The copyright for all papers that appeared in print belongs to the publisher.

Book Chapters

  1. Junbo Zhao and Massimo La Scala, “False Data Injection Attacks and Countermeasures for Wide Area Measurement System”, IET, 2016.
  2. Junbo Zhao, Lamine Mili, and Massimo La Scala, “A Robust Hybrid Power System State Estimator with Unknown Measurement Noise” for book “Advances in Electric Power and Energy: Static State Estimation“, Wiley IEEE Press, 2020.
  3. Yu Liu, Yuzhang Lin, and Junbo Zhao, “Advanced Grid Operational Tools Based on State Estimation,” for book “New Technologies for Power System Operation and Analysis”, Elsevier, 2020.
  4. Chunyu Chen, Junbo Zhao, Kaifeng Zhang, Yilong Liu and Yang Chen, “Hybrid Physics-Based and Data-driven Mitigation Strategy for Automatic Generation Control Under Cyber Attack,” for book “Power Systems Cybersecurity”, Springer, 2022.

    Journal Articles

              Cyber-Physical Power System Learning and Cybersecurity

    1. K. Ye, J. B. Zhao, H. Li, M. Gu, “A High Computationally Efficient Parallel Partial Gaussian Process for Large-scale Power System Probabilistic Transient Stability Assessment,” IEEE Trans. Power Systems, 2023.
    2. Y. Feng, V. Levi, D. Ćetenović, J. B. Zhao, P. Taylor, V. Terzija, “Primal-Dual Decomposed State Estimation for Multi-Energy Systems Leveraging Variational Bayesian Approximation,” IEEE Trans. Smart Grid, 2023.
    3. Y. Pei, J. B. Zhao, Y. Yao, F. Ding, “Multi-Task Reinforcement Learning for Distribution System Voltage Control With Topology Changes,” IEEE Trans. Smart Grid, vol. 14, no. 3, pp. 2481-2484, 2023.
    4. T. Su, J. B. Zhao, Y. Pei, F. Ding, “Probabilistic Physics-Informed Graph Convolutional Network for Active Distribution System Voltage Prediction,” IEEE Trans. Power Systems, vol. 38, no. 6, pp. 5969-5972, 2023.
    5. X. Lei, Z. Yang, J. B. Zhao, J. Yu, W. Li, “Surrogate Formulation for Chance-Constrained DC Optimal Power Flow with Affine Control Policy,” IEEE Trans. Power Systems, 2023.
    6. Y. Chen, Y. Liu, J. B. Zhao, G. Qiu, H. Yin, Z. Li, “Physical-Assisted Multi-agent Graph Reinforcement Learning Enabled Fast Voltage Regulation for PV-rich Active Distribution Network,” Applied Energy, vol. 1, no. 121743, 2023.
    7. Z. Chen, H. Liu, J. B. Zhao, T. Bi, “Real-Time Event Detection Based on STA/LTA Method Using Field Synchrophasor Measurements,” IEEE Trans. Power Delivery, 2023.
    8. M. Gao, J. Yu, Z. Yang, J. B. Zhao, “Physics Embedded Graph Convolution Neural Network for Power Flow Calculation Considering Uncertain Injections and Topology,” IEEE Trans. Neural Networks and Learning Systems, 2023.
    9. J. Zhang, J. B. Zhao, J. Yang, J. H. Zhao, “Deep Multi-fidelity Bayesian Data Fusion for Probabilistic Distribution System Voltage Estimation with High Penetration of PVs,” IEEE Trans. Power Systems, 2023.
    10. D. Cao, J. B. Zhao, W. Hu, N. Yu, Z. Chen, Q. Huang, “Physics-informed Graphical Learning and Bayesian Averaging for Robust Distribution State Estimation,” IEEE Trans. Power Systems, 2023.
    11. G. Zhang, J. B. Zhao, W. Hu, D. Cao, I. Kamwa, N. Duan, Z. Chen, “A Multi-Agent Deep Reinforcement Learning Enabled Dual Branch Damping Controller for Multi-Mode Oscillation“, IEEE Trans. Control Systems Technology, vol. 31, no. 1, pp. 483-492, 2023.
    12. B. Tan, J. B. Zhao, “Debiased Uncertainty Quantification Approach for Probabilistic Transient Stability Assessment,” IEEE Trans. Power Systems, vol. 38, no. 5, pp. 4954-4957, 2023.
    13. T. Su, J. B. Zhao, X. Chen, “Deep Sigma Point Processes-Assisted Chance-Constrained Power System Transient Stability Preventive Control,” IEEE Trans. Power Systems, 2023.
    14. B. Tan, J. B. Zhao, D. Nan, “Amortized Bayesian Parameter Estimation Approach for WECC Composite Load Model,” IEEE Trans. Power Systems, 2023.
    15. D. Cao, J. B. Zhao, W. Hu, Y. Pei, Z. Chen, Q. Huang, “Physics-informed Graphical Representation-enabled Deep Reinforcement Learning for Robust Distribution System Voltage Control,” IEEE Trans. Smart Grid, 2023.
    16. Y. Liang, J. B. Zhao, D. Srinivasan, “Temporally-adaptive Robust Data-driven Sparse Voltage Sensitivity Estimation for Large-scale Realistic Distribution Systems with PVs,” IEEE Trans. Power Systems, vol. 38, no. 4, pp. 3977-3980, 2023.
    17. G. Chen, Y. Lin, J. Yan, J. B. Zhao, L. Bai, “Model-Measurement Data Integrity Attacks,” IEEE Trans. Smart Grid, vol. 14, no. 6, pp.  4741-4757, 2023.
    18. J. Ling, Z. Yang, J. B. Zhao, J. Yu, “Modular Linear Power Flow Model Against Large Fluctuations,” IEEE Trans. Power Systems, 2023.
    19. M. Gao, J. Yu, Z. Yang, J. B. Zhao, “A Physics-Guided Graph Convolution Neural Network for Optimal Power Flow,” IEEE Trans. Power Systems, 2023.
    20. G. Zhang, J. B. Zhao, W. Hu, D. Cao, B. Tan, Q. Huang, Z. Chen, “A Novel Data-Driven Self-Tuning SVC Additional Fractional-Order Sliding Mode Controller for Voltage Stability with Wind Generations,” IEEE Trans. Power Systems, vol. 38, no. 6, pp. 5755-5767, 2023.
    21. B. Tan, J. B. Zhao, L. Xie, “Transferable Deep Kernel Emulator for Probabilistic Load Margin Assessment With Topology Changes, Uncertain Renewable Generations and Loads,” IEEE Trans. Power Systems, vol. 38, no. 6, pp. 5740-5754, 2023.
    22. Y. Liang, J. B. Zhao, D. Kumar, K. Ye, D. Srinivasan, “Robust Data-driven Sparse Estimation of Distribution Factors Considering PMU Data Quality and Renewable Energy Uncertainty – Part I: Theory,” IEEE Trans. Power Systems, vol. 38, no. 5, pp. 4800-4812, 2023.
    23. Y. Liang, J. B. Zhao, D. Kumar, K. Ye, D. Srinivasan, “Robust Data-driven Sparse Estimation of Distribution Factors Considering PMU Data Quality and Renewable Energy Uncertainty – Part II: Scalability and Applications,” IEEE Trans. Power Systems, vol. 38, no. 5, pp. 4813-4825, 2023.
    24. K. Ye, J. B. Zhao, N. Duan, Y. Zhang, “Physics-Informed Sparse Gaussian Process for Probabilistic Stability Analysis of Large-Scale Power System with Dynamic PVs and Loads,” IEEE Trans. Power Systems, vol. 38, no. 3, pp. 2868-2879, 2023. (2023 IEEE PES Technical Committee Prize Paper Award)
    25. R. Fan, R. Huang, S. Wang, J. B. Zhao, “Wavelet and Deep-Learning-Based Approach for Generation System Problematic Parameters Identification and Calibration,” IEEE Trans. Power Systems, vol. 38, no. 4, pp. 3787-3798, 2023.
    26. Y. Liu, P. Ren, J. B. Zhao, J. Liu, “Real-time Topology Estimation for Active Distribution System using Graph-bank Tracking Bayesian Networks,” IEEE Trans. Industrial Informatics, vol. 19, no. 4, pp. 6127-6137, 2023.
    27. D. Cao, J. B. Zhao, W. Hu, Z. Chen,  “Topology Change Aware Data-Driven Probabilistic Distribution State Estimation Based on Gaussian Process,” IEEE Trans. Smart Grid, vol. 14, no. 2, pp. 1317-1320, 2023.
    28. K. Ye, J. B. Zhao, N. Duan, D. Maldonado, “Stochastic Power System Dynamic Simulation and Stability Assessment Considering Dynamics from Correlated Loads and PVs,” IEEE Trans. Industry Applications, vol. 58, no. 6, pp. 7764-7775, 2022.
    29. Y. Liu, Z. Li, J. B. Zhao, “Robust Data-Driven Linear Power Flow Model With Probability Constrained Worst-Case Errors,” IEEE Trans. Power Systems, vol. 37, no. 5, pp. 4113-4116, 2022.
    30. K. Ye, J. B. Zhao, H. Zhang, Y. Zhang, “Data-Driven Probabilistic Voltage Risk Assessment of MiniWECC System with Uncertain PVs and Wind Generations using Realistic Data,” IEEE Trans. Power Systems, vol. 37, no. 5, pp. 4121-4124, 2022.
    31. H. Liu, S. Liu, J. B. Zhao, T. Bi, X. Yu, “Dual-Channel Convolutional Network-Based Fault Cause Identification for Active Distribution System Using Realistic Waveform Measurements,” IEEE Trans. Smart Grid, vol. 13, no. 6, pp. 4899-4908, 2022.
    32. Q. Li, J. Zhang, J. B. Zhao, X. Ye, W. Song, F. Li, “Adaptive Hierarchical Cyber Attack Detection and Localization in Active Distribution Systems,” IEEE Trans. Smart Grid, vol. 13, no. 3, pp. 2369-2380, 2022.
    33. X. Lei, Z. Yang, J. B. Zhao, J. Yu, “Data-Driven Assisted Chance-Constrained Energy and Reserve Scheduling with Wind Curtailment,” Applied Energy, vol. 321, no. 1, 2022.
    34. P. Wang, J. B. Zhao, D. Srinivasan, S. Zou, G. Wang, Z. Ma, “Data-driven Energy Management in Residential Areas Leveraging Demand Response,” Energy & Buildings, 2022.
    35. C. Chen, M. Cui, J. B. Zhao, W. Bi, X. Zhang, “Data-Driven Detection of Stealthy False Data Injection Attack Against Power System State Estimation,” IEEE Trans. Industrial Informatics, vol. 18, no. 12, pp. 8467-8476, 2022.
    36. D. Cao, J. B. Zhao, W. Hu, Y. Zhang, Z. Chen, F. Blaabjerg, “Robust Deep Gaussian Process Probabilistic Electrical Load Forecasting Method Under Anomalous Conditions,” IEEE Trans. Industrial Informatics, vol. 18, no. 2, pp. 1142-1153, 2022.
