目录
更新日期:2024年3月18日
姓 名 郑晓东 性 别
出生年月 籍贯 广东汕头市
民 族 汉族 政治面貌 中国共产党党员
最后学历 博士研究生 最后学位 工学博士
技术职称 副教授 导师类别 硕导
行政职务 Email eezhengxd@scut.edu.cn
工作单位 华南理工大学 邮政编码 510641
通讯地址 华南理工大学五山路381号
单位电话
个人主页 https://scholar.google.com/citations?user=IE4sCqkAAAAJ&hl=en
个人简介
郑晓东,华南理工大学电力学院副教授、硕士生导师
分别于2015年、2020年在华南理工大学获得工学学士、工学博士学位。曾在中国南方电网电力调度控制中心、新加坡南洋理工大学、南方电网科学研究院、西安交通大学、美国南卫理公会大学等机构开展学术研究和技术研发工作。
目前研究兴趣主要包括大电网优化调度、储能建模与调控、新能源的消纳、分布鲁棒优化算法、量子计算等。主持或参与多项科研项目。近五年发表论文三十余篇,获发明专利授权十余项,获省部级和行业科技奖励数项。
工作经历
2022年11月-2023年11月,美国南卫理公会大学(Southern Methodist University),博士后,合作导师:Dr. Jianhui Wang(IEEE Fellow)
2020年8月-2022年9月,中国南方电网有限责任公司、西安交通大学电气工程学院,联合培养博士后,合作导师:周保荣教高、王秀丽教授
2018年11月-2019年11月,新加坡南洋理工大学(Nanyang Technological University),电气与电子工程学院/能源研究院,助理研究员,合作导师:Dr. Yan Xu
教育经历
2017年9月-2020年6月,华南理工大学,电力系统及其自动化,博士,导师为:陈皓勇
2015年9月-2017年6月,华南理工大学,电力系统及其自动化,硕士,导师为:陈皓勇
2011年9月-2015年6月,华南理工大学,电力系统及其自动化,学士
获奖、荣誉称号
2023年  MPCE Excellent Reviewer Award
2022年  教育部高等学校优秀科研成果奖技术进步二等奖
2022年  南方电网科学研究院科技进步一等奖
2021年  南方电网科学研究院科技进步一等奖
2021年  广东电力科学技术论文二等奖,排名第一
2021年  中电联电力科技创新奖二等奖(专利成果)
2011~2014 年  教育部国家奖学金
社会、学会及学术兼职
- IEEE Member
- IEEE ISV-CWG(The China working Group of IEEE Smart Village Committee)华南理工大学学生分会副主席
- 担任Protection and Control of Modern Power Systems、《电力系统保护与控制》期刊编委
- 担任期刊Energies专刊“Recent Advances in Industrial Mathematics and Applications for Current Smart Energy System”、期刊Artificial Intelligence and Applications专刊“Utilizing Deep Learning and Statistical Theory in the Context of Smart Grids”、期刊Frontiers in Electronics专刊“Intelligent and Optimal Planning, Operation, and Control of Modern Mobile Energy Systems”的客座编委(Guest Editor)
- 担任IEEE Transactions on Power Systems,IEEE Transactions on Smart Grid,IEEE Transactions on Sustainable Energy,IEEE Transactions on Industrial Informatics,IEEE Transactions on Industry Applications,IEEE Systems Journal,IEEE Access,Renewable Energy,Applied Energy,International Journal of Electrical Power & Energy Systems,IET Generation, Transmission & Distribution,IET Renewable Power Generation,CSEE Journal of Power and Energy Systems,Journal of Modern Power System and Clean Energy等十余家电力与能源领域权威期刊的审稿人
研究领域
应用方面:
大电网优化调度、储能建模与调控、新能源消纳、电力市场
理论方面:
分布鲁棒优化算法、量子计算、统计机器学习等
科研项目
(1)国家重点研发计划专项课题,2022YFB2403500,考虑一次能源供给的源荷综合平衡协同优化技术研究,2022-11 至 2026-10,536万元, 在研, 参与
(2)国家自然科学基金重点项目,综合能源系统的动力学模型及规划、运行基础理论研究,2019-2024,300万元,在研,参与
(3)广东省重点领域研发计划项目,2021B0101230004,大规模海上风电与天然气发电融合多能互补关键技术的研发,2021-08 至 2024-08,3450万元,在研,参与
(4)企业科技项目,ZBKJXM20170210,西部大规模水电参与南方区域电力现货市场出清模拟研究,2019-02 至 2021-09,369.5万元,结题,参与
(5)企业科技项目,支持云南丰期全清洁能源发电的电网优化技术与市场机制研究,2018.09-2021.11,630万元,结题,参与
(6)企业科技项目,面向高比例新能源接入的快速频率响应技术与市场体系研究及示范应用,2021.06-2024.06,1000万元,在研,参与
(7)企业科技项目,“双碳”目标下新型电力系统的形态及演化路径研究,2021.06-2024.06,2400万元,在研,参与。
(8)企业科技项目,考虑不确定性的实时调度计划优化系统研究,2016-2018,320万元,结题,参与
(9)国家重点研发计划子任务,高比例可再生能源并网的电力系统规划与运行基础理论,2016-2021,140万元,结题,参与
