万灿 - 浙江大学 - 电气工程学院

个人简介

万灿，2008年毕业于浙江大学，2015年在香港理工大学获博士学位，2015年-2017年为清华大学电机系博士后（合作导师：英国皇家工程院院士、IEEE Fellow宋永华教授），2017年至今为浙江大学“百人计划”研究员、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可再生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》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。 2016年IEEE Trans.on Smart Grid最佳审稿人。近三年来，在IEEE Trans.on Power Systems、IEEE Trans.on Smart Grid等期刊及会议发表论文40余篇（其中IEEE PES Trans.论文20余篇），IEEE PES Trans.等SCI期刊第一作者或通讯作者论文20余篇，3篇第一作者《IEEE Trans.on Power Systems》论文入选ESI高被引论文，2篇论文入选IEEE PES General Meeting最佳论文（Best Conference Paper），获《CSEE Journal of Power and Energy Systems》优秀论文奖，入选中国科协“青年人才托举工程”，获教育部自然科学一等奖、中国电力优秀青年科技人才奖、首届香港博士研究生奖学金（Hong Kong PhD Fellowship）。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：每年招收博士生1~2名、硕士生3~4名，欢迎有志于可再生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教育部自然科学一等奖浙江大学“百人计划” 首批香港博士研究生奖学金(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实验室介绍所属实验室：智能电网运行与优化实验室（SGOOL）智能电网运行与优化实验室（SGOOL）于清华大学电机系（2009年）与浙江大学电气工程学院（2013年）分别成立，学术带头人为宋永华教授（英国皇家工程院院士、IEEE Fellow）。实验室自成立以来，致力于促进中国智能电网与可再生能源的发展，专注于电力系统优化运行与控制、智能电网、可再生能源、电力市场、能源互联网等研究领域，现已成为一支在国际上具有一定影响力的研究团队。实验室研究团队包括两名教授、一名研究员、四名副教授以及一批博士后与研究生。实验室在国家/国际科研项目与人才培养等方面取得了突出成果，国际交流密切，已接收海外高校访问学者多名。实验室已承担约12项国家/国际科研项目，包括国家高技术研究发展计划项目（863计划）、国家自然科学基金项目和国际科学技术合作项目，以及超过20项电力公司科研项目，相关研究成果已应用于蒙东风电基地、北京电网、华北电网、广东电网、贵州电网、辽宁电网等。2010年至今，实验室共申请专利15项，发表和录用期刊论文约130篇，其中SCI论文40余篇，30余篇发表在IEEE Transactions系列期刊上。实验室网站：http://www.sgool.cn