    37. T. Su, Y. Liu, J. B. Zhao, J. Liu, “Deep Belief Network Enabled Surrogate Modeling for Fast Preventive Control of Power System Transient Stability,” IEEE Trans. Industrial Informatics, vol. 18, no. 1, pp. 315-326, 2022.
    38. Z. Li, H. Liu, J. B. Zhao, T. Bi, Q. Yang, “A Power System Disturbance Classification Method Robust to PMU Data Quality Issues,” IEEE Trans. Industrial Informatics, vol. 18, no. 1, pp. 130-142, 2022.
    39. R. Yohanandhan, R. Madurai Elavarasan, R. Pugazhendhi, P. Manoharan, L. Mihet-Popa, J. B. Zhao, V. Terzija, “A Specialized Review on Outlook of Future Cyber-Physical Power System (CPPS) Testbeds for Securing Electric Power Grid,” International Journal of Electrical Power & Energy Systems, vol. 136, no. 107720, 2022.
    40. G. Chen, Y. Lin, J. B. Zhao, J. Yan, “A Highly Discriminative Detector against False Data Injection Attacks in AC State Estimation,” IEEE Trans. Smart Grid, vol. 13, no. 3, pp. 2318-2330, 2022.
    41. D. Cao, J. B. Zhao, W. Hu, F. Ding, N. Yu, Q. Huang, Z. Chen, F. Blaabjerg, “Model-Free Voltage Control of Active Distribution System with PVs using Surrogate Model-based Deep Reinforcement Learning,” Applied Energy, vol. 306, no. 117982, 2022.
    42. J. Liu, Z. Yang, J. B. Zhao, J. Yu, B. Tan, W. Li, “Explicit Data-Driven Small-Signal Stability Constrained Optimal Power Flow,” IEEE Trans. Power Systems, vol. 37, no. 5, pp. 3726-3737, 2022.
    43. D. Cao, J. B. Zhao, W. Hu, N. Yu, F. Ding, Q. Huang, Z. Chen, “Deep Reinforcement Learning Enabled Physical-Model-Free Two-Timescale Voltage Control Method for Active Distribution Systems,” IEEE Trans. Smart Grid, vol. 13, no. 1, pp. 149-165, 2022.
    44. S. Khazeiynasab, J. B. Zhao, I. Batarseh, B. Tan, “Power Plant Model Parameter Calibration Using Conditional Variational Autoencoder“, IEEE Trans. Power Systems, vol. 37, no. 2, pp. 1642-1652, 2022.
    45. J. Khazaei, M. Alkaf, J. B. Zhao, “Convex Optimization of Cyberattacks Overflowing Multiple Lines in Cyber-Physical Power Systems,” IEEE System Journal, vol. 16, no. 4, pp. 5224-5233, 2022.
    46. C. Chen, X. Zhang, K. Zhang, M. Cui, J. B. Zhao, F. Li, “Stability Assessment of Secondary Frequency Control System With Dynamic False Data Injection Attacks“, IEEE Trans. Industrial Informatics, vol. 18, no. 5, pp. 3224-3234, 2022.
    47. H. Song, Y. Liu, J. B. Zhao, J. Liu, G. Wu, “Prioritized Replay Dueling DDQN Based Grid-Edge Control of Community Energy Storage System,” IEEE Trans. Smart Grid, vol. 12, no. 6, pp. 4950-4961, 2021.
    48. K. Ye, J. B. Zhao, F. Ding, R. Yang, C. Xiao, G. Dobbins, “Global Sensitivity Analysis of Large Distribution System with PVs using Deep Gaussian Process,” IEEE Trans. Power Systems, vol. 36, no. 5, pp. 4888-4891, 2021.
    49. D. Cao, J. B. Zhao, W. Hu, F. Ding, Q. Huang, Z. Chen, F. Blaabjerg, “Data-Driven Multi-agent Deep Reinforcement Learning for Distribution System Decentralized Voltage Control with High Penetration of PVs,” IEEE Trans. Smart Grid, vol. 12, no. 5, pp. 4137-4150, 2021.
    50. K. Ye, J. B. Zhao, C. Huang, N. Duan, Y. Zhang, T. Field, “A Data-Driven Global Sensitivity Analysis Framework for Three-Phase Distribution System with PVs,” IEEE Trans. Power Systems, vol. 36, no. 5, pp. 4809-4819, 2021.
    51. Z. Li, H. Liu, J. B. Zhao, T. Bi, Q. Yang, “Fast Power System Event Identification using Enhanced LSTM Network with Renewable Energy Integration,” IEEE Trans. Power Systems, vol. 36, no. 5, pp. 4492-4502, 2021.
    52. X. Wang, Y. Liu, J. B. Zhao, C. Liu, J. Liu, J. Yan, “Surrogate Model Enabled Deep Reinforcement Learning for Hybrid Energy Community Operation,” Applied Energy, vol. 289, no. 116722, 2021.
    53. G. Zhang, W. Hu, J. B. Zhao, D. Cao, Z. Chen, F. Blaabjerg, “A Novel Deep Reinforcement Learning Enabled Multi-band PSS for Multi-Mode Oscillation Control,” IEEE Trans. Power Systems, vol. 36, no. 4, pp. 3794-3797, 2021.
    54. C. Chen, Y. Chen, J. B. Zhao, K. Zhang, M. Ni, B. Ren, “Data-Driven Resilient Automatic Generation Control Against False Data Injection Attacks“, IEEE Trans. Industrial Informatics, vol. 17, no. 2, pp. 8092-8101, 2021.
    55. D. Cao, J. B. Zhao, W. Hu, F. Ding, Q. Huang, Z. Chen, “Attention Enabled Multi-agent DRL for Decentralized Volt-VAR Control of Active Distribution System Using PV Inverters and SVCs,” IEEE Trans. Sustainable Energy, vol. 12, no. 3, pp. 1582-1592, 2021.
    56. Q. Gao, Y. Liu, J. B. Zhao, J. Liu, C. Y. Chung, “Hybrid Deep Learning for Dynamic Total Transfer Capability Control“, IEEE Trans. Power Systems, vol. 36, no. 3, pp. 2733-2736, 2021.
    57. X. Lei, Z. Yang, J. Yu, J. B. Zhao, Q. Gao, H. Yu, “Data-driven Optimal Power Flow: A Physics-Informed Machine Learning Approach,” IEEE Trans. Power Systems, vol. 36, no. 1, pp. 346-354, 2021. (2022 IEEE Transactions on Power Systems Best Paper)
    58. J. Li, D. Deng, J. B. Zhao, et. al, “A novel hybrid short-term load forecasting method of smart grid using MLR and LSTM neural network,” IEEE Transactions on Industrial Informatics, vol. 17, no. 4, pp. 2443-2452, 2021. (Highly Cited Paper according to Web of Science since March 2023)
    59. L. Zhao, Y. Liu, J. B. Zhao, Y. Zhang, L. Xu, J. Liu, “Robust PCA-Deep Belief Network Surrogate Model for Distribution System Topology Identification with DERs“, International Journal of Electrical Power & Energy Systems, vol. 125 (106441), 2021.
    60. T. Ding, Z. Zeng, B. Qin, J. B. Zhao, Y. Yang, F. Blaabjerg, and Z. Dong, “Quantifying Cyber Attacks on Industrial MMC-HVDC Control System Using Structured Pseudospectrum,” IEEE Trans. Power Electronics, vol. 36, no. 5, pp. 4915-4920, 2021.
    61. H. Liu, Y. Qi, J. B. Zhao, T. Bi, “Data-Driven Subsynchronous Oscillation Identification Using Field Synchrophasor Measurements,” IEEE Trans. Power Delivery, vol. 37, no. 1, pp. 165-175, 2022.
    62. T. Su, Y. Liu, J. B. Zhao, J. Liu, “Probabilistic Stacked Denoising Autoencoder for Power System Transient Stability Prediction with Wind Farms“, IEEE Trans. Power Systems, vol. 36, no. 4, pp. 3786-3789, 2021.
    63. G. Qiu, Y. Liu, J. B. Zhao, J. Liu, L. Wang, T. Liu, H. Gao, “Analytic Deep Learning-based Surrogate Model for Operational Planning with Dynamic TTC Constraints,” IEEE Trans. Power Systems, vol. 36, no. 4, pp. 3507-3519, 2021.
    64. D. Cao, W. Hu, J. B. Zhao, G. Zhang, B. Zhang, Z. Liu, Z. Chen, F. Blaabjerg, “Reinforcement Learning and its Applications in Modern Power and Energy Systems: A Review,” Journal of Modern Power Systems and Clean Energy, vol. 8, no. 6, pp. 1029-1042, 2020 (2020 Best Paper Award).
    65. D. Cao, W. Hu, J. B. Zhao, Q. Huang, Z. Chen, F. Blaabjerg, “A multi-agent deep reinforcement learning based voltage regulation using coordinated PV inverters,” IEEE Trans. Power Systems, vol. 35, no. 5, pp. 4120-4123, 2020.
    66. Y. Liu, J. B. Zhao, X. Liu, Tingjian Liu, Gao Qiu, J. Liu, ”Online TTC Estimation using Nonparametric Analytics Considering Wind Energy Integration,” IEEE Trans. Power Systems, vol. 34, no. 1, pp. 494-505, 2019.
    67. L Che, X Liu, Z Shuai, J. B. Zhao, “The Impact of Ramp-Induced Data Attacks on Power System Operational Security,” IEEE Trans. Industrial Informatics, vol. 15, no. 9, pp. 5064-5075, 2019.
    68. B. Li, T. Ding, C. Huang, J. B. Zhao, Yongheng Yang, Ying Chen, “Detecting False Data Injection Attacks Against Power System State Estimation with Fast Go-Decomposition (GoDec) Approach,” IEEE Trans. Industrial Informatics, vol. 15, no. 5, pp. 2892-2904, 2019.
    69. J. B. Zhao, L. Mili, M. Wang, “A Generalized False Data Injection Attacks Against Power System Nonlinear State Estimator and Countermeasures,” IEEE Trans. Power Systems, vol. 33, no. 5, pp. 4868-4877, 2018.
    70. X. Wei, J. B. Zhao, T. Huang, E. Bompard, “A Novel Cascading Faults Graph Based Transmission Network Vulnerability Assessment Method,” IEEE Trans. Power Systems, vol. 33, no. 3, pp. 2995-3000, 2018.
    71. J. B. Zhao, G. X. Zhang, R. Jabr, “Robust Detection of Cyber Attacks on State Estimators Using Phasor Measurements“, IEEE Trans. Power Systems, vol. 32, no. 3, pp. 2468-2470, 2017.
    72. J. B. Zhao, G. X. Zhang, M. La Scala, Z. Dong, C. Chen, J. Wang, “Short-Term State Forecasting-Aided Method for Detection of Smart Grid General False Data Injection Attacks“, IEEE Trans. Smart Grid, vol. 8, no. 4, pp. 1580-1590, 2017. (One of the most popular papers on July, August 2017)
    73. J. B. Zhao, G. X. Zhang, Z.Y.Dong, K.P. Wong, ” Forecasting-Aided Imperfect False Data Injection Attacks Against Power System Nonlinear State Estimation“, IEEE Trans. Smart Grid, vol. 7, no. 1, pp. 6-8, 2016.

