Resources

  1. J. Zhao, S. Wang, N. Zhou, R. Huang, L. Mili and Z. Huang, “A New Multi-Scale State Estimation Framework for the Next Generation of Power Grid EMS,” 2019 IEEE PES General Meeting, Atlanta GA, USA, Aug. 4 -9, 2019.
  2. S. Akhlaghi, N. Zhou and Z. Huang, “A hybrid approach for estimating dynamic states of synchronous generators,” IET Generation, Transmission & Distribution, Vol. 13, no. 5, 2019.
  3. S. Akhlaghi, N. Zhou and Z. Huang, "A Multi-Model Adaptive Kalman Filtering Approach to Power System Dynamic State Estimation," 2019 IEEE PES General Meeting, Atlanta GA, USA, Aug. 4 -9, 2019.
  4. Z. Zheng, J. Zhao, L. Mili, Z. Liu, and S. Wang, “Unscented Kalman Filter-based Unbiased Minimum-Variance Estimation for Nonlinear Systems with Unknown Inputs,” IEEE SIGNAL PROCESSING LETTERS, 2019
  5.  X. Wang, J. Zhao, V. Terzija and S. Wang, "Fast Robust Power System Dynamic State Estimation using Model Transformation,” Submitted to International Journal of Electrical Power and Energy Systems, 2019.
  6. J. Zhao, Z Zheng, S. Wang, R. Huang, T. Bi, L Mili and Z. Huang, “Correlation-Aided Robust Decentralized Dynamic State Estimation of Power Systems with Unknown Control Inputs,” Submitted to IEEE transactions on Power Systems, 2019.
  7. S. Wang, R. Huang, Z. Huang and R. Fan, “A robust dynamic state estimation approach against model errors caused by load changes,” IEEE Transactions on power systems, vol. 35, no. 6, pp. 4518 - 4527, 2020.
  8. N. Zhou, S. Wang, J. Zhao and Z. Huang, “Application of Detectability Analysis for Power System Dynamic State Estimation,” IEEE Transactions on power systems, vol. 35, no. 4, pp. 3274-3277, 2020.
  9. J. Zhao, M. Netto, Z. Huang, S. Yu, S. Wang, A. Gómez-Expósito and I. Kamwa, et al, “Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation,” IEEE Transactions on power systems, Early Access, 2020.
  10. S. Wang, R. Huang, X. Ke, J. Zhao, R. Fan, H. Wang, Z. Huang, A. V. Sathanur and D. L. Vrabie, “Risk-Oriented PMU Placement Approach in Electric Power Systems,” IET Generation, Transmission and Distribution, vol. 14, no. 2:301-307, 2020.
  11. X. Wang, J. Zhao, V. Terzija and S. Wang, “Fast Robust Power System Dynamic State Estimation using Model Transformation,” International Journal of Electrical Power & Energy Systems, vol. 114, pp. 1-10, 2020.
  12. S. Wang, R. Huang, Y. Chen, Z. Huang, J. Zhao, L. Mili, and N. Zhou, “Implementation of State Estimation: A Multi-Scale Framework,” NASPI
  13. S. Wang, Z. Huang and R. Huang, “Power Plant Model Validation and Calibration,” 2019 PES General Meeting, Atlanta, Georgia.
  14. Z. Huang and S. Wang, “Non-Steady-State Start of Dynamic Security Assessment,” 2019 PES General Meeting, Atlanta, Georgia.
  15. Z. Huang, N. Zhou and S. Wang, “Data Assimilation Subject to Practical Imperfections,” Workshop on Distribution and Transmission System Monitoring, Boston, Ma, Massachusetts.
  16. S. Wang and Z. Huang, “Implementation of Non-Steady-State Start of Dynamic Security Assessment, ” IEEE PES General Meeting, 2020.
  17. J. Zhao, S. Wang, R. Huang, Y. Liu and Z. Huang, “Robust Adaptive Decentralized Dynamic State Estimation with Unknown Control Inputs using Field PMU Measurements,” IEEE PES General Meeting, 2020.
  18. S. Wang and Z. Huang, “EMS 2.0--A New Multi-Scale State Estimation Framework,” Patent, Submitted, 2020.