姓名：郑熙东
性别：男
职称：副研究员（校聘），讲师，硕导
学位：博士
电子邮件： xidong.zheng@fzu.edu.cn
研究方向： 高比例新能源电力系统运行与规划，微电网与分布式能源优化调度，电力市场与需求侧管理，人工智能在电力系统中的应用
教育工作经历
2025.9~至今 福州大学，电气工程与自动化学院，讲师
2023.7~2024.8 澳大利亚昆士兰大学，电气工程与计算机科学学院，国家留学基金委（CSC）公派访学博士
2021.9~2025.6 福州大学，电气工程与自动化学院，博士
2018.9~2021.3 福州大学，电气工程与自动化学院，硕士
2017.2~2017.2 英国剑桥大学，交流访学
2014.9~2018.6 福州大学，电气工程与自动化学院，学士
科研简介
福州大学“旗山学者”，入选首届中国科协青年人才托举工程博士生专项计划（托举学会：中国电机工程学会），参与2025年“领航计划”青年科技人才国情研修活动，获国家留学基金委国家建设高水平大学公派研究生项目（与澳大利亚昆士兰大学合作奖学金）、福州大学优秀博士毕业生（福州大学毕业典礼博士研究生代表发言）、博士研究生国家奖学金、福州大学“学术达人”（校十佳）、博士研究生综合优秀奖学金特等奖等。以第一作者在《IEEE Transactions on Industrial Electronics》等高水平SCI/EI期刊发表论文11篇，其中SCI一区Top期刊5篇。
学术论文
[1] X. Zheng, T. Jin. A new macro dynamic demand response strategy considering micro power quality disturbance for wind-storage integrated system[J]. IEEE Transactions on Industrial Electronics, 2024, 71(8), 8993-9002.
[2] X., H. Chen, T. Jin. A new optimization approach considering demand response management and multistage energy storage: A novel perspective for Fujian Province[J]. Renewable Energy, 2024, 220, 119621.
[3] X. Zheng, F. Bai, Z., T. Jin. A new methodology to improve wind power prediction accuracy considering power quality disturbance dimension reduction and elimination[J]. Energy, 2024, 287, 129638.
[4] X. Zheng, F. Bai, Z. Zhuang, Z. Chen, T. Jin. A new demand response management strategy considering renewable energy prediction and filtering technology[J]. Renewable Energy, 2023, 211, 656-668.
[5] X. Zheng, S. Zhou, T. Jin. A new machine learning-based approach for cross-region coupled wind-storage integrated systems identification considering electricity demand response and data integration: A new provincial perspective of China[J]. Energy, 2023, 283, 129141.
[6] X. Zheng, F. Bai, T. Jin. Assessing customer-side demand response identification for optimal scheduling considering satisfaction level for microgrids[J]. International Journal of Electrical Power & Energy Systems, 2025, 164, 110368.
[7] X. Zheng, F. Bai, Z. Zhuang, T. Jin. A novel hierarchical power allocation strategy considering severe wind power fluctuations for wind-storage integrated systems[J]. International Journal of Electrical Power & Energy Systems, 2023, 153, 109363.
[8] X. Zheng, Z. Gong, Z. Liu, Z. Li, D. Yuan, T. Jin. Research on Start-stop standby energy storage element participating in wind power filtering under the influence of power quality disturbance[J]. International Journal of Electrical Power & Energy Systems, 2023, 145, 108631.
[9] X. Zheng, T. Jin. A reliable optimization method of hybrid energy storage system based on standby storage element and secondary entropy strategy[J]. International Journal of Electrical Power & Energy Systems, 2021, 131, 107088.
[10] X. Zheng, T. Jin. A reliable method of wind power fluctuation smoothing strategy based on multidimensional non-linear exponential smoothing short-term forecasting[J]. IET Renewable Power Generation, 2022, 16(16), 3573-3586.
[11] X. Zheng, X. Jiang. Power fluctuation and allocation of hybrid energy storage system based on optimal exponential smoothing method and energy entropy[J]. IET Generation, Transmission & Distribution, 2021, 15(3), 533-545.
[12] X. Zheng, J. Li, H. Chen, W. Wang, Q. Huang, T. Jin. Impact of Demand Response on Abnormal Electricity Consumption Behavior: A Data-Driven Analysis[C]. 2025 International Conference on New Power System Technology (PowerCon), Hefei, China, 2025, pp. 1-5, doi: 10.1109/PowerCon66300.2025.11295453.
招生计划
课题组长期围绕新能源电力系统规划与运行优化、可再生能源多能互补、智能微电网调度与控制、需求响应与电力市场等方向开展理论与应用研究。欢迎电气工程、能源与动力工程、自动化、计算机及相关专业的硕士研究生报考，也欢迎优秀本科生参与科研训练与毕业设计。注重培养学生独立思考、系统建模与工程实践能力，支持参与学术会议、发表高水平论文，并提供实习与交流访学机会。鼓励面向国家“双碳”战略与新型电力系统建设需求，开展具有创新性与实用价值的研究。
欢迎通过电子邮件与我联系，期待与你共同探索电力系统的未来！
