CN
浙江大学主页

CH

EN

人才队伍

当前位置：

人才队伍

教学科研人员

万灿
万灿 研究员|博士生导师

邮箱: canwan@zju.edu.cn

地址: 浙江大学玉泉校区电气工程学院

简介

2008年毕业于浙江大学，2015年于香港理工大学获博士学位，2015年3月-2017年3月于清华大学电机系从事博士后研究工作，2017年4月至2020年12月为浙江大学“百人计划”研究员(tenure-track)、博士生导师，2021年1月至今为浙江大学电气工程学院研究员（长聘）、博士生导师。

曾为香港理工大学电机工程学系副研究员/助理研究员、香港城市大学研究员、丹麦科技大学访问博士/助理研究员、美国阿贡国家实验室访问研究员。参与了中国、香港、丹麦等国家和地区的多个与新能源及智能电网相关的研究项目，其中关于风电功率概率预测的研究成果为电力系统领域顶级期刊IEEE Trans. on Power Systems的 Invited Paper，并获评ESI高被引论文。与丹麦、香港、澳大利亚、美国、英国等国家和地区的研究机构保持合作。

以第一作者出版学术专著1部，以第一/通讯作者发表电力系统领域国际顶级期刊IEEE PES Trans.论文30余篇，3篇第一作者IEEE Trans. on Power Systems论文入选ESI高被引论文，单篇论文最高引用600余次，4篇论文入选IEEE PES General Meeting最佳论文(Best Conference Paper)，获中国电机工程学会优秀期刊论文奖、CSEE JPES优秀论文奖，入选爱思唯尔“中国高被引学者”、中国科协“青年人才托举工程”、中国电力优秀青年科技人才奖、浙江省杰出青年基金、首届Hong Kong PhD Fellowship，获国家科技进步二等奖、教育部自然科学一等奖、广西自然科学一等奖、浙江省科技进步一等奖、中国电力科技进步一等奖。主持国家自然科学基金面上项目2项，主参国家自然科学基金联合基金重点项目(排名第二)、国际合作重点项目(排名第三)，2018年国家重点研发计划“智能电网技术与装备”重点专项项目“面向新型城镇的能源互联网关键技术及应用”课题负责人。

研究生培养及招生：     

每年招收博士后1～2名、博士生1~2名、硕士生3~4名，欢迎有志于新能源与智能电网相关研究的同学加入研究团队！有意者请将个人简历发至canwan@zju.edu.cn。


主要研究方向

  • 新能源电力系统不确定性预测、分析与控制

  • 综合能源系统与主动配电网

  • 人工智能及其电力系统应用


发表论著

专著：

万灿, 宋永华 著. 新能源电力系统概率预测理论与方法, 科学出版社, 2022.

郑玉平 主编. 城镇能源互联网关键技术及实践, 中国电力出版社, 2022. (副主编兼编写组组长)


SCI期刊论文（* 通讯作者）:

  1. C. Wan, Z. Xu, P. Pinson, Z.Y. Dong, K.P. Wong, “Probabilistic forecasting of wind power generation using extreme learning machine,” Invited paper, IEEE Trans. on Power Systems, vol.29, no.3, pp.1033-1044, May 2014. (ESI高被引论文)

  2. C. Wan, Z. Xu, P. Pinson, Z.Y. Dong, K.P. Wong, “Optimal prediction intervals of wind power generation,” IEEE Trans. on Power Systems, vol.29, no.3, pp.1166-1174, May 2014. (ESI高被引论文)

  3. C. Wan, J. Lin, J. Wang, Y. Song, Z.Y. Dong, “Direct quantile regression for nonparametric probabilistic forecasting of wind power generation,” IEEE Trans. on Power Systems, vol. 32, no. 4, pp. 2767-2778, Jul. 2017.

  4. C. Wan, C. Zhao, Y. Song, “Chance constrained extreme learning machine for nonparametric prediction intervals of wind power generation,” IEEE Trans. on Power Systems, vol. 35, no. 5, pp. 3869-3884, Sept. 2020.

  5. C. Wan, Z. Xu, and P. Pinson, “Direct interval forecasting of wind power,” IEEE Trans. on Power Systems, vol. 31, no. 6, pp. 4877-4878, Nov. 2013.

