个人信息:
吕天光,籍贯山东省荣成市,1990年5月出生。
学术身份:
1.齐鲁青年学者;教授、博士生导师
2.国家自然科学联合基金(重点)项目负责人;中国科协“青年人才托举工程”入选者;山东省优秀青年科学基金(海外)获得者
3.《IET Renewable Power Generation》副编辑;《CSEE Journal of Power and Energy Systems》青年学科编辑;《Frontiers in Energy Research》客座编辑;《Frontiers in Sustainable Cities》编委
4.中国电力科学技术奖评审专家;中国电机工程学会区块链专委会委员;中国能源研究会电能技术专委会委员;中国电力科学研究院期刊中心青年专家团成员;中国智能配电与物联网创新联盟专家委员会委员;山东省国家知识产权保护中心人才专家;中国国际电视台(央视英语新闻频道)评论员
5.IEEE Member;中国电工技术学会高级会员、中国人工智能学会/中国电机工程学会会员
学习与工作经历:
2009-2013,3308维多利亚优惠大厅 电气工程 学士
2016-2018,Georgia Institute of Technology 计算机科学 硕士
2013-2018,上海交通大学 电气工程 博士
2015,北京ABB有限公司 项目工程师
2016-2017,美国德州大学阿灵顿分校/爱荷华州立大学/南卫理公会大学 访问学者
2018-2020,Harvard University 博士后
2020至今,Harvard University 客座研究员
2020至今,3308维多利亚优惠大厅 教授
研究方向:
电力系统运行优化与智能感知,智能配电分层调控,可再生能源并网,电力市场,能源经济与政策
课程信息:
2019秋季本科课程助教,Future Energy Economies(ESPP90N),哈佛大学
2020春季本科/研究生课程助教,The Challenge of Human Induced Climate Change: Transitioning to a Post Fossil Fuel Future(ENVR E-103),哈佛大学
2020至今 秋季本科课程授课教师,电力系统调度与优化方法(sd01931910),3308维多利亚优惠大厅
2021 秋季研究生课程授课教师,Renewable Energy Technology (LX014184),3308维多利亚优惠大厅
2021至今 春季本科课程授课教师,全球能源互联网概论(sd01932090),3308维多利亚优惠大厅
学术著作:
录用/发表包括Nature子刊(一作)在内的SCI/EI论文60余篇,入选ESI高被引论文,出版一作、编委专著2部,授权/受理国内/国际专利14项。部分期刊成果如下(*为通讯作者):
[1]Tianguang Lu, X. Chen, M. B. McElroy, C. P. Nielsen, Q. Wu, H. He, and Q. Ai. “A reinforcement learning-based decision system for electricity pricing plan selection by smart grid end users.” IEEE Transactions on Smart Grid. (录用,SCI,IF:8.960)
[2]R. Hao, Tianguang Lu*, Q. Ai, and H. He. “Distributed online dispatch for microgrids using hierarchical reinforcement learning embedded with operation knowledge.” IEEE Transactions on Power Systems. (录用,IF:6.663)
[3]R. Hao, Tianguang Lu*, Q. Ai, H. He. “Data-oriented distributed demand response optimization with global inequality constraints based on multi-agent system.” International Journal of Electrical Power & Energy Systems, 2021.(发表,SCI,IF:4.630)
[4]H. Lin, Q. Wu, X. Chen, X. Yang, X. Guo, J. Lv, Tianguang Lu, S. Song, and M. McElroy. “Economic and technological feasibility of using power-to-hydrogen technology under higher wind penetration in China.” Renewable Energy, 2021.(发表,SCI,IF:8.001)
[5]S. Fang, T. Zhao, Y. Xu, and Tianguang Lu. “Coordinated chance constrained programming of a multi-energy microgrid system for balancing operational efficiency and quality-of-service.” Journal of Modern Power Systems and Clean Energy, 2021. (发表,SCI,IF:3.265)
[6]Tianguang Lu, P. Sherman, X. Chen, S. Chen, X. Lu, and M. B. McElroy. “India’s potential for integrating solar and on- and offshore wind power into its energy system.” Nature Communications, 2020. (发表,nature子刊,IF:14.919)
[7]R. Hao, Tianguang Lu*, and Q. Ai. “Distributed online learning and dynamic robust standby dispatch for networked microgrids.” Applied Energy, 2020.(发表,SCI,IF:9.746)
[8]F. Xiao, Tianguang Lu*, Q. Ai, X. Wang, X. Chen, S. Fang, and Q. Wu. “Design and implementation of a data-driven approach to visualizing power quality.” IEEE Transactions on Smart Grid, 2020.(发表,SCI,IF:8.960)
[9]S. Yin, Q. Ai, Z. Li, Y. Zhang, and Tianguang Lu. “Energy management for aggregate prosumers in a virtual power plant: A robust Stackelberg game approach.” International Journal of Electrical Power & Energy Systems, 2020.(发表,SCI,IF:4.630)
