Fast Transient Stability Batch Assessment Using Cascaded Convolutional Neural Networks
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Rong Yan | Guangchao Geng | Quanyuan Jiang | Yanglin Li | Q. Jiang | Guangchao Geng | Rong Yan | Yanglin Li
[1] P. Kundur,et al. Power system stability and control , 1994 .
[2] G. Lewicki,et al. Approximation by Superpositions of a Sigmoidal Function , 2003 .
[3] Zhihong Yu,et al. Power System Transient Stability Assessment Based on Voltage Phasor and Convolution Neural Network , 2018, 2018 IEEE International Conference on Energy Internet (ICEI).
[4] R. Podmore,et al. A Practical Method for the Direct Analysis of Transient Stability , 1979, IEEE Transactions on Power Apparatus and Systems.
[5] Ruisheng Diao,et al. Design of a Real-Time Security Assessment Tool for Situational Awareness Enhancement in Modern Power Systems , 2010, IEEE Transactions on Power Systems.
[6] Zhenyu Huang,et al. On Parallelizing Single Dynamic Simulation Using HPC Techniques and APIs of Commercial Software , 2017, IEEE Transactions on Power Systems.
[7] Udaya Annakkage,et al. Support vector machine-based algorithm for post-fault transient stability status prediction using synchronized measurements , 2011, 2011 IEEE Power and Energy Society General Meeting.
[8] K. R. Padiyar,et al. ENERGY FUNCTION ANALYSIS FOR POWER SYSTEM STABILITY , 1990 .
[9] Jun Li,et al. Representational learning approach for power system transient stability assessment based on convolutional neural network , 2017 .
[10] Peter Vrancx,et al. Convolutional Neural Networks for Automatic State-Time Feature Extraction in Reinforcement Learning Applied to Residential Load Control , 2016, IEEE Transactions on Smart Grid.
[11] Kai Sun,et al. Online analysis of voltage security in a microgrid using convolutional neural networks , 2017, 2017 IEEE Power & Energy Society General Meeting.
[12] Janath Geeganage,et al. Application of energy-based power system features for dynamic security assessment , 2015, 2015 IEEE Power & Energy Society General Meeting.
[13] S.M. Rovnyak,et al. Integral square generator angle index for stability ranking and control , 2005, IEEE Transactions on Power Systems.
[14] Miao He,et al. Robust Online Dynamic Security Assessment Using Adaptive Ensemble Decision-Tree Learning , 2013, IEEE Transactions on Power Systems.
[15] Alexander Zien,et al. Semi-Supervised Learning , 2006 .
[16] Deqiang Gan,et al. Stability-constrained optimal power flow , 2000 .
[17] Pratyasa Bhui,et al. Real-Time Prediction and Control of Transient Stability Using Transient Energy Function , 2017, IEEE Transactions on Power Systems.
[18] Chia-Chi Chu,et al. Direct stability analysis of electric power systems using energy functions: theory, applications, and perspective , 1995, Proc. IEEE.
[19] Victor O. K. Li,et al. Delay Aware Power System Synchrophasor Recovery and Prediction Framework , 2019, IEEE Transactions on Smart Grid.
[20] Venkataramana Ajjarapu,et al. Adaptive Online Monitoring of Voltage Stability Margin via Local Regression , 2018, IEEE Transactions on Power Systems.
[21] Gurunath Gurrala,et al. An Online Power System Stability Monitoring System Using Convolutional Neural Networks , 2019, IEEE Transactions on Power Systems.
[22] Kurt Hornik,et al. Approximation capabilities of multilayer feedforward networks , 1991, Neural Networks.
[23] Soheil Ranjbar,et al. Transient Instability Prediction Using Decision Tree Technique , 2013, IEEE Transactions on Power Systems.
[24] Nitish Srivastava,et al. Improving neural networks by preventing co-adaptation of feature detectors , 2012, ArXiv.
[25] Y. Xue,et al. Fast analysis of stability using EEAC and simulation technologies , 1998, POWERCON '98. 1998 International Conference on Power System Technology. Proceedings (Cat. No.98EX151).
[26] P. Kundur,et al. Definition and classification of power system stability IEEE/CIGRE joint task force on stability terms and definitions , 2004, IEEE Transactions on Power Systems.
[27] David J. Hill,et al. Intelligent Time-Adaptive Transient Stability Assessment System , 2016, IEEE Transactions on Power Systems.
[28] Jun Li,et al. Stacked-GRU Based Power System Transient Stability Assessment Method , 2018, Algorithms.
[29] Lorenzo Torresani,et al. Learning Spatiotemporal Features with 3D Convolutional Networks , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[30] Lei Zhang,et al. Fine-Tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Qian Qing-quan. Dual-stage Feature Selection for Transient Stability Assessment Based on Support Vector Machine , 2010 .
[32] Jovica V. Milanovic,et al. Online Identification of Power System Dynamic Signature Using PMU Measurements and Data Mining , 2016, IEEE Transactions on Power Systems.
[33] Carson W. Taylor,et al. Definition and Classification of Power System Stability , 2004 .
[34] Bo Wang,et al. Power System Transient Stability Assessment Based on Big Data and the Core Vector Machine , 2016, IEEE Transactions on Smart Grid.
[35] Tara N. Sainath,et al. Deep Neural Networks for Acoustic Modeling in Speech Recognition , 2012 .
[36] Thanh Long Vu,et al. Toward Simulation-Free Estimation of Critical Clearing Time , 2016, IEEE Transactions on Power Systems.
[37] Chao Lu,et al. Load Shedding Scheme with Deep Reinforcement Learning to Improve Short-term Voltage Stability , 2018, 2018 IEEE Innovative Smart Grid Technologies - Asia (ISGT Asia).
[38] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[39] I Kamwa,et al. Development of rule-based classifiers for rapid stability assessment of wide-area post disturbance records , 2009, IEEE PES General Meeting.
[40] J. A. Jordan,et al. Solution methods for transient and dynamic stability , 1974 .
[41] Daniel Kirschen,et al. Model-Free Renewable Scenario Generation Using Generative Adversarial Networks , 2017, IEEE Transactions on Power Systems.
[42] M. Pai. Energy function analysis for power system stability , 1989 .
[43] R. Grondin,et al. Time-varying contingency screening for dynamic security assessment using intelligent-systems techniques , 2001, PICA 2001. Innovative Computing for Power - Electric Energy Meets the Market. 22nd IEEE Power Engineering Society. International Conference on Power Industry Computer Applications (Cat. No.01CH37195).