For a complete list of publications, please refer to Google Scholar.

📝 Papers in Progress

• Bendong Tan, Junbo Zhao and Yousu Chen, “Scalable risk assessment of rare events in power systems with uncertain wind generation and loads,” IEEE Transactions on Power Systems, 2024. (Under the second round of review)
• Bendong Tan, Junbo Zhao, “Bayesian post-fault power system dynamic trajectory prediction,” IEEE Transactions on Power Systems, 2024. (Under review)
• Bendong Tan, Junbo Zhao, Naiyuan Chiang and Nan Duan, ``High-dimension Bayesian parameter estimation for WECC composite load model using realistic event measurements,” IEEE Transactions on Power Systems, 2024. (Under review)
• Xingyu Zhao, Bendong Tan and Junbo Zhao, “Power system dynamic state estimation of grid-forming inverters with current limiter,” IEEE Power Engineering Letters, 2024. (Under review)
• Tong Su, Junbo Zhao, Bendong Tan, Daniel Maldonado, Xiaodong. Liu, and Xiaochuan Luo, “Analytic input convex neural networks enabled transient stability predictive control with wind generators,” IEEE Transactions on Power Systems, 2024. (Under review)

📝 Journal Papers

• [J19] Bendong Tan, Junbo Zhao, “Data-driven adaptive unscented Kalman filter for time-varying inertia and damping estimation of utility-scale IBRs considering current limiter,” IEEE Transactions on Power Systems, 2024, doi: 10.1109/TPWRS.2024.3379956.[Link]
• [J18] Jiahao Liu, Cheng Wang, Junbo Zhao, Bendong Tan and Tianshu Bi, “Simplified transient model of DFIG wind turbine for power system frequency dynamics analysis,” IEEE Transactions on Power Systems, vol. 39, no. 2, pp. 3752-3768, Mar. 2024.[Link]
• [J17] Bendong Tan, Junbo Zhao, “Debiased uncertainty quantification approach for probabilistic transient stability assessment,” IEEE Transactions on Power Systems, vol. 38, no. 5, pp. 4954-4957, Sept. 2023.[Link]
• [J16] Maolin Zhu, Hao Liu, Junbo Zhao, Bendong Tan, Tianshu Bi and Samson Shenglong Yu, “Dynamic state estimation for DFIG with unknown inputs based on cubature Kalman filter and adaptive interpolation,” Journal of Modern Power Systems and Clean Energy, vol. 11, no. 4, pp. 1086-1099, July 2023.[Link]
• [J15] Bendong Tan, Junbo Zhao and Nan Duan, “Amortized Bayesian parameter estimation approach for WECC composite load model,” IEEE Transactions on Power Systems, vol. 39, no. 1, pp. 1517-1529, Jan. 2024.[Link]
• [J14] Guozhou Zhang, Junbo Zhao, Weihao Hu, Di Cao, Bendong Tan, Qi Huang and Zhe Chen, “A novel data-driven self-tuning SVC additional fractional-order sliding mode controller for transient voltage stability with wind generations,” IEEE Transactions on Power Systems, vol. 38, no. 6, pp. 5755-5767, Nov. 2023.[Link].
• [J13] Bendong Tan, Junbo Zhao, and Le Xie, “Transferable deep kernel emulator for probabilistic load margin assessment with topology changes, uncertain renewable generations and loads,” IEEE Transactions on Power Systems, vol. 38, no. 6, pp. 5740-5754, Nov. 2023.[Link]
• [J12] Bendong Tan, Junbo Zhao, “Data-driven time-varying inertia estimation of inverter-based resources,” IEEE Transactions on Power Systems, vol. 38, no. 2, pp. 1795-1798, March 2023.[Link]
• [J11] Bendong Tan, Junbo Zhao and Marcos Netto, “A general decentralized dynamic state estimation with synchronous generator magnetic saturation,” IEEE Transactions on Power Systems, vol. 38, no. 1, pp. 960-963, Jan. 2023.[Link]
• [J10] Juelin Liu, Zhifang Yang, Junbo Zhao, Juan Yu, Bendong Tan and Wenyuan Li, “Explicit Data-Driven Small-Signal Stability Constrained Optimal Power Flow,”, IEEE Transactions on Power Systems, vol. 37, no. 5, pp. 3726-3737, Sept. 2022.[Link]
• [J9] Bendong Tan, Junbo Zhao, Vladimir Terzija and Yingchen Zhang, “Decentralized data-driven estimation of generator rotor speed and inertia constant based on adaptive unscented Kalman filter,” International Journal of Electrical Power & Energy Systems, Vol.134, May 2022.[Link]
• [J8] Bendong Tan, Junbo Zhao, Nan Duan, Daniel Adrian Maldonado, Yingchen Zhang, Hongming Zhang and Mihai 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, March 2022.[Link]
• [J7] Seyyed Rashid Khazeiynasab, Junbo Zhao, Issa Batarseh and Bendong Tan “Power plant model parameter calibration using conditional variational autoencoder,” IEEE Transactions on Power Systems, vol. 37, no. 2, pp. 1642-1652, March 2022.[Link].
• [J6] Bendong Tan, Junbo Zhao, Marcos Netto, Venkat Krishnan, Vladimir Terzija and Yingchen Zhang, “Power system inertia estimation: review of methods and the impacts of converter-interfaced generations,” International Journal of Electrical Power & Energy Systems, Jan 2022.[PDF] (Best Journal Paper Award)
• [J5] Bendong Tan, Jun Yang, Yuan Liu, Wenjing Liu, Ting Zhou and Yuanzhang Sun, “Adaptive integrating assessment method for transient stability of power system considering missing data,”, Automation of Electric Power Systems, vol. 45, no.23, pp. 68-75, 2021. (in Chinese, EI)
• [J4] Bendong Tan, Jun Yang, Ting Zhou, Xiangpeng Zhan, Yuan Liu, Shengbo Jiang and Chao Luo, “Spatial-temporal adaptive transient stability assessment for power system under missing data,” International Journal of Electrical Power & Energy Systems, vol.123, pp.106237, 2020.[PDF]
• [J3] Ting Zhou, Jun Yang, Qiangming Zhou, Bendong Tan, Yue Zhou, Jian Xu and Yuanzhang Sun, “Power System Transient Stability Assessment Based on Modified LightGBM,”, Power System Technology, vol.43, no.6, pp.1931-1940, 2019. (in Chinese, EI)[PDF]
• [J2] Bendong Tan, Jun Yang, Qiupin Lai, Peiyuan Xie, Jun Li and Jian Xu, “Data augmentation method for power system transient stability assessment based on improved conditional generative adversarial network,” Automation of Electric Power Systems, vol.43, no.1, pp.149-157, 2019. (in Chinese, EI)[PDF]
• [J1] Bendong Tan, Jun Yang, et al. “A deep imbalanced learning framework for transient stability assessment of power system,”, IEEE Access, vol.7, pp.81759-81769, 2019.