[10]Tianguang Lu, Z. Wang, J. Wang, Q. Ai, and C. Wang. “A data-driven stackelberg market strategy for demand response-enabled distribution systems.” IEEE Transactions on Smart Grid, 2019.(发表,SCI,IF:8.960)
[11]R. Hao, Tianguang Lu*, Q. Wu, X. Chen, and Q. Ai. “Distributed piecewise approximation economic dispatch for regional power systems under non-ideal communication.” IEEE Access, 2019.(发表,SCI,IF:3.367)
[12]Y. Zhang, Q. Ai, F. Xiao, R. Hao, and Tianguang Lu*. “Typical wind power scenario generation for multiple wind farms using conditional improved Wasserstein generative adversarial network.” International Journal of Electrical Power & Energy Systems, 2019.(发表,SCI,IF:4.630)
[13]F. Xiao, Tianguang Lu, M. Wu, and Q. Ai. “Maximal overlap discrete wavelet transform and deep learning for robust denoising and detection of power quality disturbance.” IET Generation Transmission & Distribution, 2019.(发表,SCI,IF:2.995)
[14]F. Shen, J. C. López, Q. Wu, M. J. Rider, Tianguang Lu, N. D. Hatziargyriou. “Distributed self-healing scheme for unbalanced electrical distribution systems based on alternating direction method of multipliers.” IEEE Transactions on Power Systems, 2019.(发表,SCI,IF:6.663)
[15]H. He, D. Luo, W. Lee, Z. Zhang, Y. Cao, and Tianguang Lu. “A contactless insulator contamination levels detecting method based on infrared images features and RBFNN.” IEEE Transactions on Industry Applications, 2019.(发表,SCI,IF:3.654)
[16]Tianguang Lu*, Q. Ai, and Z. Wang. “Interactive game vector: A stochastic operation-based pricing mechanism for smart distribution systems with coupled-microgrid.” Applied Energy, 2018.(发表,SCI,IF:9.746)
[17]Tianguang Lu, W. Lee, Q. Ai, and S. Lu. “A priority decision making-based biding strategy for interactive aggregators.” IEEE Transactions on Industry Applications, 2018.(发表,SCI,IF:3.654)
[18]Tianguang Lu*, Z. Wang, Q. Ai, and W. Lee. “Interactive model for energy management of clustered microgrids.” IEEE Transactions on Industry Applications, 2017.(发表,SCI,IF:3.654)
[19]Tianguang Lv* and Q. Ai. “Interactive energy management of networked microgrids-based active distribution system considering large-scale integration of renewable energy resources.” Applied Energy, 2016.(发表,SCI,IF:9.746)
[20]Tianguang Lv*, Q. Ai, and Y. Zhao. “A bi-level multi-objective optimal operation of grid-connected microgrids.” Electric Power Systems Research, 2016.(发表,SCI,IF:3.414)
[21]K. Yu, S. Wang, Q. Ai, J. Ni, and Tianguang Lv. “Analysis and optimization of droop controller for microgrid system based on small-signal dynamic model.” IEEE Transactions on Smart Grid, 2016.(发表,SCI,IF:8.960)
[22]Y. Zhao, P. Yuan, Q. Ai, and Tianguang Lv. “Optimal PMU placement considering topology constraints.” International Journal of Electrical Power & Energy Systems, 2015.(发表,SCI,IF:4.630)
[23]吕天光*,艾芊,孙树敏,程艳,赵媛媛. “含多微网的主动配电系统综合优化运行行为分析与建模.” 中国电机工程学报, 2016.(发表,EI)
部分学术获奖:
2022,中国电力科技创新奖二等奖
2021,中国电力科技创新奖一等奖首位
2021,山东电力科学技术进步奖三等奖
2021、2022,《电网技术》优秀审稿专家
2020,山东电机工程学会五四优秀青年科技工作者
2019,IEEE工业应用协会最佳论文奖
2019,上海交通大学优秀博士学位论文
2017,IEEE工业应用协会最佳论文奖
2017,中国电机工程学报年度优秀作者
2014,山东省优秀学位论文
科研项目:
1.国家自然基金
2.山东省优秀青年科学基金(海外)
3.中国科协“青年人才托举工程”
4.国网总部科技项目
5.3308维多利亚优惠大厅“齐鲁青年学者”建设项目
6.上海交通大学优秀博士学位论文培育基金
7.美国能源部研究项目
8.China 2030/2050: Energy and Environmental Challenges for the Future,Harvar
d Global Institute
9.基于能源细胞-组织架构的区域能源网分层调控、互动机制与市场交易研究,国家自然
科学基金重点项目
10.含高比例可再生能源的交直流混联系统协同优化运行理论,国家重点研发计划
联系方式:
tlu@sdu.edu.cn
tlu@seas.harvard.edu