      Robust Statistical Signal Processing

    74. Z. Zheng, J. B. Zhao, L. Mili, Z. Liu, “Robust Unscented Unbiased Minimum-Variance Estimator for Nonlinear System Dynamic State Estimation with Unknown Inputs,” IEEE Signal Processing Letters, vol. 27, pp. 376-380, 2020.
    75. Z. Zheng, Z. Liu, J. B. Zhao, “Bias-Compensated Sparsity-Aware NLMM Algorithms for Robust Adaptive Echo Cancellation,” IEEE Trans. Circuits and Systems I: Regular Papers, vol. 67, no. 7, pp. 2383-2396, 2020.
    76. J. B. Zhao, L. Mili, “A Theoretical Framework of Robust H-infinity Unscented Kalman Filter and Its Application to Power System Dynamic State Estimation,” IEEE Trans. Signal Processing, vol. 67, no. 10, pp. 2734-2746, 2019.
    77. Z. Zheng, J. B. Zhao, L. Mili, Z. Liu, S. Wang, “Unscented Kalman Filter-based Unbiased Minimum-Variance Estimation for Nonlinear Systems with Unknown Inputs,” IEEE Signal Processing Letters, vol. 26, no. 8, pp. 1162-1166, 2019.
    78. J. B. Zhao, L. Mili, “A Decentralized H-infinity Unscented Kalman Filter for Dynamic State Estimation Against Uncertainties,” IEEE Trans. Smart Grid, vol. 10, no. 5, pp. 4870-4880, 2019.
    79. J. B. Zhao, L. Mili, “A Robust Generalized-Maximum Likelihood Unscented Kalman Filter for Power System Dynamic State Estimation,” IEEE Journal of Selected Topics in Signal Processing, vol. 12, no. 4, pp. 578-592, 2018.
    80. J. B. Zhao, “Dynamic State Estimation with Model Uncertainties Using H-infinity Extended Kalman Filter“, IEEE Trans. Power Systems, vol. 33, no. 1, pp. 1099-1100, 2018.
    81. Y. Xu, L. Mili, J. B. Zhao, “A Novel Polynomial-Chaos-based Kalman Filter,” IEEE Signal Processing Letters, vol. 26, no. 1, pp. 9-13, 2018.
    82. J. B. Zhao, L. Mili, “Power System Robust Decentralized Dynamic State Estimation Based on Multiple Hypothesis Testing,” IEEE Trans. Power Systems, vol. 33, no. 4, pp. 4553-4562, 2018.

