Bin Huang

Bin Huang

Phd Candidate at Southern Methodist University

Publications

Journals

  1. B. Huang, T. Zhao, M. Yue and J. Wang, “Bi-Level Adaptive Storage Expansion Strategy for Microgrids Using Deep Reinforcement Learning,” in IEEE Transactions on Smart Grid, doi: 10.1109/TSG.2023.3312225. Link

  2. B. Huang and J. Wang,“Adaptive Static Equivalences for Active Distribution Networks with Massive Renewable Energy Integration: A Distributed Deep Reinforcement Learning Approach,” in IEEE Transactions on Network Science and Engineering, doi:10.1109/TNSE.2023.3272794. Link

  3. B. Huang and J. Wang,“Physics-informed Neural Network and its Application on Power System: A Review”. IEEE Trans. on Power Systems. 38(1), 572-588, 2023. Link

  4. B. Huang and J. Wang, “Deep Reinforcement Learning-based Capacity Scheduling for PV-Battery Storage System,” IEEE Trans. on Smart Grid, 12(3), 2272-2283, 2020. Link

  5. B. Huang, Z. Li, J. H. Zheng, and Q. H. Wu,“Probabilistic active distribution network equivalence with correlated uncertain injections for grid analysis,” IET Renewable Power Generation, 14(11), July. 2020. Link

  6. B. Huang, P. Li, J. H. Zheng, and Q. H. Wu, “A Modified Ward Equivalent Based on Sensitivity Matrices for Static Security Analysis,” IEEJ Trans. Electr. Electron. Eng., vol. 13, pp. 1675-1676, May. 2018. Link

Conference Proceedings

  1. B. Huang, X. Y. Shang, J. H. Zheng, Z. Li, Q. H. Wu and X. X. Zhou, “Electrical Network Equivalent Modeling Method with Boundary Buses Interconnected,” 2019 IEEE PES GTD Grand International Conference and Exposition Asia (GTD Asia), Bangkok, Thailand, 2019, pp. 429-434, doi: 10.1109/GTDAsia.2019.8716015. Link

  2. Y. Ji, X. Zhang, X. Wang, X. Huang, B. Huang, J. H. Zheng, Z. Li, “An Equivalent Modeling Method for Multi-port Area Load Based on the Extended Generalized ZIP Load Model,” 2018 International Conference on Power System Technology (POWERCON), Guangzhou, China, 2018, pp. 553-558, doi: 10.1109/POWERCON.2018.8601588. Link

Preprints

  1. B. Huang, J. Li, and J. Wang, “An Evidential Reasoning Based Approach to Building Node Selection Criterion for Network Reduction”. arXiv preprint arXiv:2012.13684. Link