In this deliverable we summarise the
research work and the results obtained in the WP 2.1 entitled "LCCI topology analysis: data and scenario understanding". The work package consists of five tasks addressing five different topics: topological data collection and analysis, development of improved models of cascading failures, computer simulation of models, development and simulation of recovery strategies, and applications of common mode failure approach in the context of LCCI. The aim of WP 2.1 is twofold:
Deliverable D2.1.3 - A Complex System's View of Critical Infrastructures
Publsihed in Understanding Complex Systems
Springer Berlin / Heidelberg, 2008
This article intends to show the Complexity Science (CS) methods and tools and some recent results of their application in the field of LCCIs as well as to make a first recognition of some basic problems which can be tackled by making use of mathematical models and numerical methods.
Deliverable D2.1.3 - Is the Topology of the Internet Network fit to perform its Functions
This work addresses the problem of understanding the relation between the topologyof a communication network and its function and efficiency. Aside to the evaluation of the most relevant topological parameters we study the different vulnerabilities of the network, both the structural and the dynamical vulnerability. Starting from this analysis, we attempt to collect relevant insights to answer the question regarding the ability of the Internet to sustain the traffic of data also in presence of structural perturbations and, ultimately, on the fitness of the Internet structure to accomplish its task.
Authors: V. Rosato, L. ISsacharoff, F. Tiriticco, S. Meloni, S. De Porcellinis, R. Setola
Published in International Journal of Critical Infrastructures, Vol. 4, No. 172, 2008
This work investigates the consequence of failures, occurring on the electrical grid, on a telecommunication network based on the example of the Italian electrical transmission network and the backbone of the internet network for research (GARR). Electrical network has been simulated using the DC power flow method; data traffic on GARR by a model of the TCP/IP basic features. The status of GARR nodes has been related to the power level of the (geographically) neighbouring electrical nodes (if the power level of a node is lower than a threshold, all communication nodes depending on it are switched off). The electrical network has been perturbed by lines removal: the consequent re-dispatching reduces the power level in all nodes. Averaging over many configurations of perturbed electrical network, we have correlated the degradation of the electrical network with that of the communication network. Results point to a sizeable amplification of the effects of faults on the electrical network on the communication network, also in the case of a moderate coupling between the two networks.
In the present work we study the properties of the Italian high-voltage (380 kV) electrical transmission network (HVIET hereafter), to estimate the vulnerability of the network on the basis of the analysis of its topological properties and of the results of a model of power transport. We have also attempted to establish some correlation between the topological properties of the different parts of the network and their functional relevance. Results show that topological and functional relevancies are related to different lines; lines having a strong topological relevance may have a bare relevance in the flow distribution and thus their removal does not affect the functioning of the network.