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Power Systems Transient Stability Indices: Hierarchical Clustering Based Detection of Coherent Groups Of Generators

2021/02/26 by Faycal Znidi, Znidi, Faycal, Hamzeh Davarikia +3
Engineering · #FOS: Electrical engineering #Power System Optimization and Stability #Power System Reliability and Maintenance #Signal Processing (eess.SP) #Smart Grid and Power Systems #Systems and Control (eess.SY) #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2102.13286

openalex publication_date 2021/02/26 · openalex created_date 2024/03/23 · openalex updated_date 2026/07/28

Abstract

Coherent groups of generators, i.e., machines with perfectly correlated rotor angles, play an important role in power system stability analysis. This paper introduces a real-time methodology based on hierarchical clustering techniques for discovering the degree of coherency among generators using the synchronization coefficient and the correlation coefficient of the generators' rotor angle as the coherency index. Furthermore, the Power Transient Stability Indices (PTSI) were employed to examine the versatile response of the power system. The method uses power systems transients Stability indices, i.e., power Connectivity Factor (CF) index which presents coherently strong generators within the groups, the power Separation Factor (SF) index which unveils to the extent that the generators in different groups tend to swing against the other groups in the event of a disturbance, and the overall system separation index which demonstrates the overall system separation status (CF/SF). The approach is assessed on an IEEE-39 test system with a fully dynamic model. The simulation results presented in this paper demonstrate the efficiency of the proposed approach.

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