Identifying groups of critical edges in a realistic electrical network by multi-objective genetic algorithmsReport as inadecuate




Identifying groups of critical edges in a realistic electrical network by multi-objective genetic algorithms - Download this document for free, or read online. Document in PDF available to download.

1 Chaire Sciences des Systèmes et Défis Energétiques EDF-ECP-Supélec LGI - Laboratoire Génie Industriel - EA 2606, SSEC - Chaire Sciences des Systèmes et Défis Energétiques EDF-ECP-Supélec, Dipartimento di Energia 2 Dipartimento di Energia 3 Facultad de Ingenieria

Abstract : In this paper, an analysis of the vulnerability of the Italian high-voltage 380 kV electrical transmission network HVIET is carried out for the identification of the groups of links or edges, or arcs most critical considering the network structure and flow. Betweenness centrality and network connection efficiency variations are considered as measures of the importance of the network links. The search of the most critical ones is carried out within a multi-objective optimization problem aimed at the maximization of the importance of the groups and minimization of their dimension. The problem is solved using a genetic algorithm. The analysis is based only on information on the topology of the network and leads to the identification of the most important single component, couples of components, triplets and so forth. The comparison of the results obtained with those reported by previous analyses indicates that the proposed approach provides useful complementary information.





Author: Enrico Zio - L. R. Golea - Claudio Rocco -

Source: https://hal.archives-ouvertes.fr/



DOWNLOAD PDF




Related documents