Publications

Journal Papers

[1] H. Shuai, J. K. Fang, X. M. Ai, Y. F. Tang, J. Y. Wen, and H. B. He, Stochastic Optimization of Economic Dispatch for Microgrid Based on Approximate Dynamic Programming," IEEE Transactions on Smart Grid, vol. 10, no. 3, pp. 2440-2452, 2019. doi :10.1109/TSG.2018.2798039. (ESI Highly Cited Paper）

[2] H. Shuai, J. K. Fang, X. M. Ai, J. Y. Wen, and H. B. He, Optimal Real-Time Operation Strategy for Microgrid: An ADP Based Stochastic Nonlinear Optimization Approach," IEEE Transactions on Sustainable Energy, vol. 10, no. 2, pp. 931-942, 2019. doi: 10.1109/TSTE.2018.2855039. (ESI Highly Cited Paper)

[3] H. Shuai, J. K. Fang, X. M. Ai, W.Yao, J. Y. Wen, and H. B. He, On-line Energy Management of Microgrid via Parametric Cost Function Approximation," IEEE Transactions on Power Systems , vol. 34, no. 4, pp. 3300-3302, 2019. doi:10.1109/TPWRS.2019.2912491.

[4] H. Shuai, X. M. Ai, J. K. Fang, T. Ding, Z. Chen, and J. Y.Wen, "Real-Time Optimization of the Integrated Gas and Power Systems Using Hybrid Approximate Dynamic Programming," International Journal of Electrical Power & Energy Systems, vol. 118, pp. 105776, 2020. doi:10.1016/j.ijepes.2019.105776.

[5] H. Shuai, and H. B. He. Online Scheduling of a Residential Microgrid via Monte-Carlo Tree Search and a Learned Model," IEEE Transactions on Smart Grid. DOI: 10.1109/TSG.2020.3035127. (Early Access) PPT

[6] H. Shuai, F. Li, H. Pulgar-Painemal and Y. Xue, "Branching Dueling Q-Network Based Online Scheduling of a Microgrid With Distributed Energy Storage Systems," in IEEE Transactions on Smart Grid, doi: 10.1109/TSG.2021.3103405.

[7] H. Shuai, X. M. Ai, J. K. Fang, and J. Y. Wen, Double Deep Q-learning Based Real-Time Optimization Strategy for Microgrids," arXiv preprint arXiv:2107.12545, 2021

[8] H. Shuai, F. Li, B. She, X. Wang, J. Zhao. “Post-Storm Repair Crew Dispatch for Distribution Grid Restoration Using Stochastic Monte Carlo Tree Search and Deep Neural Networks,” International Journal of Electrical Power & Energy Systems, vol. 144, pp. 108477, 2023. doi:10.1016/j.ijepes.2022.108477.

[9] J. Zhao, F. Li, H. Sun, Q. Zhang and H. Shuai, "Self-attention Generative Adversarial Network Enhanced Learning Method for Resilient Defense of Networked Microgrids Against Sequential Events," in IEEE Transactions on Power Systems, 2022, doi: 10.1109/TPWRS.2022.3215510.

[10] X. Wang, F. Li, J. Zhao, M. Olama, J. Dong, H. Shuai, T. Kurugani. “Tri-level Hybrid Interval-Stochastic Optimal Scheduling for Flexible Residential Loads under GAN-assisted Multiple Uncertainties,” International Journal of Electrical Power & Energy Systems. (Accepted)

[11] M. L. Zhang, X. M. Ai, J. K. Fang, H. Shuai, W. Yao, H. B. He, and J. Y. Wen, Feasibility Identication and Computational Eciency Improvement for Two-stage RUC with Multiple Wind Farms," IEEE Transactions on Sustainable Energy, Early Access. doi:10.1109/TPWRS.2019.2912491.

[12] L. Zeng, W. Yao, H. Shuai, Y. Zhou, X. Ai and J. Wen, "Resilience Assessment for Power Systems Under Sequential Attacks Using Double DQN With Improved Prioritized Experience Replay," in IEEE Systems Journal, 2022, doi: 10.1109/JSYST.2022.3171240.

[13] H. Shuai, X. M. Ai, M. L. Zhang, J. K. Fang, and J. Y. Wen, Economic Dispatch the Integrated Gas and Power Systems Based on ADP under Demand Response," Electric Power Construction, vol. 39, no. 11, pp. 1-9, Nov. 2018. (In Chinese)

[14] C. Zhang, J. H. Yang, H. Shuai, K. A. Shu, and X. M. Ai, Research on Ancillary Services Market based on Inter-Regional Electricity Transactions in Central China Power Grid," Electric Power, vol. 50, no. 11, pp. 1-8, Nov. 2017. (In Chinese)

Conference Papers

[1] H. Shuai, H. He, and J. Wen, Post-Storm Vehicle Routing for Distribution Grid Restoration: An OLUCT Based Learning Approach," 2020 IEEE Power and Energy Society General Meeting.

[2] X. Z. Xue, X. M. Ai, J. K. Fang, W. Yao, J. Y. Wen, H. Shuai, and H. He, Real-time Energy Management for the Integrated Heat and Power System Using Approximate Dynamic Programming," 2020 IEEE Power and Energy Society General Meeting.

[3] Z. Wan, H. Li, H. Shuai, Y. L. Sun and H. He, "Adversarial Attack for Deep Reinforcement Learning Based Demand Response," 2021 IEEE Power & Energy Society General Meeting (PESGM), 2021, pp. 1-5, doi: 10.1109/PESGM46819.2021.9637826.

[4] H. Shuai, J. K. Fang, X. M. Ai, J. Y. Wen, and H. B. He, Hybrid Approximate Dynamic Programming Approach for Dynamic Optimal Energy Flow in the Integrated Gas and Power Systems," Proceedings of the 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2), Beijing, 2017, pp. 1-6. doi: 10.1109/EI2.2017.8245577. (Best Paper Award)

[5] F. Pan, Y. Xiao, G. Y. Lin, X. Xiao, and H. Shuai, Analysis of the Influencing Factors for the 500 kV DC Voltage Reference Divider Used for On-site Calibration," Proceedings of the 2015 12th IEEE International Conference on Electronic Measurement & Instruments (ICEMI'2015), Qingdao, 2015, pp. 25-29. doi: 10.1109/ICEMI.2015.7494180.