This paper proposes a method of assessing some aspects of the resilience of distribution networks with particular reference to the heatwave phenomena using a probabilistic approach. Combining the characteristics of the network with the probability of failure of the electrical grid components most affected by the heatwaves (e.g., the medium voltage cable joints) and the weather forecasts in a given territory, maps of risk of failure, or dually of the resilience of the network, can be developed by means of a Geographic Information System (GIS) environment. The approach exploits knowledge graph technology, linking different kinds of data, information, and models to an ontology to support the integrated processing and visualization of relevant information for decision-making. This contribution is part of the activities of the project 'Network 4 Energy Sustainable Transition - NEST,' funded under the National Recovery and Resilience Plan (NRRP).

Mapping Resilience of Distribution Networks Against Heatwaves / Calcara, Luigi; Casu, Adriano; Pilo, Fabrizio; Pisano, Giuditta; Pollino, Maurizio; Pompili, Massimo; Villani, Maria Luisa. - (2024), pp. 01-06. ( 116th AEIT International Annual Conference, AEIT 2024 Trento; Italy ) [10.23919/aeit63317.2024.10736874].

Mapping Resilience of Distribution Networks Against Heatwaves

Calcara, Luigi;Pollino, Maurizio;Pompili, Massimo;Villani, Maria Luisa
2024

Abstract

This paper proposes a method of assessing some aspects of the resilience of distribution networks with particular reference to the heatwave phenomena using a probabilistic approach. Combining the characteristics of the network with the probability of failure of the electrical grid components most affected by the heatwaves (e.g., the medium voltage cable joints) and the weather forecasts in a given territory, maps of risk of failure, or dually of the resilience of the network, can be developed by means of a Geographic Information System (GIS) environment. The approach exploits knowledge graph technology, linking different kinds of data, information, and models to an ontology to support the integrated processing and visualization of relevant information for decision-making. This contribution is part of the activities of the project 'Network 4 Energy Sustainable Transition - NEST,' funded under the National Recovery and Resilience Plan (NRRP).
2024
116th AEIT International Annual Conference, AEIT 2024
distribution networks; GIS; heatwaves; knowledge graph; resilience
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Mapping Resilience of Distribution Networks Against Heatwaves / Calcara, Luigi; Casu, Adriano; Pilo, Fabrizio; Pisano, Giuditta; Pollino, Maurizio; Pompili, Massimo; Villani, Maria Luisa. - (2024), pp. 01-06. ( 116th AEIT International Annual Conference, AEIT 2024 Trento; Italy ) [10.23919/aeit63317.2024.10736874].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1746724
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