A new method of decision tree based transient stability assessment using hybrid simulation for real‐time PMU measurements
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[1] Thomas J. Overbye,et al. Large-Scale Generation and Validation of Synthetic PMU Data , 2020, IEEE Transactions on Smart Grid.
[2] Rong Yan,et al. Fast Transient Stability Batch Assessment Using Cascaded Convolutional Neural Networks , 2019, IEEE Transactions on Power Systems.
[3] Feng Li,et al. Hybrid method for power system transient stability prediction based on two-stage computing resources , 2017 .
[4] M. Kezunovic,et al. An Adaptive Phasor Estimator for Power System Waveforms Containing Transients , 2012, IEEE Transactions on Power Delivery.
[5] Rui Zhang,et al. Online power system dynamic security assessment with incomplete PMU measurements: a robust white‐box model , 2019, IET Generation, Transmission & Distribution.
[6] B. Gou,et al. Generalized Integer Linear Programming Formulation for Optimal PMU Placement , 2008, IEEE Transactions on Power Systems.
[7] Rui Zhang,et al. Post-disturbance transient stability assessment of power systems by a self-adaptive intelligent system , 2015 .
[8] Lei Gao,et al. Transient Stability Assessment of Power System Based on XGBoost and Factorization Machine , 2020, IEEE Access.
[9] Mohammed Mahdi,et al. Artificial neural network based algorithm for early prediction of transient stability using wide area measurements , 2017, 2017 5th International Istanbul Smart Grid and Cities Congress and Fair (ICSG).
[10] Bo Wang,et al. Power System Transient Stability Assessment Based on Big Data and the Core Vector Machine , 2016, IEEE Transactions on Smart Grid.
[11] Tao Meng,et al. Wide-area measurement system-based model-free approach of post-fault rotor angle trajectory prediction for on-line transient instability detection , 2018 .
[12] Jun Yang,et al. A Deep Imbalanced Learning Framework for Transient Stability Assessment of Power System , 2019, IEEE Access.
[13] David J. Hill,et al. Intelligent Time-Adaptive Transient Stability Assessment System , 2016, IEEE Transactions on Power Systems.
[14] Damir Novosel,et al. Wide-Area Protection and Emergency Control , 2004, Proceedings of the IEEE.
[15] Jiakun Fang,et al. Convolutional neural network-based power system transient stability assessment and instability mode prediction , 2020, Applied Energy.
[16] Ebrahim Farjah,et al. LEs based framework for transient instability prediction and mitigation using PMU data , 2016 .
[17] Wonhyeok Jang,et al. PMU Data Feature Considerations for Realistic, Synthetic Data Generation , 2019, 2019 North American Power Symposium (NAPS).
[18] Yuri V. Makarov,et al. Blackout Prevention in the United States, Europe, and Russia , 2005, Proceedings of the IEEE.
[19] Yinfeng Wang,et al. An adaptive filters based PMU algorithm for both steady-state and dynamic conditions in distribution networks , 2020 .
[20] U. D. Annakkage,et al. Support Vector Machine-Based Algorithm for Post-Fault Transient Stability Status Prediction Using Synchronized Measurements , 2011, IEEE Transactions on Power Systems.
[21] Mladen Kezunovic,et al. Characterizing dynamic behavior of PMUs using step signals , 2011 .