  6. C. Wan, J. Lin, W. Guo, Y. Song, “Maximum uncertainty boundary of volatile distributed generation in active distribution network,” IEEE Trans. on Smart Grid, vol. 9, no. 4, pp. 2930-2942, Jul. 2018.

  7. C. Wan, M. Niu, Y. Song, Z. Xu, “Pareto optimal prediction intervals of electricity price,” IEEE Trans. on Power Systems, vol. 32, no. 1, pp. 817-819, Jan. 2017. (ESI高被引论文)

  8. C. Wan, J. Lin, Y. Song, Z. Xu, G. Yang, “Probabilistic forecasting of photovoltaic generation: An efficient statistical approach,” IEEE Trans. on Power Systems, vol. 32, no.3, pp. 2471-2472, May 2017.

  9. C. Wan, J. Wang, J. Lin, Y. Song, Z. Y. Dong, “Nonparametric prediction intervals of wind power via linear programming,” IEEE Trans. on Power Systems, vol. 33, no. 1, pp. 1074-1076, Jan. 2018.

  10. C. Wan, Z. Xu, Y. L. Wang, Z.Y. Dong, K.P. Wong, “A hybrid approach for probabilistic forecasting of electricity price,” IEEE Trans. on Smart Grid, vol. 5, no. 1, pp. 463-470, Jan. 2014.

  11. C. Wan, Z. Xu, J. Østergaard, Z. Y. Dong, K. P. Wong, “Discussion of ‘Combined nonparametric prediction intervals for wind power generation’,” IEEE Trans. on Sustainable Energy, vol. 5, no. 3, pp. 1021, Jul. 2014.

  12. Y. Jiang, C. Wan*, A. Botterud, Y. Song, M. Shahidehpour, “Convex relaxation of combined heat and power dispatch,” IEEE Trans. on Power Systems, vol. 36, no. 2, pp. 1442-1458, Mar. 2021.

  13. D. Chen, C. Wan*, Y. Song, C. Guo, M. Shahidehpour, “Non-isothermal optimal power and gas flow,” IEEE Trans. on Power Systems, vol. 36, no. 6, pp. 5453-5464, Nov. 2021.

  14. C. Wan*, Z. Cao, W. Lee, Y. Song, P. Ju, “An adaptive ensemble data driven approach for nonparametric probabilistic forecasting of electricity load,” IEEE Trans. on Smart Grid, vol. 12, no. 6, pp. 5396-5408, Nov. 2021.

  15. P. Yu, C. Wan*, Y. Song, Y. Jiang, “Distributed control of multi-energy storage systems for voltage regulation in distribution networks: A back-and-forth communication framework,” IEEE Trans. on Smart Grid, vol. 12, no. 3, pp. 1964-1977, May 2021.

  16. C. Zhao, C. Wan*, Y. Song, “Operating reserve quantification using prediction intervals of wind power: An integrated probabilistic forecasting and decision methodology,” IEEE Trans. on Power Systems, vol. 36, no. 4, pp. 3701-3714, Jul. 2021.

  17. C. Wan, W. Qian, C. Zhao, Y. Song, G. Yang, “Probabilistic forecasting based sizing and control of hybrid energy storage for wind power smoothing,”  IEEE Trans.  on Sustainable Energy, vol. 12, no. 4, pp. 1841-1852, Oct. 2021.

  18. Y. Jiang, C. Wan*, A. Botterud, Y. Song, Z. Y. Dong, “Efficient robust scheduling of integrated electricity and heat systems: A direct constraint tightening approach,”  IEEE Trans. on Smart Grid, 2021, vol. 12, no. 4, pp. 3016-3029, Jul. 2021.

  19. C. Zhao, C. Wan*, Y. Song, “An adaptive bilevel programming model for nonparametric prediction intervals of wind power generation,” IEEE Trans. on Power Systems, vol. 35, no. 1, pp. 424-439, Jan. 2020.

  20. C. Zhao, C. Wan*, Y. Song, Z. Cao, “Optimal nonparametric prediction intervals of electricity load,” IEEE Trans. Power Systems, vol. 35, no. 3, pp. 2467-2470, May 2020.

