Y. Pei, K. Ye, J. B. Zhao, Y. Yao, T. Su, F. Ding, “Visibility Enhanced Model-Free Deep Reinforcement Learning Algorithm for Voltage Control in Realistic Distribution Systems Using Smart Inverters,” Applied Energy, 2024.
M. Gao, J. Yu, Z. Yang, J. B. Zhao, “A Physics-Guided Graph Convolution Neural Network for Optimal Power Flow,” IEEE Trans. Power Systems, vol. 39, no. 1, pp. 380-390, 2024 (Hot Paper according to Web of Science since May 2024-in the top 0.1% of papers in the field within the past two years).
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)
A. Srivastava, J. B. Zhao, et.al, “Distribution System Behind-the-Meter DERs: Estimation, Uncertainty Quantification, and Control,” IEEE Trans. Power Systems, 2024.
D. Cetenovic, J. B. Zhao, V. Levi, Y. Liu, V. Tezija, “Variational Bayesian Unscented Kalman Filter for Active Distribution System State Estimation,” IEEE Trans. Power Systems, 2024.
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.
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
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. (one of our top 10 most-cited papers published)
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.)
K. Ye, J. B. Zhao, M. Hong, S. Maslennikov, B. Tan, X. Luo, “Power System Overloading Risk Assessment Considering Topology and Renewable Uncertainties,” IEEE Power and Energy Society General Meeting, 2024 (Best Paper Award).
Y. Pei, Y. Yao, J. B. Zhao, F. Ding, “Deep Reinforcement Learning for Distribution System Cost Optimization Considering Load Flexibility,” IEEE Power and Energy Society General Meeting, 2024.
J. Zhang, Y. Liu, A. Rouhani, J. B. Zhao, K. Scott, G. Warchol, “A Robust Data-Driven Gaussian Process Regression-Enabled Distribution System State Estimation using Partial Node Data,” IEEE Power and Energy Society General Meeting, 2024.
Y. Liu, J. Zhang, A. Rouhani, J. B. Zhao, K. Scott, G. Warchol, “Practical Implementation of Distribution System State Estimation with Distribution Line Parameter Correction,” IEEE Power and Energy Society General Meeting, 2024.
T. Su, J. B. Zhao, Y. Chen, “Dynamic Line Rating Assisted Transient Stability Preventive Control with High Penetration of Renewable Energy,” IEEE Power and Energy Society General Meeting, 2024.
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.
Y. Li, J. B. Zhao, R. Yang, “EV Forecasting-Based Model Predictive Control for Distribution System Congestion Mitigation,” 2024 IEEE Kansas Power and Energy Conference.
X. Wang, W. Liu, F. Ding, Y. Yao, and J. B. Zhao, “Preventive Power Outage Estimation Based on A Novel Scenario Clustering Strategy,” IEEE Power and Energy Society General Meeting, 2024.
S. Vahedi, J. B. Zhao, J. Dong, B. Wang and J. Lian, “Resilience Assessment for Distribution Systems during Hurricanes: A Learning-Based Framework,” IEEE Power and Energy Society General Meeting, 2024 (Best Paper Award).
H. Wang, Y. Yao, J. B. Zhao, F. Ding, “A Measurement-Based Adaptive Voltage Regulation Method Considering Topology Changes,” IEEE Power and Energy Society General Meeting, 2024.
A. Srivastava, J. B. Zhao, K. Moore, E. Anagnostou, “Development of Cyber-Physical Security Simulation Testbed in RTDS using Modbus Communication,” IEEE Power and Energy Society General Meeting, 2024 (Best Paper Award).
Y. Ding, S. Ozharar, Z. Jiang, Y. Tan, T. Wang, J. B. Zhao, “Distributed Fiber Optic Sensing for Fault Localization Caused by Fallen Tree Using Physics-informed ResNet,” IEEE PES Innovative Smart Grid Technologies Conference, pp. 1-5, 2024.
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.
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).
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).
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)
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.
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.
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.
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.
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.
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.
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.
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.
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).
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.
Technical Reports
Junbo Zhao, Charalambos Konstantinou, Amir Abiri Jahromi, Ankur Srivastava, Astha Chawla, Bang Nguyen, Bendong Tan, Bu Siqi, Chendan Li, Fei Teng, Goli Preetham, Ioannis Zografopoulos, Juan Ospina, Linh Vu, Luo Xu, Mohammad Asim Aftab, Mohammadreza Arani, Ömer Sen, Panayiotis Moutis, Pudong Ge, Qinglai Guo, Subham Sahoo, Subhash Lakshminarayana, Suman Rath, Tuyen Vu, Wentao Zhu, Zhaoyuan Wang, “Cyber-Physical Interdependence for Power System Operation and Control“, IEEE PES Technical Report, TR119, December 2023.
Junbo Zhao, Ye Guo, Ankur Srivastava, Antonio Gomez Exposito, Anamitra Pal, Ankush Sharma, Arturo Bretas, Dragan Ćetenović, Huaizhi Wang, Innocent Kamwa, Liang Chen, Lamine Mili, Manyun Huang, Qi Zhao, Saikat Chakrabarti, Sheng Chen, Tingting Zhang, Vladimir Terzija, Victor Levi, Wen Zhang, Weiye Zheng, Yanbo Chen, Yang Li, Yuzhang Lin, “State Estimation for Integrated Energy Systems: Motivations, Advances, and Challenges“, IEEE PES Technical Report, TR118, December 2023 (2024 IEEE PES Technical Committee Working Group Recognition Award for Outstanding Technical Report).
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).
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 (2024 IEEE PES Technical Committee Working Group Recognition Award for Outstanding Technical Report).
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.
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)