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个人简介

教育背景 2009-2013,北京工业大学,学士学位 2012-2013,美国新墨西哥州立大学,交换生(公派+全额奖学金) 2013-2015,美国史蒂文斯理工学院,硕士学位 2015-2020,美国纽约州立大学宾汉姆顿分校,博士学位(全额奖学金+连续四年教务长奖学金 Provost‘s Doctoral Fellowships) 工作经历 2019 年 6-8月,New York Power Authority,Advanced Grid Innovation Lab for Energy,Transmission Planning Developmental Intern 2020 年-至今,北京交通大学,师资博士后

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Q. Sun, X. Wang, Z. Liu*, S. Mirsaeidi, J. He, W. Pei, Multi-agent energy management optimization for integrated energy systems under the energy and carbon co-trading market, Applied Energy, 2022. (SCI) Z. Ding, X. Huang, Z. Liu and Z. Zhang, "A Two-level Scheduling Algorithm for Battery Systems and Load Tap Changers Coordination in Distribution Networks," in IEEE Transactions on Power Delivery, doi: 10.1109/TPWRD.2021.3121368. (SCI) Q. Sun, X. Wang, Z. Liu, Dynamic Energy Dispatch Strategy for Integrated Energy System Based on Constrained Reinforcement Learning, in CSEE Journal of Power and Energy Systems, 2022. (SCI) Z. Shi, Y. Xu, Y. Wang, J. He, G. Li, and Z. Liu, “Coordinating Multiple Resources for Emergency Frequency Control in the Energy Receiving-End Power System with HVDCs,” IEEE Transactions on Power Systems, 2022. (SCI) Z. Liu, J. Li, P. Zhang, Z. Ding, Y. Zhao, An AGC Dynamic Optimization Method Based on Proximal Policy Optimization, in Frontiers in Energy Research, section Smart Grids, 2022 (SCI) Z. Ding, X. Huang and Z. Liu*, "Active Exploration by Chance-Constrained Optimization for Voltage Regulation with Reinforcement Learning." Energies 15.2 (2022): 614. (SCI) Z. Zhu, P. Zhang, Z. Liu*, J. Wang, Static Voltage Stability Assessment Using Random Under Sampling Bagging BP Method, Processes, 2022. (SCI) Wang, X.; Wang, X.; Liu, Y.; Xiao, C.; Zhao, R.; Yang, Y.; Liu, Z*, A Sustainability Improvement Strategy of Interconnected Data Centers Based on Dispatching Potential of Electric Vehicle Charging Stations. Sustainability 2022, 14, 6814. (SCI) W. Huang, G. Luo, M. Cheng, J. He, Z. Liu and Y. Zhao, "Protection Method Based on Wavelet Entropy for MMC-HVDC Overhead Transmission Lines", Energies, 2021, 14. (SCI) X. Huang, Z. Zhang, Z. Ding and Z. Liu, "Optimal Aggressive Level-based Offering Method for Hybrid PV Plants," 2022 IEEE 5th International Electrical and Energy Conference (CIEEC), 2022, pp. 109-114, doi: 10.1109/CIEEC54735.2022.9846641. (Best Paper Award) Z. Ding, X. Huang, Z. Liu and Z. Zhang, "Validation of a Behind-the-meter BESS Control with degradation Cost by Hardware Experiments," 2021 IEEE 2nd China International Youth Conference on Electrical Engineering (CIYCEE), 2021, pp. 1-5, doi: 10.1109/CIYCEE53554.2021.9676800. (Best Presentation Award) Z. Liu, X. Wang, C. Xiao, Y. Liu, X. Wang, Y. Li, Q. Han, "Dispatch Potential Evaluation of Generalized Electric Vehicle Charging Stations Based on Traffic Flow," 2022 IEEE 5th International Electrical and Energy Conference (CIEEC), 2022, pp. 4226-4231, doi: 10.1109/CIEEC54735.2022.9846457. G. Xue, C. Wu, Z. Xu and Z. Liu, "An Economic study of Power Secondary Frequency Regulation with Different Energy Storage Systems," 2022 IEEE 5th International Electrical and Energy Conference (CIEEC), 2022, pp. 4448-4454, doi: 10.1109/CIEEC54735.2022.9846511. 李宏浩,张沛,刘曌*,基于深度强化学习的暂态稳定紧急控制决策方法[J/OL].电力系统自动化,2022 蔺伟山,王小君,孙庆凯,刘曌,和敬涵,蒲天骄,不确定性环境下基于深度强化学习的综合能源系统动态调度[J].电力系统保护与控制,2022,50(18):50-60. 王怡,王小君,孙庆凯,张义志,刘曌,和敬涵.基于能量共享的综合能源系统群多主体实时协同优化策略[J/OL].电力系统自动化:1-16[2021-10-5].http://kns.cnki.net/kcms/detail/32.1180.TP.20211021.1559.004.html. 孙庆凯,王小君,王怡,张义志,刘曌,和敬涵.基于多智能体Nash-Q强化学习的综合能源市场交易优化决策[J/OL].电力系统自动化:1-17[2021-06-01].http://kns.cnki.net/kcms/detail/32.1180.TP.20210528.1111.010.html. 蔺伟山,王小君,孙庆凯,王希豪,刘 曌,和敬涵, 安全约束下基于深度强化学习的综合能源系统优化调度策略研究, 电网技术,2022 张沛,朱驻军,刘曌,刘晓菲,李宏浩,基于RReliefF-BP网络的新型电力系统静态电压稳定在线评估方法,南方电网技术,2022

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