Identifiers for structural warnings of malfunction in power grid networks
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Although its uninterrupted supply is essential for everyday life, the electricity occasionally experiences disruptions and outages. The work presented in the current paper aims to initiate the research to design a strategy based on advanced approaches of algebraic topology to prevent such malfunctions in a power grid network. Simplicial complexes are constructed to identify higher-order structures embedded in a network and, alongside a new algorithm for identifying delegates of the simplicial complex, are intended to pinpoint each element of the power grid network to its natural layer. Results of this methodology for analysis of a power grid network can single out its elements that are at risk to cause cascade problems which can result in unintentional islanding and blackouts. Further development of the outcomes of research can find implementation in the algorithms of the energy informatics research applications.
Кључне речи:
algebraic topology / simplicial complexes / complex systems / power grid network / power grid redundancyИзвор:
Thermal Science, 2022, 26, 6 part B, 5043-5051Финансирање / пројекти:
- Ministry of Education, Science and Technological Development of the Republic of Serbia
Институција/група
VinčaTY - JOUR AU - Anđelković, Miroslav AU - Maletić, Slobodan AU - Tomanović, Ivan PY - 2022 UR - https://vinar.vin.bg.ac.rs/handle/123456789/10603 AB - Although its uninterrupted supply is essential for everyday life, the electricity occasionally experiences disruptions and outages. The work presented in the current paper aims to initiate the research to design a strategy based on advanced approaches of algebraic topology to prevent such malfunctions in a power grid network. Simplicial complexes are constructed to identify higher-order structures embedded in a network and, alongside a new algorithm for identifying delegates of the simplicial complex, are intended to pinpoint each element of the power grid network to its natural layer. Results of this methodology for analysis of a power grid network can single out its elements that are at risk to cause cascade problems which can result in unintentional islanding and blackouts. Further development of the outcomes of research can find implementation in the algorithms of the energy informatics research applications. T2 - Thermal Science T1 - Identifiers for structural warnings of malfunction in power grid networks VL - 26 IS - 6 part B SP - 5043 EP - 5051 DO - 10.2298/TSCI220616115A ER -
@article{ author = "Anđelković, Miroslav and Maletić, Slobodan and Tomanović, Ivan", year = "2022", abstract = "Although its uninterrupted supply is essential for everyday life, the electricity occasionally experiences disruptions and outages. The work presented in the current paper aims to initiate the research to design a strategy based on advanced approaches of algebraic topology to prevent such malfunctions in a power grid network. Simplicial complexes are constructed to identify higher-order structures embedded in a network and, alongside a new algorithm for identifying delegates of the simplicial complex, are intended to pinpoint each element of the power grid network to its natural layer. Results of this methodology for analysis of a power grid network can single out its elements that are at risk to cause cascade problems which can result in unintentional islanding and blackouts. Further development of the outcomes of research can find implementation in the algorithms of the energy informatics research applications.", journal = "Thermal Science", title = "Identifiers for structural warnings of malfunction in power grid networks", volume = "26", number = "6 part B", pages = "5043-5051", doi = "10.2298/TSCI220616115A" }
Anđelković, M., Maletić, S.,& Tomanović, I.. (2022). Identifiers for structural warnings of malfunction in power grid networks. in Thermal Science, 26(6 part B), 5043-5051. https://doi.org/10.2298/TSCI220616115A
Anđelković M, Maletić S, Tomanović I. Identifiers for structural warnings of malfunction in power grid networks. in Thermal Science. 2022;26(6 part B):5043-5051. doi:10.2298/TSCI220616115A .
Anđelković, Miroslav, Maletić, Slobodan, Tomanović, Ivan, "Identifiers for structural warnings of malfunction in power grid networks" in Thermal Science, 26, no. 6 part B (2022):5043-5051, https://doi.org/10.2298/TSCI220616115A . .