      Power System Estimation and Dynamics

    83. Y. Liu, A. K. Singh, J. B. Zhao (TF Chair), A. P. Meliopoulos, B. Pal, M. A. M. Ariff, T. Van Cutsem, M. Glavic, Z. Huang, I. Kamwa, L. Mili, A. Saleem Mir, A. Taha, V. Terzija, S. Yu, “Dynamic State Estimation for Power System Control and Protection,” IEEE Trans. Power Systems, vol. 36, no. 6, pp. 5909-5921, 2021.
    84. J. B. Zhao (TF Chair), M. Netto, Z. Huang, S. Yu, A. Exposito, S. Wang, I. Kamwa, S. Akhlaghi, L. Mili, V. Terzija, A. P. Sakis Meliopoulos, B. Pal, A. K. Singh, A. Abur, T. Bi, A. Rouhani, ”Roles of Dynamic State Estimation in Power System Modeling, Monitoring and Operation,” IEEE Trans. Power Systems, vol. 36, no. 3, pp. 2462-2472, 2021. (2022 IEEE Transactions on Power Systems Best Paper)
    85. J. B. Zhao (TF Chair), A. Exposito, M. Netto, L. Mili, A. Abur, V. Terzija, I. Kamwa, B. Pal, A. K. Singh, J. Qi, Z. Huang, A. P. Sakis Meliopoulos, ”Power System Dynamic State Estimation: Motivations, Definitions, Methodologies and Future Work,” IEEE Trans. Power Systems, vol. 34, no. 4, pp. 3188-3198, 2019. (2021 IEEE Transactions on Power Systems Best Paper and Highly Cited Paper according to Web of Science since March 2021)
    86. B. Tan, J. B. Zhao, M. Netto, “A General Decentralized Dynamic State Estimation with Synchronous Generator Magnetic Saturation,” IEEE Trans. Power Systems, vol. 38, no. 1, pp. 960-963, 2023.
    87. J. Im, J. Ban, Y. J. Kim, J. B. Zhao, “PMU-based Distributed State Estimation to Enhance the Numerical Stability Using Equality Constraints,” IEEE Trans. Power Systems, 2023.
    88. B. Tan, J. B. Zhao, “Data-driven Time-varying Inertia Estimation of Inverter-based Resources,” IEEE Trans. Power Systems, vol. 38, no. 2, pp. 1795-1798, 2023.
    89. T. Zhang, W. Zhang, Q. Zhao, Z. Li, J. B. Zhao, “Forecasting-aided Joint Topology/State Estimation for Distribution Systems via Bayesian Non-parametric Modeling,” IEEE Trans. Smart Grid, 2023.
    90. M. Zhu, H. Liu, J. B. Zhao, B. Tan, T. Bi, S. Yu, “Adaptive Interpolation Cubature Kalman Filter-based Dynamic State Estimator for DFIG with Unknown Inputs,” Journal of Modern Power Systems and Clean Energy, 2023.
    91. B. Tan, J. B. Zhao, N. Duan, D. Adrian Maldonado, Y. Zhang, H. Zhang, M. Anitescu, “Distributed Frequency Divider for Power System Bus Frequency Online Estimation Considering Virtual Inertia from DFIGs,” IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol. 12, no. 1, pp. 161-171, 2022.
    92. Z. Xu, W. Jiang, J. Xu, L. Wu, M. Wang, J. Chen, Y. Chen, J. B. Zhao, “Distribution Network Topology Identification Using Smart Meter Data and Considering the Same-Bus-Different-Feeder Condition,” IEEE Trans. Industrial Informatics, 2022.
    93. S. A. Nugroho, A. Taha, N. Gatsis, J. B. Zhao, “Observers for Differential Algebraic Equation Models of Power Networks: Jointly Estimating Dynamic and Algebraic States,” IEEE Trans. Control of Network Systems, vol. 9, no. 3, pp. 1531-1543, 2022.
    94. M. Huang, J. B. Zhao, Z. Wei, M. Pau, G. Sun, “Decentralized Robust State Estimation for Hybrid AC-DC Distribution Systems with Smart Meters“, International Journal of Electrical Power & Energy Systems, vol. 136, no. 107656, 2022.
    95. S. Wang, R. Huang, N. Zhou, J. B. Zhao, Z. Huang, “Test for Non-synchronized Errors of State Estimation using Real Data,” IEEE Trans. Power Systems, vol. 37, no. 4, pp. 3161-3164, 2022.
    96. H. Kong, M. Lu, L. Que, F. Xu, J. B. Zhao, A. Xue, “A new four-step method to identify the parameters of transmission line based on SCADA data,” IET Generation, Transmission & Distribution, vol. 16, pp. 1822–1835, 2022.
    97. A. Xue, H. Kong, F. Xu, J. B. Zhao, N. Chang, J. Chow, H. Hong, “Robust Correction of Time-Varying PMU Phase Angle Deviation with Unknown Transmission Line Parameters,” CSEE Journal of Power and Energy Systems, 2022.
    98. Z. Jin, J. B. Zhao, L. Ding, S. Chakrabarti, E. Gryazina, V. Terzija, “Power System Anomaly Detection using Innovation Reduction Properties of Iterated Extended Kalman Filter“, International Journal of Electrical Power & Energy Systems, vol. 136, no. 107613, 2022.
    99. N. Zhou. S. Wang, J. B. Zhao, Z. Huang, R. Huang, “Observability and Detectability Analyses for Dynamic State Estimation of the Marginally Observable Model of a Synchronous Machine“, IET Generation, Transmission and Distribution, vol. 16, no. 7, pp. 1373-1384, 2022.
    100. B. Wang, Y. Liu, K. Yue, D. Lu, J. B. Zhao, “Improved Dynamic State Estimation Based Protection on Transmission Lines in MMC-HVDC Grids“, IEEE Trans. Power Delivery, vol. 37, no. 5, pp. 3567-3581, 2022.
    101. B. Tan, J. B. Zhao, M. Netto, V. Krishnan, V. Terzija, Y. Zhang, “Power System Inertia Estimation: Review of Methods and the Impacts of Converter-Interfaced Generations,” International Journal of Electrical Power & Energy Systems, vol. 134, no. 107362, 2022 (2023 Best Paper Award-only 5 papers are selected out of the 1500 publications in the past 2 years)
    102. J. Ban, J. Im, Young-Jin Kim, J. B. Zhao, “Decentralization of Phasor-aided State Estimation Using Local State Vector Extension,” IEEE Trans. Power Systems, vol. 36, no. 5, pp. 4645-4659, 2021.
    103. D. Cetenovic, A. Ranković, J. B. Zhao, Z. Jin, J. Wu, V. Terzija, “An Adaptive Method for Tuning Process-Noise Covariance Matrix in EKF-based Three-Phase Distribution System State Estimation,” International Journal of Electrical Power & Energy Systems, vol. 132, no. 107192, 2021.
    104. L. Peng, J. B. Zhao, Y. Tang, L. Mili, Z. Gu, Z. Zheng, “Real-time LCC-HVDC Maximum Emergency Power Capacity Estimation Based on Local PMUs,” IEEE Trans. Power Systems, vol. 36, no. 2, pp. 1049-1058, 2021.
    105. T. Zhang, W. Zhang, Q. Zhao, X. Du, J. Chen, J. B. Zhao, “Distributed Real-time State Estimation for Combined Heat and Power Systems,” Journal of Modern Power Systems and Clean Energy, vol. 9, no. 2, pp. 316-327, 2021.
    106. N. Zhou, S. Wang, J. B. Zhao, Z. Huang, “Application of Detectability Analysis for Power System Dynamic State Estimation“, IEEE Trans. Power Systems, vol. 35, no. 4, pp. 3274-3277, 2020.
    107. Z. Jin, J. B. Zhao, S. Chakrabarti, L. Ding, V. Terzija, “A Hybrid Robust Forecasting-Aided State Estimator Considering Bimodal Gaussian Mixture Measurement Errors,” International Journal of Electrical Power & Energy Systems, vol. 120 (105962), 2020.
    108. J. B. Zhao, Z. Zheng, S. Wang, et. al, “Correlation-Aided Robust Decentralized Dynamic State Estimation of Power Systems with Unknown Control Inputs,” IEEE Trans. Power Systems, vol. 35, no. 3, pp. 2443-2451, 2020.
    109. M. Huang, Z. Wei, J. B. Zhao, R. Jabr, M. Pau, G. Sun, “Robust Ensemble Kalman Filter for Medium Voltage Distribution System State Estimation“, IEEE Transactions on Instrumentation and Measurement, vol. 69, no. 7, pp. 4114-4124, 2020.
    110. X. Wang, J. B. Zhao, V. Terzija, S. Wang, “Fast robust power system dynamic state estimation using model transformation,” International Journal of Electrical Power & Energy Systems, vol. 114, 105390, 2020.
    111. J. B. Zhao, L. Mili, A. Exposito, “Constrained Robust Unscented Kalman Filter for Generalized Dynamic State Estimation,” IEEE Trans. Power Systems, vol. 34, no. 5, pp. 3637-3646, 2019.
    112. J. B. Zhao, L. Mili, “Robust Unscented Kalman Filter for Power System Dynamic State Estimation with Unknown Noise Statistics,” IEEE Trans. Smart Grid, vol. 10, no. 2, pp. 1215-1224, 2019. (Highly Cited Paper-July 2019-present)
    113. J. B. Zhao, L. Mili, R. C. Pires, ”Statistical and Numerical Robust State Estimator for Heavily Loaded Power Systems,” IEEE Trans. Power Systems, vol. 33, no. 6, 6904-6914, 2018.
    114. J. B. Zhao, L. Mili, “Vulnerability of the Largest Normalized Residual Statistical Test to Leverage Points,” IEEE Trans. Power Systems, vol. 33, no. 4, pp. 4643-4646, 2018.
    115. J. B. Zhao, S. Wang, L. Mili, R. Huang, Z. Huang, “A Robust State Estimation Framework Considering Measurement Correlations and Imperfect Synchronization,” IEEE Trans. Power Systems, vol. 33, no. 4, pp. 4604-4613, 2018.
    116. J. B. Zhao, L. Mili, “A Framework for Robust Hybrid State Estimation with Unknown Measurement Noise Statistics,” IEEE Trans. Industrial Informatics, vol. 14, no. 5, pp. 1866-1875, 2018.
    117. J. B. Zhao, L. Mili, “Sparse State Recovery vs Generalized Maximum-likelihood Estimator of a Power System,” IEEE Trans. Power Systems, vol. 33, no. 1, pp. 1104-1106, 2018.
    118. J. B. Zhao, G. X. Zhang, M. L. Scala, Z. Wang, “Enhanced Robustness of State Estimator to Bad Data Processing Through Multi-Innovation Analysis“, IEEE Trans. Industrial Informatics, vol. 13, no. 4, pp. 1610-1619, 2017.
    119. J. B. Zhao, G. X. Zhang, Z. Dong, M. La Scala, “Robust Forecasting Aided Power System State Estimation Considering State Correlations“, IEEE Trans. Smart Grid, vol. 9, no. 4, pp. 2658-2666, 2018.
    120. J. B. Zhao, M. Netto, L. Mili, “A Robust Iterated Extended Kalman Filter for Power System Dynamic State Estimation“, IEEE Trans. Power Systems, vol. 32, no. 4, pp. 3205-3216, 2017. (One of the most popular paper in June 2017, Top 6 popular papers in July 2017, Top 9 popular paper in August 2017, Top 15 popular on September and October, Top 28 in November 2017)-Highly Cited Paper
    121. J. B. Zhao, “Power System Dynamic State Estimation Considering Measurement Correlations“, IEEE Trans. Energy Conversion, vol. 32, no. 4, pp. 1630-1632, 2017.
    122. J. B. Zhao, G. X. Zhang, K. Das, G.N. Korres, N.M. Manousakis, A. K. Sinha, Z.Y. He, “Power System Real-Time Monitoring by Using PMU-Based Robust State Estimation Method,” IEEE Trans. Smart Grid, vol. 7, no. 1, pp. 300-309, 2016. (One of the most popular papers on December 2016, January, August 2017)