📝 Conference Papers

• [C9] Ketian Ye, Junbo Zhao, Mingguo Hong, Slava Maslennikov, Bendong Tan and Xiaochuan Luo, “Power system overloading risk assessment considering topology and renewable uncertainties,” in 2024 IEEE Power & Energy Society General Meeting (PESGM), 2024. (Accepted)
• [C8] Bendong Tan, Jiangkai Peng, Ningchao Gao, Junbo Zhao and Jin Tan, “Comparative study of data-driven area inertia estimation approaches on WECC power systems,” in 2024 IEEE Power & Energy Society General Meeting (PESGM), 2024. (Accepted)
• [C7] Bendong Tan, Junbo Zhao, Daniel Adrian Maldonado and Jason Philhower, “Time-varying inertia estimation for inverter-based resources,” in 2023 IEEE Power & Energy Society General Meeting (PESGM), 2023.
• [C6] Bendong Tan, Junbo Zhao, Tong Su, Qiuhua Huang, Yingchen Zhang and Hongming Zhang, “Explainable Bayesian neural network for probabilistic transient stability analysis considering wind energy,” in 2022 IEEE Power & Energy Society General Meeting (PESGM), pp. 1-5, 2022. (Best Paper Award)
• [C5] Bendong Tan, Junbo Zhao, Weijia Liu and Nan Duan, “Interpretable data-driven probabilistic power system load margin assessment with uncertain renewable energy and loads,” in 11th International Conference on Innovative Smart Grid Technologies (Asia), 2022. (Best Paper Award)
• [C4] Bendong Tan, Junbo Zhao, Federico Milano, Qiupin Lai, Yingchen Zhang and Daniel Adrian Maldonado, “Extended frequency divider for bus frequency estimation considering virtual inertia from DFIGs,” in 2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America (ISGT Latin America), pp. 1-5, 2021.
• [C3]Bi Liu, Junbo Zhao, Qi Huang, Federico Milano, Bendong Tan and Weihao Hu, “Robust Nonlinear Controller for Wind Turbine Generator Drivetrain Torsional Oscillation under Large Disturbances,” in 2021 IEEE Power & Energy Society General Meeting (PESGM), Washington, DC, USA, 2021. (Best Paper Award)
• [C2] Bendong Tan, Jun Yang, Ting Zhou, Yi Xiao and Qiangming Zhou, “A novel temporal feature selection for time-Adaptive transient stability assessment,” in 2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), Bucharest, Romania, 2019, pp. 1-5.
• [C1] Bendong Tan, Jun Yang, Xueli Pan, Jun Li, Peiyuan Xie and Ciling Zeng, “Representational learning approach for power system transient stability assessment based on convolutional neural network,” in The Journal of Engineering, vol. 2017, no. 13, pp. 1847-1850, 2017.