2020 5th International Conference on Smart and Sustainable Technologies (SpliTech) 2020
DOI: 10.23919/splitech49282.2020.9243849
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Ensemble Learning Approach to Power System Transient Stability Assessment

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Cited by 7 publications
(12 citation statements)
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“…A fully automatic data processing pipeline follows (Section 2.2), with features engineering, statistical post-processing, stratified shuffle split and data scaling. Figure 2 presents a single-line diagram of the IEEE New England 39-bus test case power system that serves as a benchmark for the TSA analysis [6,29,30,37,42]. Power system features a total of 10 synchronous machines of different nominal powers, a number of transmission lines (TLs), three-phase power transformers and loads.…”
Section: Dataset Preparationmentioning
confidence: 99%
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“…A fully automatic data processing pipeline follows (Section 2.2), with features engineering, statistical post-processing, stratified shuffle split and data scaling. Figure 2 presents a single-line diagram of the IEEE New England 39-bus test case power system that serves as a benchmark for the TSA analysis [6,29,30,37,42]. Power system features a total of 10 synchronous machines of different nominal powers, a number of transmission lines (TLs), three-phase power transformers and loads.…”
Section: Dataset Preparationmentioning
confidence: 99%
“…where t 0 is the moment of the fault initiation (1 s), f is the frequency and ψ is the phase angle [37]. Hence, faults are initiated after the power system steady state has been attained.…”
Section: Features Engineering and Statistical Processingmentioning
confidence: 99%
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