      Power System Modeling, Operation, Resilience, Stability, and Control

    123. J. Qiu, J. H. Zhao, F. Wen, J. B. Zhao, C. Gao, Y. Zhou, Y. Tao, S. Lai, “Challenges and Pathways of Low-carbon Oriented Energy Transition and Power System Planning Strategy: A Review”, IEEE Trans. Network Science and Engineering, 2023.
    124. J. Liu, C. Wang, J. B. Zhao, B. Tan, T. Bi, “Simplified Transient Model of DFIG Wind Turbine for Power System Frequency Dynamics Analysis,” IEEE Trans. Power Systems, 2023.
    125. Y. Liu, Z. Li, J. B. Zhao, “Safety-Constrained Stagewise Optimization of Droop Control Parameters for Isolated Microgrids,” IEEE Trans. Smart Grid, 2023.
    126. J. Liu, C. Wang, J. B. Zhao, T. Bi, “RoCoF Constrained Unit Commitment Considering Spatial Difference in Frequency Dynamics,” IEEE Trans. Power Systems, 2023.
    127. K. Hou, P. Tang, Z. Liu, L. Zhu, J. B. Zhao, H. Jia, W. Pei, “A Lagrange-multiplier-based Reliability Assessment for Power Systems Considering Topology and Injection Uncertainties,” IEEE Trans. Power Systems, 2023.
    128. J. Liu, S. Yu, H. Hu, J. B. Zhao, H. Trinh, “Demand-Side Regulation Provision of Virtual Power Plants Consisting of Interconnected Microgrids Through Double-Stage Double-Layer Optimization,” IEEE Trans. Smart Grid, vol. 14, no. 3, pp. 1946-1957, 2023.
    129. F. Li, J. Zhu, L. Yu, S. Bu, H. Zhao, J. B. Zhao, Y. Xu, J. M. Guerrero, “An Imbalance-Status-Enabled Autonomous Global Power-Sharing Scheme for Solid-State Transformer Interconnected Hybrid AC/DC Microgrids,” IEEE Trans. Smart Grid, vol. 14, no. 3, pp. 1750-1762, 2023.
    130. A. Xue, L. Gu, H. Hong, J. B. Zhao, H. Kong, F. Xu, J. Ma, “PMU Angle Deviation Detection and Correction Using Line Reactive Power Measurements,” IEEE Trans. Power Systems, 2022.
    131. H. Wang, K. Hou, J. B. Zhao, X. Yu, H. Jia, Y. Mu, “Planning-Oriented Resilience Assessment and Enhancement of Integrated Electricity-gas System Considering Multi-type Natural Disasters“, Applied Energy, vol. 315, no. 1188, 2022-Highly Cited Paper according to Web of Science since Jan 2023
    132. S. Ashtiani, F. Vahedifard, M. Ghartemani, J. B. Zhao, A. AghaKouchak, “Performance Degradation of Levee-Protected Electric Power Network due to Flooding in a Changing Climate,” IEEE Trans. Power Systems, vol. 37, no. 6, pp. 4651-4660, 2022.
    133. B. Liu, J. B. Zhao, Q. Huang, Z. Duan, D. Cai, J. Li, Z. Zhang, “A Novel Uncertainty Quantification Framework for PF and OPF considering Nonlinear Correlated Power Injections with Limited Information,” IEEE Trans. Power Systems, vol. 37, no. 6, pp. 3704-3715, 2022.
    134. J. Zhu, X. Wang, J. B. Zhao, L. Yu, S. Li, Y. Li, J. M. Guerrero, C. Wang, “Inertia Emulation and Fast Frequency-droop Control Strategy of a Point-to-point VSC-HVDC Transmission System for Asynchronous Grid Interconnection,” IEEE Trans. Power Electronics,  vol. 37, no. 6, pp. 6530-6543, 2022.
    135. X. Zhang, Y. Liu, J. B. Zhao, J. Liu, M. Korkali, X. Chen, “Short-Circuit Current Constrained Unit Commitment and Transmission Switching Model for Improving Renewable Integration: An MILP Formulation,” IET Generation, Transmission & Distribution, vol. 16, no. 9, pp. 743-1755, 2022.
    136. K. Ye, J. B. Zhao, Y. Zhang, X. Liu, H. Zhang, “A Generalized Copula-Polynomial Chaos Framework for Probabilistic Power Flow with Nonlinearly Correlated PV Injections“, International Journal of Electrical Power & Energy Systems, vol. 136, no. 107727, 2022.
    137. Z. Shen, J. Zhu, L. Ge, S. Bu, J. B. Zhao, C. Y. Chung, C. Wang, “Variable-Inertia Emulation Control Scheme for VSC-HVDC Transmission Systems,” IEEE Trans. Power Systems, vol. 37, no. 1, pp. 629-639, 2022.
    138. F. Luo, A. Dorri, G. Ranzi, J. B. Zhao, R. Jurdak, “Aggregating Buildings as Virtual Power Plant-Architectural Design, Supporting Technologies, and Case Studies,” IET Energy Systems Integration, pp. 1-13, 2021.
    139. D. Huang, H. Liu, J. B. Zhao, T. Bi, Q. Yang, “A Novel Non-Uniform Frame Structure Model for Power System Disturbance Propagation Analysis” IEEE Trans. Power Systems, vol. 36, no. 6, pp. 5092-5104, 2021.
    140. B. Liu, J. B. Zhao, Q. Huang, F. Milano, Y. Zhang, “Nonlinear Virtual Inertia Control of WTGs for Enhancing Primary Frequency Response and Suppressing Drivetrain Torsional Oscillations,” IEEE Trans. Power Systems, vol. 36, no. 5, pp. 4102-4113, 2021.
    141. B. Liu, Q. Huang, J. B. Zhao, W. Hu, “A Novel Belief Function-Based Framework for UOPF with Multi-probability-characterized and Knowledge Deficient Power Sources“, IEEE Trans. Industrial Informatics, vol. 17, no. 5, pp. 3153-3164, 2021.
    142. D. Huang, H. Liu, J. Chow, J. B. Zhao, L. Mili, T. Bi, Q. Yang, “An Analytical Method for Disturbance Propagation Investigation based on the Electromechanical Wave Approach,” IEEE Trans. Power Systems, vol. 36, no. 2, pp. 991-1001, 2021.
    143. H. Hu, S. Yu, J. B. Zhao, T. K. Chau, F. Ding, T. Fernando, “MPC-based Double-layer Real-time Conditional Self-restoration for Interconnected Microgrids,” International Journal of Electrical Power and Energy Systems, Vol. 129, no. 106745, 2021.
    144. B. Liu, J. B. Zhao, Q. Huang, F. Milano, W. Hu, “Robust Nonlinear Controller to Damp Drivetrain Torsional Oscillation of Wind Turbine Generators,” IEEE Trans. Sustainable Energy, vol. 12, no. 2, pp. 1336-1346, 2021.
    145. Z. Liu, K. Hou, H. Jia, J. B. Zhao, Y. Mu, “A Lagrange Multiplier Based State Enumeration Reliability Assessment for Power Systems with Multiple Types of Loads and Renewable Generations,” IEEE Trans. Power Systems, vol. 36, no. 4, pp. 3260-3270, 2021.
    146. X. Lu, K. Hou, H. Jia, J. B. Zhao, L. Mili, D. Wang, “A Planning-oriented Resilience Assessment Framework for Transmission Systems under Typhoon Disasters,” IEEE Trans. Smart Grid, vol. 11, no. 6, pp. 5431–5441, 2020.
    147. J. Fan, X. Tong, J. B. Zhao, “Multi-period optimal energy flow for electricity-gas integrated systems considering gas inertia and wind power uncertainties,” International Journal of Electrical Power & Energy Systems, 2020.
    148. T. Jiang, H. Yuan, J. B. Zhao, F. Li, H. Jia, “Stochastic Subspace Identification Based Data-Driven Approach for Monitoring Electromechanical Dynamics from PMUs,” IET Generation Transmission & Distribution, vol. 14, no. 9. pp. 3983–3991, 2020.