研究领域

综合能源系统与主动配电网；可再生能源预测与消纳；人工智能及其应用

近期论文

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

SCI期刊论文（* 通讯作者）: C. Wan, Z. Xu, P. Pinson, Z.Y. Dong, and K.P. Wong, “Probabilistic forecasting of wind power generation using extreme learning machine,” Invited paper, IEEE Trans. Power Systems, vol.29, no.3, pp.1033-1044, May 2014. (ESI高被引论文) C. Wan, Z. Xu, P. Pinson, Z.Y. Dong, and K.P. Wong, “Optimal prediction intervals of wind power generation,” IEEE Trans. Power Systems, vol.29, no.3, pp.1166-1174, May 2014. (ESI高被引论文) C. Wan, Z. Xu, and P. Pinson, “Direct interval forecasting of wind power,” IEEE Trans. Power Systems, vol. 31, no. 6, pp. 4877-4878, Nov. 2013. C. Wan, J. Lin, J. Wang, Y. Song, Z.Y. Dong, “Direct quantile regression for nonparametric probabilistic forecasting of wind power generation,” IEEE Trans. Power Systems, vol. 32, no. 4, pp. 2767-2778, Jul. 2017. C. Wan, J. Lin, W. Guo, Y. Song, “Maximum uncertainty boundary of volatile distributed generation in active distribution network,” IEEE Trans. Smart Grid, vol. 9, no. 4, pp. 2930-2942, Jul. 2018. C. Wan, M. Niu, Y. Song, Z. Xu, “Pareto optimal prediction intervals of electricity price,” IEEE Trans. Power Systems, vol. 32, no. 1, pp. 817-819, Jan. 2017. (ESI高被引论文) C. Wan, J. Lin, Y. Song, Z. Xu, G. Yang, “Probabilistic forecasting of photovoltaic generation: An efficient statistical approach,” IEEE Trans. Power Systems, vol. 32, no.3, pp. 2471-2472, May 2017. C. Wan, J. Wang, J. Lin, Y. Song, Z. Y. Dong, “Nonparametric prediction intervals of wind power via linear programming,” IEEE Trans. Power Systems, vol. 33, no. 1, pp. 1074-1076, Jan. 2018. C. Wan, Z. Xu, Y. L. Wang, Z.Y. Dong, and K.P. Wong, “A hybrid approach for probabilistic forecasting of electricity price,” IEEE Trans. Smart Grid, vol. 5, no. 1, pp. 463-470, Jan. 2014. C. Wan, Y. Song, Z. Xu, G. Yang, A. Nielsen, “Probabilistic wind power forecasting with hybrid artificial neural networks,” Electric Power Components and Systems, vol. 44, no.15, pp. 1656-1668, 2016. C. Wan, Z. Xu, J. Østergaard, Z. Y. Dong, and K. P. Wong, “Discussion of ‘Combined nonparametric prediction intervals for wind power generation’,” IEEE Trans. Sustainable Energy, vol. 5, no. 3, pp. 1021, Jul. 2014. Y. Jiang, C. Wan*, A. Botterud, Y. Song, M. Shahidehpour, “Convex Relaxation of Combined Heat and Power Dispatch,” IEEE Trans. Power Syst., 2020, Accepted 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. Smart Grid, 2020, Accepted C. Zhao, C. Wan*, Y. Song, “An adaptive bilevel programming model for nonparametric prediction intervals of wind power generation,” IEEE Trans. Power Systems, vol. 35, no. 1, pp. 424-439, Jan. 2020. C. Wan, C. Zhao, and Y. Song, “Chance constrained extreme learning machine for nonparametric prediction intervals of wind power generation,” IEEE Trans. Power Systems, vol. 35, no. 5, pp. 3869-3884, Sept. 2020. C. Zhao, C. Wan*, Y. Song and Z. Cao, “Optimal nonparametric prediction intervals of electricity load,” IEEE Trans. Power Systems, vol. 35, no. 3, pp. 2467-2470, May 2020. Z. Cao, C. Wan*, Z. Zhang, F. Li, Y. Song, “Hybrid ensemble deep learning for deterministic and probabilistic low-voltage load forecasting,” IEEE Trans. Power Systems, vol. 35, no. 3, pp. 1881-1897, May 2020. Y. Jiang, C. Wan*, C. Chen, M. Shahidehpour, Y. Song, “A hybrid stochastic-interval operation strategy for multi-energy microgrids,” IEEE Trans. Smart Grid, vol. 11, no. 1, pp. 440-456, Jan. 2020. Y. Jiang, C. Wan*, A. Botterud, Y. Song, S. Xia, “Exploiting flexibility of district heating networks in combined heat and power dispatch,” IEEE Trans. Sustainable Energy, 2019, In press Y. Jiang, C. Wan*, J. Wang, Y. Song, Z. Y. Dong, “Stochastic receding horizon control of active distribution networks with distributed renewables,” IEEE Trans. Power Systems, vol.34, no.2, pp.1325-1341, Mar. 2019. 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. Power Systems, vol.29, no.3, pp. 4357-4370, Nov. 2016. 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. Smart Grid, vol. 8, no. 4, pp. 1943-1955, Jul. 2017. 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. Sustainable Energy, vol. 8, no. 3, pp. 1051-1063, Jul. 2017. 