  21. Z. Cao, C. Wan*, Z. Zhang, F. Li, Y. Song, “Hybrid ensemble deep learning for deterministic and probabilistic low-voltage load forecasting,” IEEE Trans. on Power Systems, vol. 35, no. 3, pp. 1881-1897, May 2020.

  22. Y. Jiang, C. Wan*, C. Chen, M. Shahidehpour, Y. Song, “A hybrid stochastic-interval operation strategy for multi-energy microgrids,” IEEE Trans. on Smart Grid, vol. 11, no. 1, pp. 440-456, Jan. 2020.

  23. Y. Jiang, C. Wan*, A. Botterud, Y. Song, S. Xia, “Exploiting flexibility of district heating networks in combined heat and power dispatch,” IEEE Trans. on Sustainable Energy, vol. 11, no. 4, pp. 2174-2188, Oct. 2020.

  24. Y. Jiang, C. Wan*, J. Wang, Y. Song, Z. Y. Dong, “Stochastic receding horizon control of active distribution networks with distributed renewables,” IEEE Trans. on Power Systems, vol.34, no.2, pp.1325-1341, Mar. 2019.

  25. C. Zhao, C. Wan*, Y. Song, “Cost-oriented prediction intervals: On bridging the gap between forecasting and decision,” IEEE Trans. on Power Systems, vol. 37, no. 4, pp. 3048-3062, Jul. 2022.

  26. Y. Li, C. Wan*, D. Chen, Y. Song, “Nonparametric probabilistic optimal power flow,” IEEE Trans. on Power Systems, vol. 37, no. 4, pp. 2758-2770, Jul. 2022.

  27. W. Cui, C. Wan*, Y. Song, “Ensemble deep learning-based non-crossing quantile regression for nonparametric probabilistic forecasting of wind power generation,” IEEE Trans. on Power Systems, 2022, In press

  28. P. Yu, C. Wan*, M. Sun, Y. Zhou and Y. Song, “Distributed voltage control of active distribution networks with global sensitivity,” IEEE Trans. on Power Systems, 2022, In press

  29. Z. He, C. Wan*, Y. Song, “Frequency regulation from electrified railway,” IEEE Trans. on Power Systems, vol. 37, no. 3, pp. 2414-2431, May 2022.

  30. Z. He, C. Wan*, Y. Song, “Adaptive frequency response from electrified railway,” IEEE Trans. on Power Systems, 2022, In press

  31. Y. Jia, C. Wan*, P. Yu, Y. Song, P. Ju, “Security constrained P2P energy trading in distribution networks: An integrated transaction and operation model,” IEEE Trans. on Smart Grid, 2022, In press

  32. Y. Jia, C. Wan*, W. Cui, Y. Song, P. Ju, “Peer-to-peer energy trading using prediction intervals of renewable energy generation,” IEEE Trans. on Smart Grid, 2022, In press

  33. C. Wang, P. Ju, C. Wan, et al., “Resilience-based coordinated scheduling of cascaded hydro power with sequential heavy precipitation,” IEEE Trans. on Sustainable Energy, 2022

  34. X. Chen, J. Lin, C. Wan*, Y. Song, S. You, Y. Zong, Y. Li, “Optimal meter placement for distribution network state estimation: A circuit representation based MILP approach,” IEEE Trans. on Power Systems, vol.29, no.3, pp. 4357-4370, Nov. 2016.

  35. Z. Cao, J. Lin, C. Wan*, Y. Song, Y. Zhang, X. Wang, “Optimal cloud computing resource allocation for demand side management in smart grid,” IEEE Trans. on Smart Grid, vol. 8, no. 4, pp. 1943-1955, Jul. 2017.

  36. X. Xing, J. Lin, C. Wan*, Y. Song, “Model predictive control of LPC-looped active distribution network with high penetration of distributed generation,” IEEE Trans. on Sustainable Energy, vol. 8, no. 3, pp. 1051-1063, Jul. 2017.