    149. J. Li, H. Liu, T. Bi, J. B. Zhao, “A Second-order Matrix Pencil-Based Phasor Measurement Algorithm for P-Class PMUs,” IET Generation Transmission & Distribution, vol. 14, no. 9. pp. 3953–3961, 2020.
    150. Jiale Liu, F. Tang, J. B. Zhao, D. Liu, I. Kamwa, “Coherency Identification for Wind-Integrated Power System using Virtual Synchronous Motion Equation,” IEEE Trans. Power Systems, vol. 35, no. 4, pp. 2619-2630, 2020.
    151. T. Wang, W. Liu, J. B. Zhao, X. Guo, V. Terzija, “A rough set-based bio-inspired fault diagnosis method for electrical substations,” International Journal of Electrical Power & Energy Systems, vol. 119, no. 105961, 2020. (Highly Cited Paper Award, Highly Cited Paper and Hot Paper, i.e., Top 0.1% according to Web of Science since March 2021. 2022 Best Paper Award–only 5 papers are selected out of the 1500 publications in the past 2 years)
    152. B. Liu, Q. Huang, J. B. Zhao, W. Hu, “A Computational Attractive Interval Power Flow Approach with Correlated Uncertain Power Injections,” IEEE Trans. Power Systems, vol. 35, no. 1, pp. 825-828, 2020.
    153. X. Liu, K. Hou, H. Jia, J. B. Zhao, L. Mili, “A Resilience Assessment Approach for Power System from Perspectives of System and Component Levels,” International Journal of Electrical Power & Energy Systems, vol. 118, no. 105837, 2020.
    154. T. Guo, Y. Liu, J. B. Zhao, Y. Zhu, J. Liu, “A Dynamic Wavelet-based Robust Wind Power Smoothing Approach Using Hybrid Energy Storage System“, International Journal of Electrical Power & Energy Systems, vol. 116, no. 105579, 2020.
    155. Z. Yue, Y. Liu, Y. Yu, J. B. Zhao, “Probabilistic Transient Stability Assessment of Power System Considering Wind Power Uncertainties and Correlations,” International Journal of Electrical Power & Energy Systems, vol. 117, no. 105649, 2020.
    156. X. Wang, Y. Liu, J. B. Zhao, J. Liu, “A Hybrid Agent-based Model Predictive Control Scheme for Smart Community Energy System with Uncertain DGs and Loads,” Journal of Modern Power Systems and Clear Energy, 2020.
    157. A. Sayed, C. Wang, J. B. Zhao, T. Bi, “Distribution-level Robust Energy Management of Power Systems Considering Bidirectional Interactions with Gas Systems,” IEEE Trans. Smart Grid, vol. 11, no. 3, pp. 2092-2105, 2020.
    158. S. Wang, R. Huang, X. Ke, J. B. Zhao, R. Fan, Z. Huang, “A Risk-Oriented PMU Placement Approach in Electric Power Systems,” IET Generation, Transmission & Distribution, vol. 14, no. 2, pp. 301-307, 2020.
    159. M. Jahromi, M. Tajdinian, J. B. Zhao, P. Dehghanian, A. Seifi, “An Enhanced Sensitivity-Based Decentralized Framework for Real-Time Transient Stability Assessment in Bulk Power Grids with Renewable Energy Resources,” IET Generation, Transmission & Distribution, vol. 14, no. 4, pp. 665-674, 2020.
    160. J. B. Zhao, Y. Tang, V. Terzija, “Robust Online Estimation of Power System Center of Inertia Frequency,” IEEE Trans. Power Systems, vol. 34, no. 1, pp. 821-825, 2019.
    161. Y. Xu, L. Mili, A. Sandu, J. B. Zhao, ”Propagating Uncertainty in Power System Dynamic Simulations Using Polynomial Chaos,” IEEE Trans. Power Systems, vol. 34, no. 1, pp. 338-348, 2019.
    162. Y. Xu, L. Mili, J. B. Zhao, “Probabilistic Power Flow Calculation and Variance Analysis based on Hierarchical Adaptive Polynomial Chaos-ANOVA Method“, IEEE Trans. Power Systems, vo. 34, no. 5, pp. 3316-3325, 2019.
    163. J. B. Zhao, S. Fliscounakis, P. Panciatici, L. Mili, ”Robust Parameter Estimation of the French Power System Using Field Data,” IEEE Trans. Smart Grid, vol. 10, no. 5, pp. 5334-5344, 2019.
    164. J. B. Zhao, Z. Wang, J. Wang, “Robust Time-Varying Load Modeling for Conservation Voltage Reduction Assessment“, IEEE Trans. Smart Grid, vol. 9, no. 4, pp. 3304-3312, 2018.
    165. J. Fan, X. Tong, J. B. Zhao, “A Unified Optimal Power Flow Model for AC/DC Grids Integrated with Natural Gas Systems Considering the Uncertainties of Gas-Supply,” Journal of Modern Power Systems and Clear Energy, vol. 6, no. 6, pp 1193-1203, 2018.
    166. S. Wang, J. B. Zhao, Z. Huang, R. Diao, “Assessing Gaussian Assumption of PMU Measurement Error Using Field Data,” IEEE Trans. Power Delivery, vol. 33, no. 6, pp. 3233-3236, 2018.
    167. R. Huang, R. Diao, Y. Li, et. al, J. B. Zhao, “Calibrating Parameters of Power System Stability Models using Advanced Ensemble Kalman Filter,” IEEE Trans. Power Systems, vol. 33, no. 3, pp. 2895-2905, 2018.
    168. J. B. Zhao, L. Mili, F. Milano, “Robust Frequency Divider for Power System Online Monitoring and Controls,” IEEE Trans. Power Systems, vol. 33, no. 4, pp. 4414-4423, 2018.
    169. J. B. Zhao, Z. Y. Wang, C. Chen, G. X. Zhang, “Robust Voltage Instability Predictor“, IEEE Trans. Power Systems, vol. 32, no. 2, pp. 1578-1579, 2017.
    170. J. B. Zhao, G. X. Zhang, “A Robust Prony Method Against Synchrophasor Measurement Noise and Outliers“, IEEE Trans. Power Systems, vol. 32, no. 3, pp. 2484-2486, 2017.
    171. T. Wang, G. X. Zhang, J. B. Zhao, Z. Y. He, J. Wang, “Fault Diagnosis of Electric Power Systems Based on Fuzzy Reasoning Spiking Neural P Systems,” IEEE Trans. Power Systems, vol. 30, no. 3, pp. 1182-1194, 2015.–Highly Cited Paper
    172. X. Y. Wang, G. X. Zhang, N. Ferrante, T. Jiang, J. B. Zhao, M. Gheorghe, F. Ipate, R. Lefticaru,”Design and implementation of membrane controllers for trajectory tracking of nonholonomic wheeled mobile robots,” Integrated Computer-Aided Engineering, vol. 23, no. 1, pp. 15-30, 2015.
    173. J. B. Zhao, G. X. Zhang, X. R. Wang, D. H. Zou, “Distribution state estimation with renewable sources based distributed generations using a modified quantum-inspired evolutionary algorithm,” Journal of Renewable and Sustainable Energy, vol. 5, no. 5, 053133, 2014.
    174. X. Y. Wang, G. X. Zhang, J. B. Zhao, F. Ipate, R. Lefticaru,”A Modified Membrane-Inspired Algorithm Based on Particle Swarm Optimization for Mobile Robot Path Planning,” International Journal of Computers, Communications & Control, vol. 10, no. 5, pp. 732-745, 2014.
    175. J. B. Zhao, G. X. Zhang, Y.Q. Huang, “Status and prospect of state estimation for power system containing renewable energy,” Electric Power Automation Equipment, vol. 34, no. 5, pp. 7-20, 2014.

