POWER SYSTEM ISLANDING ALGORITHMS
DOI:
https://doi.org/10.32782/IT/2024-2-1Keywords:
energy networks, islanding, hierarchical clusteringAbstract
Islanding energy systems plays a crucial role in ensuring their reliability and stability, particularly during critical situations such as large-scale accidents, natural disasters, or technical failures. This study aims to investigate and analyze existing algorithms for islanding energy networks to ensure their reliability and stability in such critical situations. Methodology. The study employs a theoretical analysis methodology to review several contemporary algorithms for islanding energy networks. These include the spectral clustering algorithm for controlled islanding, the islanding algorithm for distribution networks with distributed generators using a directed graph model, a two-step approach based on the Crow Search Optimizer, the hierarchical decomposition algorithm, and a three-stage method comprising the self-adaptive graph simplification algorithm, the isolation cut search algorithm, and the isolation scheme verification algorithm. Special attention is given to exploring the scalability of these algorithms. Findings. It was found that some of these algorithms have limitations related to scalability in the context of large energy networks, potentially leading to decreased efficiency and reliability. As a solution, the use of the hierarchical decomposition algorithm is proposed, which allows for the partitioning of complex networks. This facilitates greater flexibility and adaptability in management, enhances integration capabilities for renewable sources, and reduces vulnerabilities from centralized disruptions. Scientific novelty of this work lies in the analysis of the limitations of current islanding methods related to scalability in large energy networks and the proposal to use the hierarchical decomposition algorithm as a solution. The hierarchical decomposition approach allows for the partitioning of complex networks, promoting greater flexibility and adaptability in management, enhancing integration capabilities for renewable sources, and reducing vulnerabilities from centralized disruptions. Conclusions. The implementation of such innovative methods contributes to enhancing the stability of energy systems and opens new possibilities for optimizing their operation. The islanding approach based on hierarchical decomposition improves supply reliability and system adaptability to changing conditions, which is becoming increasingly important in the context of global climate change and environmental challenges.
References
Goubko M., Ginz V. Improved spectral clustering for multi-objective controlled islanding of power grid. Energy Systems, 10, 2017. 59–94. https://doi.org/10.1007/S12667-017-0240-1.
Zheshen H. Islanding Model of Distribution Systems with Distributed Generators Based on Directed Graph. Automation of electric power systems. 2015.
KarthiKumar Kuppusamy, Kumar, V. A new opposition crow search optimizer-based two-step approach for controlled intentional islanding in microgrids. Soft Computing. 2021. 25. 10.1007/s00500-020-05280-1.
XU Shaoxiang, MIAO Shihong. Three-stage method for intentional controlled islanding of power systems. Journal of Modern Power Systems and Clean Energy. 2017. 6. 10.1007/s40565-017-0348-2.
R. P. Bazylevych, R. A. Melnyk, O. G. Rybak. «Circuit partitioning for FPGAs by the optimal circuit reduction method». In: VLSI Design, Vol. 11, No 3, pp. 237–248, 2000.
Bazylevych R. P. «The optimal circuit reduction method as an effective tool to solve large and very large size intractable combinatorial VLSI physical design problems». In: 10-th NASA Symp. on VLSI Design, March 20-21, 2002, Albuquerque, NM, USA, pp. 6.1.1–6.1.14.
R. Bazylevych, I. Podolskyy and L. Bazylevych. «Partitioning optimization by recursive moves of hierarchically built clusters». In: Proc. of 2007 IEEE Workshop on Design and Diagnostics of Electronic Circuits and Systems. April, 2007, Krakow, Poland, pp. 235–238.
Roman Bazylevych, Marek Pałasiński, Dmytro Yanush, Lubov Bazylevych. «Partitioning Optimization by Iterative Reassignment of the Hierarchically Built Clusters with Border Elements», 2nd Mediterranean Conference on Embedded Computing, MECO – 2013, Budva, Montenegro, pp.219–222.
Левус Є. В., Василюк Р. Б. Рекомендаційний алгоритм із використанням кластеризації даних. Український журнал інформаційних технологій. 2022, т. 4, № 2. С. 18–24.
Su J., Bai H., Zhang P., Liu H., Miao S. Intentional Islanding Algorithm for Distribution Network Based on Layered Directed Tree Model. Energiese, 9, 2016. 1–21. https://doi.org/10.3390/EN9030124.
Laasasenaho K., Lensu A., Lauhanen R., Rintala, J. GIS-data related route optimization, hierarchical clustering, location optimization, and kernel density methods are useful for promoting distributed bioenergy plant planning in rural areas. Sustainable Energy Technologies and Assessments, 32, 2019. 47–57. https://doi.org/10.1016/j.seta.2019.01.006
Bazylevych Roman, Bazylevych Lubov. Power System Islanding by the Hierarchical Clustering. 2019. 10.1109/STC-CSIT.2019.8929837.