  37. X. Chen, J. Lin, C. Wan*, Y. Song, H. Luo, “A unified frequency-domain model for automatic generation control assessment under wind power uncertainty,” IEEE Trans. on Smart Grid, vol. 10, no. 3, pp. 2936-2947, May 2019.

  38. Y. Lin, M. Yang, C. Wan*, J. Wang, Y. Song, “A multi-model combination approach for probabilistic wind power forecasting,” IEEE Trans. on Sustainable Energy, vol. 10, no. 1, pp. 226-237, Jan. 2019.

  39. Y. Wang, C. Wan, Z. Zhou, K. Zhang, A. Botterud, “Improving deployment availability of energy storage with data-driven AGC signal models,” IEEE Trans. on Power Systems, vol. 33, no. 4, pp. 4207-4217, Jul. 2018.

  40. J. Zhao, C. Wan, Z. Xu, K.P. Wong, “Spinning reserve requirement optimization considering integration of plug-in electric vehicles,” IEEE Trans. on Smart Grid, vol. 8, no. 4, pp. 2009-2021, Jul. 2017.

  41. J. Zhao, C. Wan, Z. Xu, J. Wang, “Risk-based day-ahead scheduling of electric vehicle aggregator using information gap decision theory,” IEEE Trans. on Smart Grid, vol. 8, no. 4, pp. 1609-1618, Jul. 2017.

  42. S. Xia, S. Bu, C. Wan, X. Lu, K.W. Chan, B. Zhou, “A fully distributed hierarchical control framework for coordinated operation of DERs in active distribution power networks,” IEEE Trans. on Power Systems, vol. 34, no. 6, pp. 5184-5197, Nov. 2019.

  43. J. Li, Z. Xu, J. Zhao, C. Wan, “A coordinated dispatch model for distribution network considering PV ramp,” IEEE Trans. on Power Systems, vol. 33, no. 1, pp. 1107-1109, Jan. 2018.


其他论文：

  1. 万灿, 崔文康，宋永华. 新能源电力系统概率预测：基本概念与数学原理. 中国电机工程学报, 2021, 41(19):6493-6509.

  2. 万灿, 宋永华. 新能源电力系统概率预测理论与方法及其应用. 电力系统自动化, 2021, 45(1): 2-16.

  3. C. Wan, J. Zhao, Y. Song, Z. Xu, J. Lin, Z. Hu, “Photovoltaic and Solar Power Forecasting for Smart Grid Energy Management,” CSEE Journal of Power and Energy Systems, vol. 1, no. 4, pp. 38-46, 2015. (Excellent Paper Award)

  4. Y. Jiang, C. Wan, A. Botterud, Y. Song, “Combined Heat and Power Dispatch Using Simplified District Heat Flow Model,” 2019 IEEE Power & Energy Society General Meeting, Atlanta, GA, USA, Aug. 2019. (Best Conference Paper)

  5. W. Cui, C. Wan, “Hybrid Probabilistic Forecasting of Photovoltaic Power Generation Considering Weather Conditions,” 2022 IEEE Power & Energy Society General Meeting, Denver, Colorado, USA, Jul. 2022. (Best Conference Paper)

  6. P. Yu, C. Wan, Y. Song, “Fully Distributed Optimization for Combined Heat and Power Dispatch,” 2022 IEEE Power & Energy Society General Meeting, Atlanta, Denver, Colorado, USA, Jul. 2022. (Best Conference Paper)

  7. J. Zhao, C. Wan, Zhao Xu, “Impacts of Large-scale Photovoltaic Generation Penetration on Power System Spinning Reserve Allocation,” 2016 IEEE Power & Energy Society General Meeting, Boston, MA, USA, Jul. 2016. (Best Conference Paper)


奖励荣誉

中国科协“青年人才托举工程”

中国电力优秀青年科技人才奖

国家科技进步二等奖

教育部自然科学一等奖

广西自然科学一等奖

浙江省科技进步一等奖

中国电力科技进步一等奖

首届Hong Kong PhD Fellowship

浙江省优秀本科毕业生

浙江大学优秀本科毕业生

国家奖学金


教学与课程

人工智能与电力大数据（本科生课程）

电力系统稳态分析（本科生课程）

人工智能与电力系统（研究生课程）