                      Conference Papers

                      1. A. Selim, J. B. Zhao, G. Seo, B. Cui, F. Ding, “Grid-Forming Inverters for Enhancing Stability and Resilience in Distribution Networks Under Transients and Restoration,” IEEE PES Innovative Smart Grid Technologies Conference, pp. 1-5, 2024.
                      2. Y. Zhang, J. B. Zhao, S. Chung, D. Shi, “Deep Reinforcement Learning-Enabled Adaptive Forecasting-Aided State Estimation in Distribution Networks with Multi-Source Multi-Rate Data,” IEEE PES Innovative Smart Grid Technologies Conference, pp. 1-5, 2024.
                      3. Y. Liang, J. B. Zhao, D. Srinivasan, “Robust learning-assisted data-driven congestion management via sparse sensitivity estimation,” 2023 IEEE IAS Industrial and Commercial Power System Asia Conference (I&CPS Asia), 2023 (Best Paper Award).
                      4. T. Su, J. B. Zhao, X. Chen, X. Liu, “Analytic Input Convex Neural Networks-based Model Predictive Control for Power System Transient Stability Enhancement”, IEEE Power and Energy Society General Meeting, pp. 1-5, 2023 (Best Paper Award).
                      5. J. Zhang, J. B. Zhao, W. Liu,  “A Graph Convolutional Network for Active Distribution System Considering Measurement Spatial and Temporal Correlations” 55th North American Power Symposium (NAPS), pp. 1-5, 2023 (Student Poster Award-Second Place)
                      6. Y. Pei, Y. Yao, J. B. Zhao, F. Ding, J. Wang, “Two-Stage Deep Reinforcement Learning for Distribution System Voltage Regulation and Peak Demand Management”, IEEE Power and Energy Society General Meeting, pp. 1-5, 2023.
                      7. H. Wang, Y. Yao, J. B. Zhao, F. Ding, “Online Model-Free Chance-Constrained Distribution System Voltage Control using DERs”, IEEE Power and Energy Society General Meeting, pp. 1-5, 2023.
                      8. S. Vahedi, Y. Yao, J. B. Zhao, Y. Ding, E. Ntakou, T. Wang, “A Temperature-Informed Data-Driven Approach for Behind-the-Meter Solar Disaggregation”, IEEE Power and Energy Society General Meeting, pp. 1-5, 2023.
                      9. K. Ye, J. B. Zhao, X. Liu, C. Moyaa, G. Lin, “DeepONet Based Uncertainty Quantification for Power System Dynamics with Stochastic Loads”, IEEE Power and Energy Society General Meeting, pp. 1-5, 2023.
                      10. B. Tan, J. B. Zhao, A. Maldonado, J. Philhower, “Time-varying Inertia Estimation for Inverter-based Resources”, IEEE Power and Energy Society General Meeting, pp. 1-5, 2023.
                      11. A. Selim, J. B. Zhao, F. Ding, F. Miao, S. Park, “Deep Reinforcement Learning for Distribution System Cyber Attack Defense with DERs”, IEEE PES ISGT North America, pp. 1-5, 2023.
                      12. B. Tan, J. B. Zhao, W. Liu, N. Duan, “Interpretable Data-Driven Probabilistic Power System Load Margin Assessment with Uncertain Renewable Energy and Loads,” IEEE PES ISGT Aisa, pp. 1-5, 2022 (Best Paper Award).
                      13. J. Zhang, J. B. Zhao, K. Ye, Fei Ding, “Multi-fidelity Gaussian Process for Distribution System Voltage Probabilistic Estimation with PVs,” The 6th IEEE Conference on Energy Internet and Energy System Integration, pp. 1-5, 2022 (Best Paper Award).
                      14. A. Selim, J. B. Zhao, X. Zhang, F. Ding, “Deep Reinforcement Learning for Distribution System Restoration using Distributed Energy Resources and Tie-Switches”, IEEE Power and Energy Society General Meeting, pp. 1-5, 2022.
                      15. B. Tan, J. B. Zhao, Q. Huang, Y. Zhang, H. Zhang, “Explainable Bayesian Neural Network for Probabilistic Transient Stability Analysis Considering Wind Energy,” IEEE Power and Energy Society General Meeting, pp. 1-5, 2022 (Best Paper Award).
                      16. Y. Pei, Y. Yao, J. B. Zhao, J. Wang, F. Ding, “Multi-Agent Deep Reinforcement Learning for Realistic Distribution System Voltage Control using PV Inverters,” IEEE Power and Energy Society General Meeting, pp. 1-5, 2022 (Best Paper Award).
                      17. K. Ye, Y. Pei, J. B. Zhao, Y. Yao, F. Ding, “Multi-Fidelity Learning for Distribution System Voltage Probabilistic Analysis with High Penetration of PVs,” IEEE Power and Energy Society General Meeting, pp. 1-5, 2022.
                      18. S. Rashid Khazeiynasab, J. B. Zhao, N. Duan, “WECC Composite Load Model Parameter Identification Using Deep Learning Approach,” IEEE Power and Energy Society General Meeting, pp. 1-5, 2022.
                      19. Y. Yao, K. Ye, J. B. Zhao, F. Ding, J. Giraldez, “DERMS Online: A New Voltage Sensitivity enabled Feedback Optimization Framework,” IEEE PES ISGT North America, pp. 1-5, 2022.
                      20. K. Ye, J. B. Zhao, N. Duan, D. Adrian Maldonado, “Uncertainty Quantification of Loads and Correlated PVs on Power System Dynamic Simulations,” IEEE IAS Industrial & Commercial Power System Asia, 2021 (Best Paper Award).
                      21. Y. Pei, Y. Yao, J. B. Zhao, F. Ding, “Data-Driven Distribution System Coordinated PV InverterControl Using Deep Reinforcement Learning,” IEEE Sustainable Power and Energy Conference, pp. 1-5, 2021 (Best Paper Award).
                      22. S. A. Nugroho, A. F. Taha, N. Gatsis, J. B. Zhao, “On the Simultaneous Estimation of Dynamic and Algebraic States in Power Networks via State Observer,” IEEE Conference on Control Technology and Applications, San Diego, CA, USA, 2021.
                      23. B Tan, J Zhao, F Milano, Q Lai, Y Zhang, DA Maldonado, “Extended Frequency Divider for Bus Frequency Estimation Considering Virtual Inertia from DFIGs,” IEEE PES ISGT LA, 2021.
                      24. N. Duan, J. B. Zhao, B. Wang, S. Wang, “Discrete Empirical Interpolation Method based Dynamic Load Model Reduction,” IEEE Power and Energy Society General Meeting, July 25-29, pp. 1-5, 2021.
                      25. J. B. Zhao, S. Wang, R. Huang, N. Zhou, L. Mili and Z. Huang, “Robust Adaptive Nonlinear Kalman Filter for Synchronous Machine Parameter Calibration,” 2021 Hawaii International Conference on System Sciences.
                      26. K. Ye, J. B. Zhao, C. Huang, N. Duan, F. Ding, R. Yang, “Data-driven Global Sensitivity Analysis of Three-Phase Distribution System with PVs,” IEEE Power and Energy Society General Meeting, July 25-29, pp. 1-5, 2021. (Best Paper Award)
                      27. B. Wang, Y. Liu, D. Lu, R. Pan, J. B. Zhao, “An Improved Current Differential Protection Scheme on Non-Homogeneous Transmission Lines Considering Fully Distributed Parameter Model and Line Asymmetry,” IEEE Power and Energy Society General Meeting, July 25-29, pp. 1-5, 2021.
                      28. B. Liu, J. B. Zhao, Q. Huang, F. Milano, B. Tan, “Robust Nonlinear Controller for Wind Turbine Generator Drivetrain Torsional Oscillation under Large Disturbances“, IEEE Power and Energy Society General Meeting, July 25-29, pp. 1-5, 2021. (Best Paper Award)
                      29. D. Cao, J. B. Zhao, W. Hu, F. Ding, G. Zhang, Q. Huang, Z. Chen, “Decentralized Multi-agent Deep Reinforcement Learning for Voltage Control of Large-Scale Distribution System with PVs“, IEEE Power and Energy Society General Meeting, July 25-29, pp. 1-5, 2021.
                      30. D. Cetenovic, A. Ranković, Junbo Zhao, V. Terzija, Can Huang, “Using Branch Current Measurements for Parameter Identification in Extended Kalman Filter based Distribution System State Estimation“, IEEE Power and Energy Society General Meeting, July 25-29, pp. 1-5, 2021.
                      31. J. B. Zhao, S. Wang, R. Huang, Y. Liu, Z. Huang, “Robust Adaptive Decentralized Dynamic State Estimation with Unknown Control Inputs using Field PMU Measurements,” in Proc. of IEEE PES General Meeting, Canada, pp. 1-5, August 2020. (Best Paper Award).
                      32. M. Qing, F. Tang, J. B. Zhao, D. Liu, “Frequency Support for DFIG Using Improved Inertial Control Strategy,” 12th IEEE PES Asia-Pacific Power and Energy Engineering Conference, 2020.
                      33. A. Sayghe, J. B. Zhao, C. Konstantinou, “Evasion Attacks with Adversarial Deep Learning Against Power System State Estimation,” in Proc. of IEEE PES General Meeting, Canada, pp. 1-5, August 2020.
                      34. B. Wang, Y. Liu, J. B. Zhao, X. Chen, “State Estimation Based Fault Location Method for Active Distribution Networks,” in Proc. of IEEE PES General Meeting, Canada, pp. 1-5, August 2020.
                      35. J. B. Zhao, C. Huang, L. Mili, Y. Zhang, L. Min, “Robust Medium-Voltage Distribution System State Estimation using Multi-Source Data,” in Proc. of IEEE PES ISGT, DC, pp. 1-5, 2020.
                      36. J. B. Zhao, S. Wang, R. Huang, N. Zhou, L. Mili, Z. Huang, “Multi-scale State Estimation for the Next Generation of Energy Management System,” in Proc. of IEEE PES General Meeting, Atlanta, pp. 1-5, August 2019.
                      37. T. Chen, C. Huang, F. Hu, J. B. Zhao, W. Su “Self-learning Prosumer in Competitive Local Energy Market,” in Proc. of IEEE PES ISGT Asia, Chengdu, pp. 1-5, 2019. (Best Paper Award).
                      38. J. B. Zhao, L. Mili, “State Estimation for Heavily Loaded System: A Comparative Study” in Proc. of IEEE PES General Meeting, August 5-9, Portland, 2018.
                      39. J. B. Zhao, L. Mili, A. Abdelhadi, “Robust dynamic state estimator to outliers and cyber attacks” in Proc. of IEEE PES General Meeting, July 16-20, Chicago 2017.
                      40. J. B. Zhao, G. X. Zhang, M. La Scala, “A two-stage robust power system state estimation method with unknown measurement noise,” in Proc. of IEEE PES General Meeting, Boston, MA, pp. 1-5, July 2016.
                      41. N. Marcos, J. B. Zhao, L. Mili, “A robust extended Kalman filter for power system dynamic state estimation using PMU measurements,” in Proc. of IEEE PES General Meeting, Boston, MA, pp. 1-5, July 2016 (Second Prize award for student poster contest)
                      42. J. B. Zhao, G. X. Zhang, M. La Scala, “PMU based robust dynamic state estimation method for power systems,” in Proc. of IEEE PES General Meeting, Denver, CO, pp. 1-5, July 2015.
                      43. J. B. Zhao, G. X. Zhang, M. La Scala, J. H. Zhang, “Multistage phasor-aided bad data detection and identification,” in Proc. of IEEE PES General Meeting, Denver, CO, pp. 1-5, July 2015.

