Cluster-based tristate aggregation method for dependability evaluation of electrical systems
2025, vol.17 , no.4, pp. 99-110
Article [2025-04-10]
This paper presents a novel approach for dependability evaluation of power supply systems based on discrete state aggregation. The proposed method, called the Tristate Cluster Aggregation Model (TRICAM), groups system components into fixed clusters, where each component can be in one of three operational states: fully operational (100%), partially operational (50%), or failed (0%). The cluster's overall state is determined using rule-based logic that reflects real-world failure propagation and degradation. By computing the probabilities of state transitions at the component level and aggregating them, the method produces a compact cluster-level Markov model. TRICAM significantly reduces the dimensionality of the state space compared to conventional models, enabling efficient analysis of large systems. This approach provides a scalable and interpretable framework suitable for evaluating reliability and guiding maintenance or reconfiguration strategies in modern power infrastructures.
dependability, electrical systems, solar power plants, Markov analysis, Monte Carlo method, triple-based clusterization method, cluster aggregation method
https://doi.org/10.59035/IMTD9632
Dmytro Stetsiuk, Dmitry Maevsky, Elena Maevskaya, Viacheslav Lavrynenko, Kvitchuk Vitalii. Cluster-based tristate aggregation method for dependability evaluation of electrical systems. International Journal on Information Technologies and Security, vol.17 , no.4, 2025, pp. 99-110. https://doi.org/10.59035/IMTD9632