目录
更新日期:2024年11月5日
姓 名 刘云 性 别
出生年月 1988年10月 籍贯 西安市
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 博导
行政职务 Email lyscut@scut.edu.cn
工作单位 电力学院 邮政编码 510641
通讯地址 五山校区宏生科技楼624
单位电话
个人主页 www.researchgate.net/profile/Yun-Liu-40
工作经历
2021.01至今  华南理工大学,电力学院,副教授
2017.09-2021.12  深圳大学,机电与控制工程学院,特聘副研究员
2016.08-2017.09  南洋理工大学,能源研究中心,研究员(Research Fellow)
教育经历
2011.09-2016.06  浙江大学,电气工程学院,工学博士
2014.08-2015.09 中佛罗里达大学,电气工程和计算机科学,CSC联陪
2007.09-2011.06 浙江大学,竺可桢学院/电气工程学院,工学学士
获奖、荣誉称号
2023.12 IEEE Transactions on Power Systems杰出审稿人
2023.12 Journal of Modern Power System and Clean Energy优秀审稿人
2023.12 IEEE EI2 2023杰出审稿人
2019-2022    全球前2%顶尖科学家,Stanford University
2018.02 深圳市海外高层次人才C类,深圳市人力资源和社会保障局
2018.06 深圳市南山区C类“领航人才”,南山区人力资源局
2013.11 最佳论文奖,中国电机工程学会电力系统自动化专委会
2011.06 竺可桢特优荣誉证书,浙江大学
社会、学会及学术兼职
• 电气与电子工程协会高级会员 (IEEE Senior Member)
• IEEE PES 智慧楼宇、负荷与客户系统技术委员会(中国)副秘书长
• 国家自然科学基金评审专家
• 担任SCI期刊Protection and Control of Modern Power Systems, IET Smart Grid和Energies编委,中文EI核心期刊《电力系统保护与控制》的助理编辑,及20余本电力/能源权威学术期刊审稿人:IEEE Transactions on Power Systems, IEEE Transactions on Smart Grid, IEEE Transactions on Sustainable Energy, IEEE Journal of Emerging and Selected Topics in Power Electronics, IEEE Transactions on Industrial Application, IEEE Systems Journal, IEEE Access, IET Generation Transmission & Distribution, IET Renewable Power Generation, International Journal of Electrical Power and Energy Systems, Journal of Cleaner Production, CSEE Journal of Power and Energy Systems, Journal of Modern Power System and Clean Energy,中国电机工程学报,控制与决策等
• 担任IECON2020, ECCE-Asia 2021, IEEE EI2 2023等国际会议Special Session Chair
研究领域
研究方向包括:(1)新能源电力系统稳定分析、运行与控制;(2)稳定约束的电力电子化电力系统规划、运行与控制等。

应用领域包括:大规模新能源基地、微电网及主动配电网等。
科研项目
科研:
2025-2027 广东省自然科学基金面上项目,主持(即将开始)
2024-2026 广东省基础与应用基础研究基金青年提升项目,主持(在研)
2023-2025 国家重点研发计划“区块链”重点专项,子课题主持(在研)
2019-2021 国家自然科学基金青年项目,主持(结题)
2022-2024 广东省自然科学基金面上项目,主持(结题)
2022-2024 广州市科技计划项目,主持(结题)
2023-2024 新型电力系统运行与控制全国重点实验室开放课题,主持(在研)
2023-2025 2023年度中央高校基本科研业务费面上项目,主持(在研)
2024-2025 国网陕西经研院科技项目,主持(在研)
2021-2025 华南理工大学“双一流”建设启动基金,主持(在研)
2020-2022 深圳市新引进高端人才科研启动经费,主持(在研)
2019-2021 图像信息处理与智能控制教育部重点实验室开放基金,主持(结题)
2018-2020 深圳大学青年教师支持计划,主持(结题)

参与广东省基础与应用基础研究基金海上风电联合基金重点项目(排名第二)、国家863计划、国家自然科学基金面上项目、新加坡国家研究基金NRF等多项科研项目。

教学:
2023.06-2025.05 校级教研教改项目青年专项,主持(在研)
发表论文
截至目前本人论文的总被引次数为2400次,H因子为24(Google Scholar)。详细论文列表如下(*表示通讯作者):

