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

#### Book Chapters

- Junbo Zhao and Massimo La Scala, “False Data Injection Attacks and Countermeasures for Wide Area Measurement System”, IET, 2016.
- 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.
- 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.
- 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**

- 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. - 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. - 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. - B. Tan, J. B. Zhao, “Debiased Uncertainty Quantification Approach for Probabilistic Transient Stability Assessment,”
*IEEE Trans. Power Systems*, 2023. - 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. - B. Tan, J. B. Zhao, D. Nan, “Amortized Bayesian Parameter Estimation Approach for WECC Composite Load Model,”
*IEEE Trans. Power Systems*, 2023. - 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. - 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*, 2023. - G. Chen, Y. Lin, J. Yan, J. B. Zhao, L. Bai, “Model-Measurement Data Integrity Attacks,”
*IEEE Trans. Smart Grid*, 2023. - J. Ling, Z. Yang, J. B. Zhao, J. Yu, “Modular Linear Power Flow Model Against Large Fluctuations,”
*IEEE Trans. Power Systems*, 2023. - 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. - 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*, 2022. - 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*, 2022. - 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*, 2022. - 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*, 2022. - 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. - 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*, 2022. - 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. - 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. - 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. - 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)** - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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.

- 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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)** - 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)** - 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. - 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. - 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. - 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. - 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. - 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****)**. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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) - 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** - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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** - 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. - 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)** - 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)** - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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.
- 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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)** - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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** - J. B. Zhao, “Power System Dynamic State Estimation Considering Measurement Correlations“,
*IEEE Trans. Energy Conversion*, vol. 32, no. 4, pp. 1630-1632, 2017. - 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** - Y. Liu, Z. Li, J. B. Zhao, “Safety-Constrained Stagewise Optimization of Droop Control Parameters for Isolated Microgrids,”
*IEEE Trans. Smart Grid*, 2023. - J. Liu, C. Wang, J. B. Zhao, T. Bi, “RoCoF Constrained Unit Commitment Considering Spatial Difference in Frequency Dynamics,”
*IEEE Trans. Power Systems*, 2023. - 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. - 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. - 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. - 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. - 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** - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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)** - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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. - 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.
- 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. - 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. - 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. - 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. - 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. - 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** - 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. - 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. - 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. - 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

- 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**). - 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**). - 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. - 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**). - 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**). - 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. - 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. - 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**). - 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**). - 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. - 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. - 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. - 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.
- 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)** - 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. - 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)** - 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. - 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. - 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).** - 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. - 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. - 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. - 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. - 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. - 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****)**. - 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. - 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. - 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. - 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)** - 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. - 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

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