                        Patents

                        1. J. B. Zhao, G. X. Zhang, “A PMU based robust power system dynamic state estimation method”, Granted, Chinese Patent, ZL201310238251.9
                        2. J. B. Zhao, G. X. Zhang, “A real-time power system state estimation method”, Granted, Chinese Patent , ZL201410166675.3.
                        3. J. B. Zhao, G. X. Zhang, “A composite power quality disturbances automatic identification method”, Granted, Chinese Patent, ZL201310204610.9.
                        4. J. B. Zhao, G. X. Zhang, “Hybrid quantum-inspired evolutionary algorithm for substations optimization planning”, Granted, Chinese Patent, ZL201310195497.2.
                        5. J. B. Zhao, G. X. Zhang, “A robust power system dynamic bad data detection and identification method”, Granted, Chinese Patent, ZL201310237624.0.
                        6. J. B. Zhao, G. X. Zhang, “An intelligent optimization techniques based distribution state estimation method including renewable energy”, Granted, Chinese Patent, ZL201310085442.6.
                        7. J. B. Zhao, G. X. Zhang, “A PMU based multi-area distributed power system state estimation method”, Granted, Chinese Patent, ZL201310157443.7.

                        Technical Reports

                        1. Junbo Zhao, Fei Ding, Hao Zhu, Shunbo Lei, Ankur Srivastava, Antonio Gomez Exposito, Anamika Dubey, Anuradha Annaswamy, Alexandros Paspatis, Alex McEachern, Arun Sukumaran Nair, Anurag Srivastava, Bharathwajanprabu Ravisankar, Bang Nguyen, Bolun Xu, Bin Liu, Bo Wang, Charalambos Konstantinou, Chuan Qin, Danny Espín-Sarzosa, Felipe Valencia, Fankun Bu, Gustavo Valverde, Ioannis Zografopoulos, Jawana Gabrielski, Javad Jazaeri, Luis Badesa, Mohammed Ben-Idris, Muthu Kumar Subramanian, Nanpeng Yu, Priyank Srivastava, Preetham Goli, Rabab Haider, Rodrigo Palma-Behnke, Rodrigo D. Trevizan, Soroush Vahedi, Seyed Masoud Mohseni-Bonab, Shakil Hossan, Surendra Bajagain, S M Shafiul Alam, Song Zhang, Sara Eftekharnejad, Sukumar Brahma, Wenyu Wang, Yishen Wang, Yuri Rodrigues, Zhaoyu Wang, “Behind-The-Meter Distributed Energy Resources: Estimation, Uncertainty Quantification, and Control” IEEE PES Technical Report, TR111, 2023 (2024 IEEE PES Technical Committee Working Group Recognition Award for Outstanding Technical Report).
                        2. Rafael Segundo, Yanli Liu, Emilio Barocio, Petr Korba, Aharon de la Torre, Al-Amin Bugaje, Alejandro Zamora-Mendez, Alexandra Karpilow, Carlos Toledo, Claudia Caro-Ruiz, Daniel Dotta, Daniel Müller, David Panchi, Diego Echeverría, Federica Bellizio, Francisco Zelaya, Gabriel V. de S. Lopes, Gao Qiu, Garibaldi Pineda-Garcia, Goran Strbac, Hector Chavez, Hjörtur Jóhannsson, Jaime Cepeda, Jochen L. Cremer, Jose Ortiz-Bejar, José Zarate, José Antonio de la O Serna, Juan Quiroz, Juan M. Ramirez, Junbo Zhao, Lucas Lugnani, Luis Gonzalez, Luis Mendieta, Marcos Netto, Mario Paolone, Mario R. Arrieta Paternina, Miguel Ramirez-Gonzalez, Panagiotis Papadopoulos, Rodrigo D. Reyes de Luna, Salvador Lara, Tong Su, Yoshihiko Susuki, Youbo Liu, Yutaka Ota, “Application of spatio-temporal data-driven and machine learning algorithms for security assessment,” IEEE PES Technical Report, TR104, 2022.
                        3. Marcos Netto, Venkat Krishnan, Michael Ingram, Yajun Wang, Junbo Zhao, Emilio Barocio, Manuel Andrade, Juan Jose Guerrero, Jorge Mola, Jaime C. Cepeda, David Panchi, Aharon B. De La Torre, Diego E. Echeverría, Hector Chavez, Alberto Trigueros, Miguel Herrera, Jose Luis Rueda Torres, Simon Tindemans, Marnick Huijsman, Jorrit Bos, Danny Klaar, Petr Korba, Mats Larsson, Mario Paolone, Miguel Ramirez, Rusejla Sadikovic, Walter Sattinger, Rafael Segundo, Camille Hamon, Robert Eriksson, Jochen Cremer, Federica Bellizio, Panagiotis Papadopoulos, Balarko Chaudhuri, Vladimir Terzija, Yanli Liu, “Present situation on data acquisition, handling, and analytics of operators of the transmission system in different countries and their future needs to cope with the continuous growth of data,” IEEE PES Technical Report, TR100, 2022.
                        4. Junbo Zhao, Abhinav Kumar Singh, Abdul Saleem Mir, Ahmad Taha, Ali Abur, Antonio Gomez-Exposito, A. P. Sakis Meliopoulos, Bikash Pal, Innocent Kamwa, Junjian Qi, Lamine Mili, M. A. M. Ariff, Marcos Netto, Mevludin Glavic, Samson Shenglong Yu, Shaobu Wang, Tianshu Bi, Thierry Van Cutsem, Vladimir Terzija, Yu Liu, Zhenyu Huang, “Power system dynamic state and parameter estimation-transition to power electronics-dominated clean energy systems,” IEEE PES Technical Report, TR88, 2021 (Society Level-2023 IEEE PES Outstanding Working Group for Outstanding Technical Report Award)