新型电力系统的稳定、运行与控制(Stability analysis, Operation, and Control of New Power Systems)
[34] Liu Y*, Chen Y, Xin H, Xin H, Zhu J, Tu J, Zhang L, and Song M, “System strength constrained grid-forming energy storage planning in renewable power systems,” IEEE Transactions on Sustainable Energy, 2024, early access (JCR1区,中科院1区,Top期刊).
[33] Lai X, Liu Y*, Zhang X, Xin H, Zhu J, and Dai T, “Grid strength constrained cooperative control of renewable power plants for guaranteed small-signal stability,” IEEE Transactions on Power Systems, vol. 39, no. 6, pp. 7425-7428, 2024 (JCR1区,中科院1区,Top期刊).
[32] F Ma, H Xin, D Wu, Y Liu, X Chen,“Assessing small-signal grid strength of 100% inverter-based power systems,” IEEE Transactions on Power Delivery, 2024, early access (JCR2区,中科院2区).
[31] Y. Liu, X. Lai, H. Xin, J. Zhu, L. Huang, S. Xia, “Generalized short-circuit ratio based distributed real-time stability assessment of renewable power systems,” IEEE Transactions on Power Systems,  vol. 38, no. 6, pp. 5953-5956, 2023 (JCR1区,中科院1区,Top期刊).
[30] Y. Liu, Y. Li, H. Xin, H. Gooi, J. Pan, “Distributed optimal tie-line power flow control for multiple interconnected AC microgrids,” IEEE Transactions on Power Systems, vol. 34, no. 3, pp. 1869-1880, 2019 (JCR1区,中科院1区,Top期刊).
[29] Y. Liu, Z. Qu, H. Xin, and D. Gan, “Distributed real-time optimal power flow control in smart grid,” IEEE Transactions on Power Systems, vol. 32, no. 5, pp. 3403-3414, 2017 (JCR1区,中科院1区,Top期刊).
[28] Y. Liu, Y. Li, Y. Wang, J. Zhu, H. B. Gooi, H. Xin, “Distributed real-time multi-objective control of a virtual power plant in DC distribution systems,” IEEE Transactions on Power Delivery, 2021, early access (JCR1区,中科院2区).
[27] H. Xin, Y. Liu*, Z. Qu, D. Gan, “Distributed control and generation estimation method for integrating high-density photovoltaic systems,” IEEE Transactions on Energy Conversion, vol. 29, no. 4, pp. 988 - 996, 2014 (JCR1区,中科院1区,Top期刊).
[26] H. Xin, Y. Liu*, Z. Wang, D. Gan, T. Yang, “A new frequency regulation strategy for photovoltaic systems without energy storage,” IEEE Transactions on Sustainable Energy, vol. 4, no. 4, pp. 985-993, 2013 (JCR1区,中科院1区,Top期刊).
[25] Y. Liu, H. Xin, Z. Wang, T. Yang, “Power control strategy for photovoltaic system based on the Newton quadratic interpolation,” IET Renewable Power Generation, vol. 8, no. 6, pp. 611 - 620, 2014 (JCR2区,中科院3区).
[24] Y. Liu, H. Xin, Z. Wang, D. Gan, “Control of virtual power plant in microgrids: a coordinated approach based on photovoltaic systems and controllable loads,” IET Generation Transmission & Distribution, vol. 9, no. 10, pp. 921-928, 2015 (JCR2区,中科院3区).
[23] 刘云, 卢泽汉, 章雷其, 辛焕海, 光伏发电系统与可投切负荷协调控制策略. 电力系统自动化, 2013, 37(13): 10-16 (EI, 中国核心期刊).
[22] 刘云, 应康, 辛焕海, 卢泽汉, 甘德强, 基于二次插值法的光伏发电系统控制策略. 电力系统自动化, 2012, 36(21): 29-35 (EI, 中国核心期刊).