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. Smart Grid, 2017, Accepted. Y. Lin, M. Yang, C. Wan*, J. Wang, Y. Song, “A multi-model combination approach for probabilistic wind power forecasting,” IEEE Trans. Sustainable Energy, vol. 10, no. 1, pp. 226-237, Jan. 2019. Y. Cai, J. Lin, C. Wan*, Y. Song, J. Wang, “Stochastic bi-level trading model for an active distribution company with DGs and interruptible loads,” IET Renewable Power Generation, vol. 11 no.2, pp. 278–288, Feb. 2017. Z. Cao, J. Lin, C. Wan*, Y. Song, G. Taylor, M. Li, “Hadoop-based framework for big data analysis of synchronized harmonics in active distribution network,” IET Generation, Transmission & Distribution, vol. 11 no.16, pp. 3930–3937, Nov. 2017. Y. Cai, J. Lin, C. Wan*, Y. Song, A stochastic short-term operation model for an active distribution company considering network constraints and demand response, Int. Trans. Electrical Energy Systems, vol. 27 no.7, Jul. 2017. Y. Wang, C. Wan, Z. Zhou, K. Zhang, A. Botterud, “Improving deployment availability of energy storage with data-driven AGC signal models,” IEEE Trans. Power Systems, vol. 33, no. 4, pp. 4207-4217, Jul. 2018. J. Zhao, C. Wan, Z. Xu, K.P. Wong, “Spinning reserve requirement optimization considering integration of plug-in electric vehicles,” IEEE Trans. Smart Grid, vol. 8, no. 4, pp. 2009-2021, Jul. 2017. J. Zhao, C. Wan, Z. Xu, J. Wang, “Risk-based day-ahead scheduling of electric vehicle aggregator using information gap decision theory,” IEEE Trans. Smart Grid, vol. 8, no. 4, pp. 1609-1618, Jul. 2017. 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. Power Systems, vol. 34, no. 6, pp. 5184-5197, Nov. 2019. J. Li, Z. Xu, J. Zhao, C. Wan, “A coordinated dispatch model for distribution network considering PV ramp,” IEEE Trans. Power Systems, vol. 33, no. 1, pp. 1107-1109, Jan. 2018. F. Luo, G. Ranzi, C. Wan, Z. Y. Dong, “A multi-stage home energy management system with residential photovoltaic penetration,” IEEE Trans. Industrial Informatics, vol. 15, no. 1, pp. 116-126, Jan. 2019. M. Niu, C. Wan, and Z. Xu, “A review on applications of heuristic optimization algorithms for optimal power flow in modern power systems”, J. Mod. Power Syst. Clean Energy, vol. 2, no. 4, pp. 289-297, Dec. 2014. E. Cao, C. Wan, M. Lai, “Coordination of a supply chain with one manufacturer and multiple competing retailers under simultaneous demand and cost disruptions,” Int. J. Production Economics, vol. 141, no. 1, pp. 425-433, Jan. 2013. E. Cao, Y. J. Ma, C. Wan, and M. Lai, “Contracting with asymmetric cost information in a dual-channel supply chain”, Operations Research Letters, vol. 41, no. 4, pp. 410-414, Jul. 2013. J. Zhao, J. Wang, Z. Xu, C. Wang, C. Wan, C. Chen, “Distribution network electric vehicle hosting capacity maximization: A chargeable region optimization model,” IEEE Trans. Power Systems, vol. 32, no. 5, pp. 4119-4130, Sep. 2017. F. Zhang, K. Meng, Z. Xu, Z. Y. Dong, L. Zhang, C. Wan, and J. Liang, “Battery ESS planning for wind smoothing via variable-interval reference modulation and self-adaptive SOC control strategy,” IEEE Trans. Sustainable Energy, , vol. 8, no. 2, pp. 695-707, Apr. 2017. S. Jiang, C. Wan*, C. Chen, E. Cao, Y. Song, “Distributed photovoltaic generation in the electricity market: Status, mode and strategy,” CSEE J. Power and Energy Systems, vol. 4, no. 3, pp. 263-272, Sept. 2018. J. Lin, C. Wan, Y. Song, R. Huang, X. Chen, W. Guo, “Situation awareness of active distribution network: Roadmap, technologies and bottlenecks,” CSEE J. Power and Energy Systems, vol. 2, no. 3, pp. 35-42, Sept. 2016. 其他论文： C. Wan, J. Zhao, Y. Song, Z. Xu, J. Lin, and 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) C. Wan, Z. Xu, Z.Y. Dong, and K.P. Wong, “Probabilistic load flow computation using first-order second-moment method ”, Proc. IEEE Power & Energy Society General Meeting, Jul. 2012. J. Zhao, C. Wan, Zhao Xu, “Impacts of large-scale photovoltaic generation penetration on power system spinning reserve allocation,” Proc. IEEE Power & Energy Society General Meeting, Jul. 2016. Z. Xu, and C. Wan, “The key technology for grid integration of wind power: Direct probabilistic interval forecasts of wind power,” (Invited paper), Southern Power System Technology, vol. 7, no. 5, pp. 1-9, 2013. B. Peng, C. Wan, Y. Song, et al., “A two-stage pattern recognition method for electric customer classification in smart grid,” IEEE Int. Conf. Smart Grid Communications, 2016. J. Li, C. Wan, Z. Xu, “Robust offering strategy for a wind power producer under uncertainties,” IEEE Int. Conf. Smart Grid Communications, 2016. X. Chen, J. Lin, C. Wan, Y. Song, “A Combined Time-and-Frequency-Domain Model for Integration of Wind Power Generation,” 2016 IEEE PES Innovative Smart Grid Technologies Asia (ISGT Asia), 2016 Y. Cai, J. Lin, C. Wan, Y. Song, “A bi-level trading model for an active distribution company considering demand response exchange,” IEEE PES Asia-Pacific Power and Energy Engineering Conference 2016 (APPEEC 2016), 2016. C. Wan, Z.Y. Dong, F. J. Luo, M. Lu, P. Zhang, and K.P. Wong, “Cumulant-based probabilistic load flow calculation in a market environment”, Proc. 2011 4th Int. Conf. Electric Utility Deregulation and Restructuring and Power Technologies (DRPT), pp. 1190-1195, Jul. 2011. 蔡宇，林今，万灿，宋永华，市场环境下考虑降压节能调节的主动配电网运行优化策略, 电网技术, vol. 40, no. 10, pp. 2951-2958, 2016. 蔡宇，林今，万灿，宋永华，市场环境下基于随机规划的主动配电网运行交易二层优化模型，中国电机工程学报, vol. 36, no. 20, pp. 5391-5402, 2016.

学术兼职

担任IEEE Trans. on Power Systems等20余个国际权威期刊审稿人