Abstract
This article is devoted to the definition of the most important combinations of objects in critical network infrastructures. This study was carried out using the example of the Russian gas transmission network. Since natural gas is widely used in the energy sector, the gas transmission network can be exposed to terrorist threats, and the actions of intruders can be directed at both gas fields and gas pipelines. A defender–attacker model was proposed to simulate attacks. In this model, the defender solves the maximum flow problem to satisfy the needs of gas consumers. By excluding gas pipelines, the attacker tries to minimize the maximum flow in the gas transmission network. Russian and European gas transmission networks are territorially very extensive and have a significant number of mutual intersections and redundant pipelines. Therefore, one of the approaches to inflicting maximum damage on the system is modeled as an attack on a clique. A clique in this study is several interconnected objects. The article presents the list of the most interconnected sections of main gas pipelines, the failure of which can cause the greatest damage to the system in the form of a gas shortage among consumers. Conclusions were drawn about the applicability of the maximum clique method for identifying the most important objects in network critical infrastructures.
Highlights
The transport schemes of energy systems over time undergo significant changes, both in the connections between the nodes and in the production capabilities of these connections and nodes, and in the number of these nodes themselves and the connections between them
As part of the design conditions in this study, the average day in January was taken, when in the constituent entities of the Russian Federation, there is the maximum consumption of natural gas with its additional delivery from the underground gas storage reservoirs
More than 90% of Russian natural gas is produced in one gas-producing region (North of the Tyumen region)
Summary
The transport schemes of energy systems over time undergo significant changes, both in the connections between the nodes and in the production capabilities of these connections and nodes, and in the number of these nodes themselves and the connections between them. A complex gas transmission network contains a significant number of facilities, the performance of which critically affects the overall performance of the gas transmission network and, its ability to reliably provide an uninterrupted gas supply to consumers. The most large-scale accidents in power systems occur as a result of the malfunction of various critical objects of these systems [1,2]. One of the results of such accidents is great damage to consumers, which is expressed in a large shortage of fuel and energy resources. The identification of critical objects and their combinations in power systems in order to develop measures aimed at reducing the significance of these objects is an urgent task
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