A new method of decision tree based transient stability assessment using hybrid simulation for real‐time PMU measurements

[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 .