(10)国家高技术研究发展863计划子课题,多类型新能源发电综合消纳的关键技术,2012-2015,283.2万元,结题,参与
(11)国家自然科学基金面上项目,基于微分博弈理论的电力系统最优协调电压控制研究,2012-2015,58万元,结题,参与
(12)国家自然科学基金优秀青年科学基金项目,电力系统调度与控制,2014-2016,100万元,结题,参与。
发表论文
[1] X. Zheng, J. Wang, and M. Yue, “A Fast Quantum Algorithm for Searching the Quasi-Optimal Solutions of Unit Commitment,” IEEE Transactions on Power Systems, pp. 1–4, 2024, doi: 10.1109/TPWRS.2024.3350382.
[2] B. Tan, S. Chen, Z. Liang, X. Zheng, Y. Zhu, and H. Chen, “An iteration-free hierarchical method for the energy management of multiple-microgrid systems with renewable energy sources and electric vehicles,” Applied Energy, vol. 356, p. 122380, Feb. 2024, doi: 10.1016/j.apenergy.2023.122380.
[3] X. Zheng, H. Chen, Y. Xu, Z. Liang, and Y. Chen, “A Hierarchical Method for Robust SCUC of Multi-Area Power Systems With Novel Uncertainty Sets,” IEEE Trans. Power Syst., vol. 35, no. 2, pp. 1364–1375, Mar. 2020, doi: 10.1109/TPWRS.2019.2939395.
[4] Z. Li, Y. Xu, L. Wu, and X. Zheng, “A Risk-Averse Adaptively Stochastic Optimization Method for Multi-Energy Ship Operation Under Diverse Uncertainties,” IEEE Transactions on Power Systems, vol. 36, no. 3, pp. 2149–2161, May 2021, doi: 10.1109/TPWRS.2020.3039538.
[5] Z. Li, Y. Xu, S. Fang, Y. Wang, and X. Zheng, “Multiobjective Coordinated Energy Dispatch and Voyage Scheduling for a Multienergy Ship Microgrid,” IEEE Transactions on Industry Applications, vol. 56, no. 2, pp. 989–999, Mar. 2020, doi: 10.1109/TIA.2019.2956720.
[6] X. Zheng and H. Chen, “Data-Driven Distributionally Robust Unit Commitment With Wasserstein Metric: Tractable Formulation and Efficient Solution Method,” IEEE Transactions on Power Systems, vol. 35, no. 6, pp. 4940–4943, Nov. 2020, doi: 10.1109/TPWRS.2020.3014808.
[7] Z. Li, L. Wu, Y. Xu, and X. Zheng, “Stochastic-Weighted Robust Optimization Based Bilayer Operation of a Multi-Energy Building Microgrid Considering Practical Thermal Loads and Battery Degradation,” IEEE Transactions Sustainable Energy, vol. 13, no. 2, pp. 668–682, Apr. 2022, doi: 10.1109/TSTE.2021.3126776.
[8] K. Qu, X. Zheng, X. Li, C. Lv, and T. Yu, “Stochastic Robust Real-Time Power Dispatch With Wind Uncertainty Using Difference- of-Convexity Optimization,” IEEE Transactions on Power Systems, vol. 37, no. 6, pp. 4497–4511, Nov. 2022, doi: 10.1109/TPWRS.2022.3145907.
[9] X. Zheng, H. Chen, Y. Xu, Z. Li, Z. Lin, and Z. Liang, “A mixed-integer SDP solution to distributionally robust unit commitment with second order moment constraints,” CSEE Journal of Power and Energy Systems, vol. 6, no. 2, pp. 374–383, Jun. 2020, doi: 10.17775/CSEEJPES.2019.00930.
[10] A. Zhou, M. Yang, X. Zheng, and S. Yin, “Distributionally Robust Unit Commitment Considering Unimodality-Skewness Information of Wind Power Uncertainty,” IEEE Transactions on Power Systems, vol. 38, no. 6, pp. 5420–5431, Nov. 2023, doi: 10.1109/TPWRS.2022.3230320.
