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Infrastructure Resilience Conference 2018

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Resilience of Energy Distribution Infrastructures with Respect To Final Users and Operators. A Quantitative Assessment from a Dual Perspective

The economic and social welfare of a country significantly depends on a reliable and efficient distribution of energy, whose safety has to be guaranteed. Distribution infrastructures can be described as a network made by sets of nodes and interconnected branches which operability allows the proper flow of energy commodities and ensures the nominal performance of the entire network. The strong and intrinsic interdependencies that characterise these network systems represent a crucial point in the assessment and prediction of their resilience with respect to the failure of a certain branch. The effects of the unavailability of one or more elements of the network on the overall service must be assessed in order to identify and rank criticalities and to prioritise investments and countermeasures. In case of unavailability, the two main stakeholders involved are the final users, whose primary expectation is the assurance of the supply, and the companies that manage and operate the infrastructure. Building on existing approaches to the problem, this paper introduces two “resilience indexes” which quantify the effects on the overall network performance for both final users and operators caused by the failure of a single branch. The user-related index takes into account the supply unavailability for those locally connected to the disrupted branch and the effects on the overall availability of the commodity downstream the failure section, while the operator-related index evaluates the consequences of the shortage of commodity in the entire network. Furthermore, the availability of back-up sources is considered and its effect on the network performance is assessed. Finally, the proposed methodology has been applied to the section of the Italian high pressure gas transmission system connected with the main import pipeline from Russia (delivering about 43% of the Italian natural gas import): it was possible to highlight the most critical branches and to estimate the adaptive response of the network to local failure events.

Raffaella Gerboni
Politecnico di Torino - DENERG
Italy

Andrea Carpignano
Politecnico di Torino - DENERG
Italy

Daniele Grosso
Politecnico di Torino - DENERG
Italy

Allegra Barbero
Politecnico di Torino - DENERG
Italy

 

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