Application of Metaheuristic Algorithms for Finding Strategy of Optimal Response to Natural Gas Supply Disruptions
Resilience Assessment: Methodological Challenges and Applications to Critical Infrastructures: Proceedings of the 63rd ESReDA Seminar 2024
Ivars Zālītis, Laila Zemīte, Aleksandrs Dolgicers

This work describes a framework for an updated version of the method for synthesis of an optimal response strategies (ORSs) to GN disturbances, which ensures maximum possible supply of gas to highest priority consumers. An ORS consists of necessary demand curtailment levels and decisions on utilisation of available reserve sources. Simultaneously, this algorithm determines the minimum value of expected unsupplied gas due to a disruption for identification of critical GN elements and other resilience analysis tasks. The proposed method addresses the disconnection between individual time intervals or points of disruption duration when they are optimised separately, which can lead to slightly sub-optimal solutions when considering the whole track of disturbance mitigation, while avoiding full complexity associated with the dynamic programming.


Keywords
Natural gas, transmission, disturbances, optimisation
DOI
10.2760/2808748
Hyperlink
https://publications.jrc.ec.europa.eu/repository/handle/JRC139101

Zālītis, I., Zemīte, L., Dolgicers, A. Application of Metaheuristic Algorithms for Finding Strategy of Optimal Response to Natural Gas Supply Disruptions. In: Resilience Assessment: Methodological Challenges and Applications to Critical Infrastructures: Proceedings of the 63rd ESReDA Seminar, Italy, Ispra, 25-26 October, 2023. Luxembourg: Publications Office of the European Union, 2024, pp.90-94. ISBN 978-92-68-20482-5. Available from: doi:10.2760/2808748

Publication language
English (en)
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