主动配电网P2P能量交易(Peer-to-Peer Energy Trading of Active Distribution Network)
[21] Y. Liu, Y. Gao, A. Borghetti, Y. Li, H. Gooi, C. Sun, T. Wu, J. Zhu, “A decentralized approach for time-of-use network utilization pricing in peer-to-peer energy markets,”  Applied Energy, 2024, accepted (JCR1区,中科院1区,Top期刊).
[20] C. Sun, Y. Liu*, Y. Li, S. Lin, H. Gooi, J. Zhu, “P2P multi-energy trading in decentralized electric-heat systems considering energy transfer loss,” Applied Energy, vol. 345, p. 121298, 2023 (JCR1区,中科院1区,Top期刊).
[19] Y. Liu, C. Sun C, Paudel A, Gao Y, Li Y, Gooi H, Zhu J, “Fully decentralized P2P energy trading in active distribution networks with voltage regulation,” IEEE Transactions on Smart Grid, vol. 14, no. 2, pp. 1466 - 1481, 2023 (JCR1区,中科院1区,Top期刊).
[18] Y. Liu, Y. Gao, Y. Li, J. Zhu, H. Gooi, “A non-iterative network utilization pricing mechanism for P2P energy trading,” CSEE Journal of Power and Energy Systems, accepted (JCR1区).
[17] Y. Liu, Y. Li, H. Gooi, J. Ye, H. Xin, X. Jiang, J. Pan, “Distributed robust energy management of a multimicrogrid system in the real-time energy market,” IEEE Transactions on Sustainable Energy, vol. 10, no. 1, pp. 396 - 406, 2019 (ESI高被引论文).
[16] Y. Liu, H. Gooi, Y. Li, H. Xin, “Multi-agent based optimal scheduling and trading for multi-microgrids integrated with a transportation network,” IEEE Transactions on Power Systems, vol. 36, no. 3, pp. 2197 - 2210, 2021 (JCR1区,中科院1区,Top期刊).
[15] Y. Liu, H. B. Gooi, H. Xin, Y. Li, J. Ye, “A secure distributed transactive energy management scheme for multiple interconnected microgrids considering misbehavior detection,” IEEE Transactions on Smart Grid, vol. 10, no. 6, pp. 5975 - 5986, 2019 (JCR1区,中科院1区,Top期刊).
[14] Y. Li, J. Huang, Y. Liu*, T. Zhao, Y. Zhou, Y. Zhao, C. Yuen, “Day-ahead risk averse market clearing considering demand response with data-driven load uncertainty representation: A Singapore electricity market study,” Energy, 2022, accepted (JCR1区,中科院1区,Top期刊).
[13] Y. Li, C. Yu, Y. Liu*, Z. Ni, L. Ge, X. Li, “Collaborative operation between power network and hydrogen fueling stations constrained by urban transportation network considering peer-to-peer energy trading,” IEEE Transactions on Transportation Electrification, vol. 9, no. 1, pp. 1521 - 1540, 2023 (JCR1区,中科院2区,Top期刊).

信息物理电力系统网络安全(Security of Cyber-Physical Power Systems)
[12] Y. Liu, Y. Li, Y. Wang, X. Zhang, H. B. Gooi, H. Xin, “Robust and resilient distributed optimal frequency control for microgrids against cyber attacks,” vol. 18, no. 1, pp. 375 - 386, 2022 (JCR1区,中科院1区,Top期刊).
[11] Y. Liu, H. Xin, Z. Qu, D. Gan, “An attack-resilient cooperative control strategy of multiple distributed generators in distribution networks,” IEEE Transactions on Smart Grid, vol. 7, no. 6, pp. 2923 - 2932, 2016 (JCR1区,中科院1区,Top期刊).
[10] P. K. Li, Y. Liu, H. Xin, X. Jiang, “A robust distributed economic dispatch strategy of virtual power plant under cyber-attacks,” IEEE Transactions on Industrial Informatics, vol. 14, no. 10, pp. 4343-4352, 2018 (JCR1区,中科院1区,Top期刊).
[9] 李培恺, 刘云, 辛焕海, 齐冬莲, 分布式协同控制模式下配电网信息物理系统脆弱性评估. 电力系统自动化, 2018, 42(10): 22-29 (EI, 中国核心期刊).