[11] K. Qu, Y. Chen, S. Xie, X. Zheng, and J. Zhu, “Segmented Distributionally Robust Optimization for Real-Time Power Dispatch With Wind Uncertainty,” IEEE Transactions on Power Systems, pp. 1–14, 2023, doi: 10.1109/TPWRS.2023.3303313.
[12] B. Tan, Z. Lin, X. Zheng, F. Xiao, Q. Wu, and J. Yan, “Distributionally robust energy management for multi-microgrids with grid-interactive EVs considering the multi-period coupling effect of user behaviors,” Applied Energy, vol. 350, p. 121770, Nov. 2023, doi: 10.1016/j.apenergy.2023.121770.
[13] F. Shen et al., “Transactive Energy Based Sequential Load Restoration of Distribution Systems With Networked Microgrids Under Uncertainty,” IEEE Transactions on Smart Grid, pp. 1–1, 2023, doi: 10.1109/TSG.2023.3322682.
[14] J. Lv, X. Zheng, M. Pawlak, W. Mo, and M. Miśkowicz, “Very short-term probabilistic wind power prediction using sparse machine learning and nonparametric density estimation algorithms,” Renewable Energy, vol. 177, pp. 181–192, Nov. 2021, doi: 10.1016/j.renene.2021.05.123.
[15] X. Zheng et al., “Day-ahead Network-constrained Unit Commitment Considering Distributional Robustness and Intraday Discreteness: A Sparse Solution Approach,” Journal of Modern Power Systems and Clean Energy, vol. 11, no. 2, pp. 489–501, 2023, doi: 10.35833/MPCE.2021.000413.
[16] X. Zheng, Y. Xu, Z. Li, and H. Chen, “Co‐optimisation and settlement of power‐gas coupled system in day‐ahead market under multiple uncertainties,” IET Renewable Power Gen, vol. 15, no. 8, pp. 1632–1647, Jun. 2021, doi: 10.1049/rpg2.12073.
[17] X. Zheng, K. Qu, J. Lv, Z. Li, and B. Zeng, “Addressing the Conditional and Correlated Wind Power Forecast Errors in Unit Commitment by Distributionally Robust Optimization,” IEEE Trans. Sustain. Energy, vol. 12, no. 2, pp. 944–954, Apr. 2021, doi: 10.1109/TSTE.2020.3026370.
[18] X. Zheng et al., “Loss-Minimizing Generation Unit and Tie-Line Scheduling for Asynchronous Interconnection,” IEEE J. Emerg. Sel. Topics Power Electron., vol. 6, no. 3, pp. 1095–1103, Sep. 2018, doi: 10.1109/JESTPE.2017.2783930.
[19] K. Qu, X. Zheng, and T. Yu, “Environmental-Economic Unit Commitment With Robust Diffusion Control of Gas Pollutants,” IEEE Trans. Power Syst., vol. 38, no. 1, pp. 818–834, Jan. 2023, doi: 10.1109/TPWRS.2022.3166264.
[20] X. Zheng, H. Chen, Y. Xu, F. Shen, and Z. Liang, “Global solution method for decentralised multi‐area SCUC and savings allocation based on MILP value functions,” IET Generation, Transmission & Distribution, vol. 14, no. 16, pp. 3230–3240, Aug. 2020, doi: 10.1049/iet-gtd.2020.0438.
[21] 郑晓东, 陈皓勇, 陈亦平, and 莫维科, “电力系统二级电压控制的合作博弈模型,” 电力系统自动化, vol. 40, no. 15, pp. 32–38, 2016.
[22] Z. Li, Y. Xu, S. Fang, X. Zheng, and X. Feng, “Robust Coordination of a Hybrid AC/DC Multi-Energy Ship Microgrid With Flexible Voyage and Thermal Loads,” IEEE Trans. Smart Grid, vol. 11, no. 4, pp. 2782–2793, Jul. 2020, doi: 10.1109/TSG.2020.2964831.
[23] Xiaodong Zheng, Haoyong Chen, Chuyao He, Weike Mo, and Yiping Chen, “Cooperative game model for power system secondary voltage control,” in 2016 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Xi’an, China: IEEE, Oct. 2016, pp. 43–47. doi: 10.1109/APPEEC.2016.7779467.
