职称: 讲师 研究方向: 人工智能在电力系统中的应用、新能源电力系统优化 Email: 101013887@seu.edu.cn 办公电话: 19502203089 |
个人简介:
张斌,博士,本科毕业于河海大学,硕士毕业于电子科技大学,博士毕业于丹麦奥尔堡大学。 2025年加入东南大学电气工程学院。
论著:
Bin Zhang, Weihao Hu, Di Cao, Amer M.Y. M. Ghias, and Zhe Chen*, Novel data-driven decentralized coordination model for electric vehicle aggregator and energy hub entities in multi-energy system using an improved multi-agent DRL approach, Applied Energy, vol. 339, pp. 120902, 2023.
Bin Zhang, Xiao Xu, Weihao Hu, Zhe Chen, Two-timescale autonomous energy management model based on multi-agent deep reinforcement learning approach for residential multicarrier energy system, Applied Energy, vol. 351, no. 121777, 2023.
Bin Zhang, Di Cao, Weihao Hu, and Zhe Chen. Physics-informed multi-agent deep reinforcement learning enabled distributed voltage control for active distribution network, International Journal of Electrical & Power System, vol. 155, no. 109641, 2024.
Bin Zhang, Weihao Hu, Xiao Xu, Zhenyuan Zhang, Zhe Chen, Hybrid data-driven method for low-carbon economic energy management strategy in electricity-gas coupled energy systems based on transformer network and deep reinforcement learning, Energy, vol. 273, no. 127183, 2023.
Bin Zhang, Weihao Hu, Amer M.Y.M. Ghias, Xiao Xu, Zhe Chen, Multi-agent deep reinforcement learning based distributed control architecture for interconnected multi-energy microgrid energy management and optimization, Energy Conversion and Management, vol. 277, no. 116647, 2023.
Xuewei Wu, Bin Zhang, Mads Nielsen, Zhe Chen. Multi-stage planning of integrated electricity-gas-heating system in the context of carbon emission reduction, Applied Energy, vol. 358, no. 122584, 2024.
胡维昊, 曹迪, 黄琦, 张斌, 李思辰, 陈哲. 深度强化学习在配电网优化运行中的应用[J]. 电力系统自动化, 2023, 47 (14): 174-191.
Tao Li, Weihao Hu, Bin Zhang, Guozhou Zhang, Jian Li, Zhe Chen, Frede Blaabjerg, Mechanism analysis and real-time control of energy storage based grid power oscillation damping: A soft actor-critic approach, IEEE Transactions on Sustainable Energy, vol. 12, no. 4, pp. 1915-1926, 2021.