approach. The work carried out on this grant has formed a basis for a successful application to the SetSquared consortium to investigate potential commercial applications of the results.
First Year Of Impact 2014
Sector Digital/Communication/Information Technologies (including Software),Energy
Impact Types Economic
 
Description EPSRC - Coarse geometry
Amount £592,131 (GBP)
Funding ID EP/I016945/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 09/2011 
End 09/2015
 
Description Standard research: Making sense from data
Amount £1,218,040 (GBP)
Funding ID EP/N014189/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 12/2015 
End 05/2019