[24] B. Tan, H. Chen, X. Zheng, and J. Huang, “Two-stage robust optimization dispatch for multiple microgrids with electric vehicle loads based on a novel data-driven uncertainty set,” International Journal of Electrical Power & Energy Systems, vol. 134, p. 107359, Jan. 2022, doi: 10.1016/j.ijepes.2021.107359.
[25] S. Xie, Y. Xu, and X. Zheng, “On Dynamic Network Equilibrium of a Coupled Power and Transportation Network,” IEEE Trans. Smart Grid, vol. 13, no. 2, pp. 1398–1411, Mar. 2022, doi: 10.1109/TSG.2021.3130384.
[26] X. Zheng, B. Zhou, and Y. Chen, “Extremal-Distribution-Based Cutting Plane Algorithm for Efficiently Solving Two-Stage Distributionally Robust Unit Commitment Problems,” in 2021 IEEE 5th Conference on Energy Internet and Energy System Integration (EI2), Taiyuan, China: IEEE, Oct. 2021, pp. 225–230. doi: 10.1109/EI252483.2021.9713510.
科研创新
(1) 郑晓东; 陈明媛; 周保荣; 祁乐; 张旻钰; 宋吉峰; 杨有慧; 禤培正; 程兰芬; 王嘉阳 . 一种燃气发电机组启停-出力-备用联合优化方法及装置, 2023-8-22, 中国, ZL202210648680.2
(2) 郑晓东; 周保荣; 程兰芬; 禤培正 . 一种电力系统有功调度优化的方法、装置和可读存储介质,2022-12-06, 中国, ZL202011467408.1
(3) 陈亦平; 郑晓东; 侯君; 张勇; 杜旭; 王巍; 莫维科; 高琴; 杨荣照; 陈静鹏; 陈巨龙 . 一种异步联网的直流功率计划优化方法、系统及装置, 2021-5-4, 中国, ZL201711147638.8
(4) 陈亦平; 郑晓东; 侯君; 张勇; 王巍; 杜旭; 陈静鹏; 莫维科; 高琴; 杨荣照 . 一种区域间日前发输电计划的优化方法、系统及装置, 2021-5-4, 中国, ZL201710983582.3
(5) 单政博;陈亦平;候方迪;何剑军;张勇;侯君;辛阔;方必武;杜旭;李慧勇;陈静鹏;郑晓东;杨荣照. 一种送电计划与抽水储能发电计划优化方法及系统[P]. CN108365637B.
陈亦平;杨荣照;张勇;侯君;黄汉昌;莫维科;高琴;翟哲;杜旭;郑晓东;吴小刚. 基于状态空间分析的水轮机调速器参数整定方法及系统[P]. CN108107720B.
(6) 陈亦平;高琴;侯君;张勇;杨林;徐克强;杜旭;莫维科;郑晓东;杨荣照;吴小刚. 一种自动发电控制频率偏差系数的设定方法、系统及装置[P]. CN108054766B.
(7) 陈亦平;杨荣照;莫维科;侯君;张勇;郑晓东;高琴;陈巨龙;黄汉昌;翁振星;楼楠;徐克强. 异步联网系统换相失败冲击下的频率波动分析方法及系统[P]. CN106780122B.
(8) 陈亦平;莫维科;张勇;侯君;杨林;高琴;杨荣照;郑晓东;黄汉昌;翟哲;杜旭. 一种基于灵敏度分析的水轮机调速器参数整定方法及系统[P]. CN107942664B.
(9) 陈亦平;杨荣照;侯君;张勇;徐克强;杜旭;高琴;郑晓东;莫维科;翟哲;王巍. 一种直流频率限制器控制模型的DSP实现方法及系统[P]. CN107918314B.
(10) 陈亦平;郑晓东;莫维科;侯君;张勇;陈巨龙;黄汉昌;楼楠;高琴;杨荣照;王子强;王巍. 一种异步电网直流闭锁动态频率监测与安全校核方法[P]. CN106786714B.
(11) 陈亦平;莫维科;高琴;侯君;张勇;王子强;楼楠;郑晓东;陈巨龙;黄汉昌;徐克强;翁振星. 一种水电机组经直流送出系统的调速器参数整定方法[P]. CN106777944B.
(12) 陈亦平;高琴;莫维科;侯君;张勇;何越;陈巨龙;黄汉昌;王子强;徐克强;郑晓东;杨荣照. 一种基于频率变化率的AGC紧急控制方法及系统[P]. CN106549422B.
教学活动
《电力经济与管理导论》
指导学生情况
每年招收硕士研究生2名
我的团队
“新能源电力系统”研究团队(https://mp.weixin.qq.com/s/tDRvIo61tQ51leZem_fMzw)