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Lu Tianguang，Native place: Rongcheng City, Shandong Province，Born in May 1990。
Academic identity:
1.Qilu Young Scholar; Professor, Doctoral Supervisor
2.National Natural Science Joint Fund (Key) Project Leader; China Association for Science and Technology "Young Talent Promotion Project”Selected; Winner of Shandong Province Outstanding Youth Science Fund (Overseas)
3.Deputy Editor of "IET Renewable Power Generation"; Young Subject Editor of "CSEE Journal of Power and Energy Systems"; Guest Editor of "Frontiers in Energy Research"; Editorial Board Member of "Frontiers in Sustainable Cities"
4. China Electric Power Science and Technology Award review expert; member of the Blockchain Special Committee of the China Electrical Engineering Society; member of the Electric Power Technology Special Committee of the China Energy Research Association; member of the Youth Expert Group of the Journal Center of the China Electric Power Research Institute; China Intelligent Member of the Expert Committee of the Power Distribution and Internet of Things Innovation Alliance; Talent Expert of the National Intellectual Property Protection Center of Shandong Province; Commentator of China International Television (CCTV English News Channel)
5.IEEE Member; Senior Member of China Electrotechnical Society、Member of China Artificial Intelligence Society/China Electrical Engineering Society
Study and work experience:
2009-2013, Bachelor of Electrical Engineering, Shandong University
2016-2018，Georgia Institute of Technology Master of Computer Science
2013-2018, PhD in Electrical Engineering, Shanghai Jiao Tong University
2015, Project Engineer of ABB Beijing Co., Ltd.
2016-2017，Visiting scholar at University of Texas at Arlington/Iowa State University/Southern Methodist University
2018-2020, Harvard University Postdoc
2020Present，Visiting Researcher at Harvard University
2020Present, Professor of Shandong University
Research direction:
Power system operation optimization and intelligent sensing，Intelligent power distribution hierarchical control，Renewable energy grid connection，Electricity M88 Online Live CasinoMarket，Energy Economics and Policy
Course Information:
2019Teaching Assistant for Fall Undergraduate Courses，Future Energy Economies (ESPP90N)，Harvard University
2020Spring Undergraduate/Graduate Course Teaching Assistant，The Challenge of Human Induced Climate Change: Transitioning to a Post Fossil Fuel Future (ENVR E-103)，Harvard University
2020Present Fall Undergraduate Course Teacher，Power system dispatching and optimization method (sd01931910)，Shandong University
2021 Teachers of Fall Graduate Courses，Renewable Energy Technology (LX014184)，Shandong University
2021Present Spring Undergraduate Course Teacher，Introduction to Global Energy Internet (sd01932090)，Shandong University
Academic works:
Recruited/published more than 60 SCI/EI papers including Nature sub-journals (first author)，Selected as ESI Highly Cited Papers，Published one work、2 monographs by the editorial board，Authorized/accepted 14 domestic/international patents。Some journal results are as follows (* is the corresponding author):
[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. (accepted,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. (accepted,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. (Published,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.（Published,SCI,IF：8.001）
[5]T. Zhao, 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. (Published,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. (published，nature sub-magazine，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. (Published,SCI, IF: 9.746）
[8]F. Xiao, Tianguang Lu*, Q. Ai, X. Wang, X. Chen, T. Zhao, and Q. Wu. “Design and implementation of a data-driven approach to visualizing power quality.” IEEE Transactions on Smart Grid, 2020. (Published,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. (Published,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. (Published,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. (Published,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.(Published,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. (Published,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. (Published,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 m88 live casino gamesimages features and RBFNN.” IEEE Transactions on Industry Applications, 2019. (Published,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. (Published,SCI,IF：9.746）
[17]Tianguang Lu, W. Lee, Q. Ai, and S. Lu. “A priority decision making-based bidding strategy for interactive aggregators.” IEEE Transactions on Industry Applications, 2018.(Published,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.(Published,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. (Published,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.(Published,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. (Published,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.(Published,SCI, IF：4.630）
[23]Lu Tianguang*, Ai Qian, Sun Shumin, Cheng Yan, Zhao Yuanyuan. “Analysis and modeling of comprehensive optimized operation behavior of active power distribution system containing multiple microgrids.” Chinese Journal of Electrical Engineering, 2016.(Published,EI）
Some academic awards:
2022, Second Prize of China Electric Power Science and Technology Innovation Award
2021, the first prize winner of China Electric Power Science and Technology Innovation Award
2021, third prize of Shandong Electric Power Science and Technology Progress Award
2021、2022, excellent reviewer of "Power Grid Technology"
2020, Shandong Electrical Engineering Society May 4th Outstanding Young Scientists and Technologists
2019, IEEE Industrial Applications Society Best Paper Award
2019, Outstanding Doctoral Thesis of Shanghai Jiao Tong University
2017, IEEE Industrial Applications Society Best Paper Award
2017, annual outstanding author of the Chinese Journal of Electrical Engineering
2014，Outstanding Dissertation of Shandong Province
m88 sports bettingScientific research project:
1.National Natural Science Foundation of China
2.Shandong Province Outstanding Youth Science Fund (Overseas)
3.China Association for Science and Technology “Young Talent Promotion Project”
4.State Grid Headquarters Technology Project
5.Shandong University “Qilu Young Scholars” Construction Project
6.Shanghai Jiao Tong University Excellent Doctoral Thesis Cultivation Fund
7.U.S. Department of Energy Research Project
8.China 2030/2050: Energy and Environmental Challenges for the Future，Harvar
d Global Institute
9.Hierarchical regulation of regional energy network based on energy cell-organizational structure、Research on interactive mechanism and market transactions，National Nature
Science Fund Key Project
10.Coordinated optimization operation theory of AC and DC hybrid systems containing high proportion of renewable energy，National Key R&D Plan
Contact information:
tlu@sdu.edu.cn
tlu@seas.harvard.edu
