Resources

  1. Shaobu Wang, Junbo Zhao, Zhenyu Huang, and Ruisheng Diao. "Assessing Gaussian Assumption of PMU Measurement Error Using Field Data." IEEE Transactions on Power Delivery. Volume: 33, issue: 6, pages: 3233-3236. 2018. doi:10.1109/TPWRD.2017.2762927
  2. Renke Huang, Ruisheng Diao, Yuanyuan Li, J. Sanche-Gasca, Zhengyu Huang, etal., “ Calibrating Parameters of Power System Stability Models Using Advanced Ensemble Kalman Filter,” IEEE transactions on power systems, vol. 33, no. 3, 2018 pp. 2895-2905, 2018.
  3. Shahrokh Akhlaghi, Ning Zhou, Zhenyu Huang, “A hybrid approach for estimating dynamic states of synchronous generators,” IET Generation, Transmission & Distribution, 13 (5):669-678. 2019. doi:10.1049/iet-gtd.2018.5074
  4. Shahrokh Akhlaghi, Ning Zhou, Zhenyu Huang, “A multi-step adaptive interpolation approach to mitigating the impact of nonlinearity on dynamic state estimation,” IEEE Transactions on Smart Grid, vol. 9, no. 4, pp. 3102-3111, Jul. 2018
  5. Renke Huang, Ruisheng Diao, Yuanyuan Li, Zhenyu Huang, at. al., “Calibrating Parameters of Power System Stability Models using Advanced Ensemble Kalman Filter”, IEEE Transactions on Power System, Volume: 33, Issue: 3, Page(s): 2895-2905, Oct. 2017.
  6. Shahrokh Akhlaghi, Ning Zhou, Zhenyu Huang, “Adaptive adjustment of noise covariance in Kalman filter for dynamic state estimation,” 2017 IEEE PES General Meeting, Chicago, IL, USA, July 16-20, 2017. (Best Conference Paper on Power System Modeling and Analysis).
  7. Yuanyuan Li, Ruisheng Diao, Renke Huang, Shaobu Wang, Zhenyu Huang, at. al., “An Innovative Software Tool Suite for Power Plant Model Validation and Parameter Calibration using PMU Measurements”, 2016 IEEE PES General Meeting, Denver, CO, USA, July 16-20, 2016. (Best Conference Paper on Power System Modeling and Analysis).
  8. Rui Fan, Zhenyu Huang, Shaobu Wang, Ruisheng Diao, Da Meng, “Dynamic State Estimation and Parameter Calibration of DFIG based on Ensemble Kalman Filter,” IEEE PES GM 2015.
  9. Zhenyu Huang, Ning Zhou, Ruisheng Diao, Shaobu Wang, Steve Elbert, Da Meng and Shuai Lu “Capturing real-time power system dynamics: opportunities and challenges,” IEEE PES GM 2015.
  10. Ning Zhou, Da Meng, Zhenyu Huang, and Greg Welch, “Dynamic State Estimation using PMU Data: A Comparative Study”, IEEE Transactions on Smart Grid, vol. 6, no. 1, pp. 450-460, Jan. 2015.
  11. Ning Zhou, Zhenyu Huang, Da Meng, Steve Elbert, Shaobu Wang, and Ruisheng Diao, “Capturing Dynamics in the Power Grid: Formulation of Dynamic State Estimation through Data Assimilation.” Technical Report PNNL-23213, Pacific Northwest National Laboratory, 2014.
  12. Jinghe Zhang, Greg Welch, Gary Bishop, and Zhenyu Huang, “A Two-Stage Kalman Filter Approach for Robust and Real-Time Power System State Estimation.” IEEE Transactions on Sustainable Energy, Volume: 5, Issue: 2, Page(s): 629 – 636, 2014.
  13. Ning Zhou, Zhenyu Huang, Greg Welch, and Jinghe Zhang, "Identifying optimal measurement subspace for ensemble Kalman filter," Electronics Letters, Volume: 48, Issue: 11, Page(s): 618 - 620, May 2012.
  14. Ning Zhou, Zhenyu Huang, Yulan Li, and Greg Welch, “Local Sequential Ensemble Kalman Filter for Simultaneously Tracking States and Parameters,” in: Proceedings of the 2012 North American Power Symposium, Urbana-Champaign, IL, USA, September 9-11, 2012.
  15. Zhenyu Huang, Ning Zhou, Yulan Li, Patrick Nichols, Shuangshuang Jin, Ruisheng Diao, Yousu Chen, “Dynamic Paradigm for Future Power Grid Operation”, in: Proceedings of the 8th IFAC 8th PP&PSC (Power Plant and Power Systems Control ) Symposium, Toulouse, France, September 2-5, 2012.
  16. Yulan Li, Zhenyu Huang, Ning Zhou, Barry Lee, Ruisheng Diao, and Pengwei Du, “Application of Ensemble Kalman Filter in Power System State Tracking and Sensitivity Analysis,” in: Proceedings of the 2012 IEEE Power and Energy Society Transmission and Distribution Conference and Exposition, Orlando, FL, May 7-10, 2012.
  17. K. P. Schneider, Zhenyu Huang, Bo Yang, M. Hauer, and J. Nieplocha, “Dynamic State Estimation Utilizing High Performance Computing Methods,” in: Proceedings of PSCE09 – the IEEE Power and Energy Society Power System Conference and Exposition 2009, Seattle, WA, March 15-18, 2009.
  18. Zhenyu Huang, Kevin Schneider, and Jarek Nieplocha. “Feasibility Studies of Applying Kalman Filter Techniques to Power System Dynamic State Estimation,” in: Proceedings of IPEC2007 – the 8th International Power Engineering Conference, Singapore, 3-6 December 2007.