人工智能在能源系统的应用(Application of AI in Energy Systems)
[8] Z. Lin, Y. Liu*, Y. Li, J. Zhu, “A distributed learning-based economic dispatch approach of microgrids considering operational mode Switch,” IEEE Transactions on Network Science and Engineering, 2024, accepted (JCRQ1,Top期刊).
[7] Y. Li, Y. Ding, Y. Liu*, T. Yang, P. Wang, J. Wang, W. Yao, “Dense skip attention based deep learning for day-ahead electricity price forecasting,” IEEE Transactions on Power Systems, vol. 38, no. 5, pp. 4308-4327, 2023 (JCR1区,中科院1区,Top期刊).
[6] Z. Li, Y. Li, Y. Liu*, P Wang, R Lu, H. Gooi, “Deep learning based densely connected network for load forecasting,” IEEE Transactions on Power Systems, vol. 36, no. 4, pp. 2829 - 2840, 2021 (JCR1区,中科院1区,Top期刊).
[5] Y. Li, G. Hao, Y. Liu*, Y. Yu, Z. Ni and Y. Zhao, “Many-objective distribution network reconfiguration via deep reinforcement learning assisted optimization algorithm,” IEEE Transactions on Power Delivery, vol. 37, no. 3, pp. 2230 - 2244, 2022 (JCR1区,中科院2区).
[4] T. Wu, X. Ji, G. Wang, Y. Liu*, Q. Yang, Z. Bao, J. Peng, “Hydrogen energy storage system for demand forecast error mitigation and voltage stabilization in a fast-charging station,” IEEE Transactions on Industry Applications, vol. 58, no. 2, pp. 2718-2727, 2022 (JCR1区,中科院2区).
[3] Y. Li, K. Li, P. Wang, Y. Liu*, X. Lin, H. Gooi, “Risk constrained economic dispatch with integration of wind power by multi-objective optimization approach,” Energy, vol. 126, pp. 810-820, 2017 (JCR1区,中科院1区,Top期刊).
[2] Y. Li, J. Huang, Y. Liu*, Z. Ni, Y. Shen, W. Hu, L. Wu, “Economic dispatch with high Penetration of wind power using extreme learning machine assisted group search optimizer with multiple producers considering upside potential and downside risk,” Journal of Modern Power Systems and Clean Energy, 2021, in press (JCR2区,中科院2区).
[1] Q. Wang, S. Chai, Y. Liu*, G. Wang, “GTFD-XTNet: A tabular learning based ensemble approach for short-term prediction of photovoltaic power,” IET Renewable Power Generation, vol. 16, no. 12, pp. 2682-2693, 2022 (JCR2区,中科院2区).

完整论文列表请见本人Google Scholar页面(https://scholar.google.com.hk/citations?user=4Y700pgAAAAJ&hl=en)及ResearchGate页面(https://www.researchgate.net/profile/Yun-Liu-40)
出版专著和教材
[1] 张俊勃, 刘云, 黄钦雄, 谢志刚. 电力系统稳定性[M]. 第一版. 北京: 科学出版社, 2023.
科研创新
[1] 孙超,刘云,朱继忠. 一种第四代区域供暖系统的热网潮流的分布式获取方法. 发明专利,202210833841.5,已受理.
[2] 刘云,周郁凯,王贵斌,洪岳,孙超. 一种基于多代理系统的空调集群虚拟储能协同控制方法. 发明专利,202210681377.2,已受理.
[3] 辛焕海,赵睿,刘云,齐冬莲,张国月. 一种适用于无主控中心的光伏发电机组协同控制方法. 发明专利, ZL201410342857.1.
教学活动
2021年9月起,承担全英课程《Power Electronics》和《电力系统稳定性分析》,课堂测评结果均达优良水平,获得学生广泛好评。
指导学生情况
指导2021级华南理工大学硕士研究生2名,已发表SCI一区期刊论文4篇,受理发明专利2项。
指导2022级华南理工大学硕士研究生3名,已发表SCI一区期刊论文2篇。
指导2023级华南理工大学硕士研究生2名。
欢迎对新能源电力系统分析、运行与控制感兴趣的同学与我联系,共谋未来发展!
我的团队
本人隶属于“综合智慧能源系统优化运行与控制”,希望有激情、敢拼搏的年轻人加入到我们课题组来!也欢迎各位同学随时和我交流。