Copyright notice: The copyright for all papers that have 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.

Journal Articles

  • Cyber-Physical Power System Learning and Cybersecurity

  1. 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, 2021.

  2. D. Cao, J. B. Zhao, W. Hu, F. Ding, 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, 2021.

  3. S. Khazeiynasab, J. B. Zhao, I. Batarseh, B. Tan, "Power Plant Model Parameter Calibration Using Conditional Variational Autoencoder", IEEE Trans. Power Systems, 2021.

  4. J. Khazaei, M. Alkaf, J. B. Zhao, "Convex Optimization of Cyberattacks Overflowing Multiple Lines in Cyber-Physical Power Systems," IEEE System Journal, 2021.

  5. 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, 2021.

  6. 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, 2021.

  7. 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.

  8. 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, 2021.

  9. 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.

  10. 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, 2021.

  11. 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.

  12. 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, 2021.

  13. 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.

  14. 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.

  15. 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.

  16. 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, 2021.

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  21. 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.

  22. 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.

  23. H. Liu, Y. Qi, J. B. Zhao, T. Bi, "Data-Driven Subsynchronous Oscillation Identification Using Field Synchrophasor Measurements," IEEE Trans. Power Delivery, 2021.

  24. 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.

  25. 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.

  26. 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).

  27. 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.

  28. 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.

  29. 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.

  30. 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.

  31. 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.

  32. 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.

  33. 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.

  34. 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)

  35. 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

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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

  1. 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, 2021. (IEEE TF on Power System Dynamic State and Parameter Estimation)

  2. 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. (IEEE TF on Power System Dynamic State and Parameter Estimation)

  3. 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. (IEEE TF on Power System Dynamic State and Parameter Estimation-Highly Cited Paper according to Web of Science since March 2021)

  4. 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, 2021.

  5. 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, 2021.

  6. 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, 2021.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. 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.

  17. 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)

  18. 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.

  19. 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.

  20. 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.

  21. 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.

  22. 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.

  23. 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.

  24. 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.

  25. 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

  26. J. B. Zhao, "Power System Dynamic State Estimation Considering Measurement Correlations", IEEE Trans. Energy Conversion, vol. 32, no. 4, pp. 1630-1632, 2017.

  27. 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, Stability, and Control

  1. 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, 2021.

  2. 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, 2021.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

  15. 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.

  16. 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.

  17. 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.

  18. 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.

  19. 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.

  20. 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.

  21. 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.

  22. 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.

  23. 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.

  24. 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.

  25. 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.

  26. 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.

  27. 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.

  28. 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.

  29. 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.

  30. 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.

  31. 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.

  32. 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.

  33. 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.

  34. 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

  35. 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.

  36. 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.

  37. 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.

  38. 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.

Working papers

  • J. Liu, Z. Yang, J. B. Zhao, J. Yu, B. Tan, "Explicit Data-Driven Small-Signal Stability Constrained Optimal Power Flow," IEEE Trans. Power Systems, 2021.

  • B. Liu, J. B. Zhao, Q. Huang, Z. Zhang, "A Novel Uncertainty Quantification Framework for PF and OPF considering Nonlinear Correlated Power Injections with Limited Information," IEEE Trans. Power Systems, 2021.

  • K. Ye, J. B. Zhao, Y. Zhang, X. Liu, "A Generalized Copula-Polynomial Chaos Framework for Probabilistic Power Flow with Nonlinearly Correlated PV Injections" International Journal of Electrical Power & Energy Systems, 2021 (Second round of review).

Conference Papers

  1. 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.

  2. 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)

  3. 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.

  4. 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)

  5. 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.

  6. 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.

  7. 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).

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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).

  14. 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.

  15. 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.

  16. 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.

  17. 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)

  18. 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.

  19. 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.