Shaobu Wang
Cited by
Cited by
Wide-area control of power systems through delayed network communication
S Wang, X Meng, T Chen
IEEE Transactions on Control Systems Technology 20 (2), 495-503, 2011
An alternative method for power system dynamic state estimation based on unscented transform
S Wang, W Gao, APS Meliopoulos
Power Systems, IEEE Transactions on 27 (2), 942-950, 2012
Assessing Gaussian assumption of PMU measurement error using field data
S Wang, J Zhao, Z Huang, R Diao
IEEE Transactions on Power Delivery 33 (6), 3233-3236, 2017
Identification of vulnerable lines in power grid based on complex network theory
X Chen, K Sun, Y Cao, S Wang
2007 IEEE power engineering society general meeting, 1-6, 2007
Roles of dynamic state estimation in power system modeling, monitoring and operation
J Zhao, M Netto, Z Huang, SS Yu, A Gómez-Expósito, S Wang, I Kamwa, ...
IEEE Transactions on Power Systems 36 (3), 2462-2472, 2020
Calibrating parameters of power system stability models using advanced ensemble Kalman filter
R Huang, R Diao, Y Li, J Sanchez-Gasca, Z Huang, B Thomas, P Etingov, ...
IEEE Transactions on Power Systems 33 (3), 2895-2905, 2017
Dynamic-Feature Extraction, Attribution, and Reconstruction (DEAR) Method for Power System Model Reduction
S Wang, S Lu, N Zhou, G Lin, M Elizondo, MA Pai
Power Systems, IEEE Transactions on, 1-11, 2014
Precise fault location on transmission lines using ensemble Kalman filter
R Fan, Y Liu, R Huang, R Diao, S Wang
IEEE transactions on power delivery 33 (6), 3252-3255, 2018
A robust state estimation framework considering measurement correlations and imperfect synchronization
J Zhao, S Wang, L Mili, B Amidan, R Huang, Z Huang
IEEE Transactions on Power Systems 33 (4), 4604-4613, 2018
Synchronized sampling technology-based compensation for network effects in WAMS communication
S Wang, W Gao, J Wang, J Lin
IEEE Transactions on Smart Grid 3 (2), 837-845, 2012
An innovative software tool suite for power plant model validation and parameter calibration using PMU measurements
Y Li, R Diao, R Huang, P Etingov, X Li, Z Huang, S Wang, ...
2017 IEEE Power & Energy Society General Meeting, 1-5, 2017
曹一家, 刘美君, 丁理杰, 陈晓刚, 孙可, 王绍部
电力系统及其自动化学报 19 (1), 1-8, 2007
Unscented Kalman filter-based unbiased minimum-variance estimation for nonlinear systems with unknown inputs
Z Zheng, J Zhao, L Mili, Z Liu, S Wang
IEEE Signal Processing Letters 26 (8), 1162-1166, 2019
On-line dynamic state estimation of power systems
W Gao, S Wang
North American Power Symposium 2010, 1-6, 2010
Correlation-aided robust decentralized dynamic state estimation of power systems with unknown control inputs
J Zhao, Z Zheng, S Wang, R Huang, T Bi, L Mili, Z Huang
IEEE Transactions on Power Systems 35 (3), 2443-2451, 2019
Capturing real-time power system dynamics: Opportunities and challenges
Z Huang, N Zhou, R Diao, S Wang, S Elbert, D Meng, S Lu
2015 IEEE Power & Energy Society General Meeting, 1-5, 2015
Dynamic Contingency Analysis Tool Phase 1
NA Samaan, JE Dagle, YV Makarov, R Diao, MR Vallem, TB Nguyen, ...
Pacific Northwest National Laboratory, Richland, Washington report-24843, 2015
Dynamic state estimation and parameter calibration of a DFIG using the ensemble Kalman filter
R Fan, Z Huang, S Wang, R Diao, D Meng
2015 IEEE Power & Energy Society General Meeting, 1-5, 2015
Transmission line fault location using deep learning techniques
R Fan, T Yin, R Huang, J Lian, S Wang
2019 North American Power Symposium (NAPS), 1-5, 2019
Capturing dynamics in the power grid: Formulation of dynamic state estimation through data assimilation
N Zhou, Z Huang, D Meng, ST Elbert, S Wang, R Diao
Pacific Northwest National Lab.(PNNL), Richland, WA (United States), 2014
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