1. PERSONAL DETAILS:
Name: | Tao YU |
Occupation: | Fully Professor, Doctor Director, Head of Smart Distribution Grids & Energy- saving Research Group |
E-mail: | taoyu1@scut.edu.cn yutao99@tsinghua.org.cn |
Tel: | +86 13002088518 (Mobile) |
Address: | School of Electric Power, South China University of Technology, Wushan RD., Tianhe District, Guangzhou, P. R. China, 510641 |
2. EDUCATION:
1992-1996 Degree of B.Eng. in Electric Power System and its Automation, Zhejiang University, China.
1999-2003 Degree of Ph.D. in Electrical Engineering, Distinction, Tsinghua University, China; Supervisors: Academician of Chinese Academy of Sciences, Prof. Lu Qiang.
3. RESEARCH INTERESTS:
1. Computational Intelligence Techniques in Planning, and Operation of Power Systems;
2. Nonlinear and Coordinated Control Theory;
3. Smart Distribution Grid Technology;
5. Energy Internet Technology.
4. EMPLOYMENT & RESEARCH EXPERIENCES:
1. Lecturer, South China University of Technology (SCUT), P. R. China (July 2003 – Dec. 2006)
2. Senior Research Associate, The Hong Kong Polytechnic University, Hong Kong SAR (Apr. 2005 – Apr. 2006)
3. Associate Professor, South China University of Technology, P. R. China (Jan. 2007 – Dec. 2011)
4. Professor, South China University of Technology, P. R. China (Jan. 2012 – Present)
5. Visiting Scholar, The University of Sydney, Australia, (July, 2014-Mar. 2015)
5. AWARDS:
1. Beijing Government Science and Technology Prize 2002 – Tsinghua University
2. Science and Technology 2nd Class Prize 2007 of China Southern Grid Cooperation – SCUT
3. Science and Technology 2nd Class Prize 2008 of Guangdong Electric Power Company – SCUT
4. Postgraduate Teaching Achievement Award 2008, Postgraduates School of SCUT
5. Science and Technology 3nd Class Prize 2010 of Guangdong Electric Power Company – SCUT
6. Science and Technology 3nd Class Prize 2011 of Guangdong Electric Power Company – SCUT
7. Science and Technology 3nd Class Prize 2012 of Guangdong Electric Power Company – SCUT
8. Science and Technology 3nd Class Prize 2012 of Guizhou Electric Power Company – SCUT
6. TEACHING ACTIVITIES:
1. “Dynamic power system analysis” for Postgraduates – SCUT
2. “Electric Power System Analysis” for Undergraduates – SCUT
7. REPRESENTATIVE INTERNATIONAL JOURNAL PAPERS:
1. T. Yu, B. Zhou, K. W. Chan, Y. Yuan, B. Yang, and Q. H. Wu, “R(λ) imitation learning for automatic generation control of interconnected power grids,” Automatica, vol. 48, no. 9, pp. 2130-2136, Sep. 2012.
2. T. Yu, B. Zhou, K. W. Chan, L. Chen, and B. Yang, “Stochastic optimal relaxed automatic generation control in Non-Markov environment based on multi-step Q(λ) learning,” IEEE Transactions on Power Systems, vol. 26, no. 3, pp. 1272-1282, Aug. 2011.
3. T.Yu, H.Z. Wang, B. Zhou, K.W. Chan. Multi-Agent Correlated Equilibrium Q(λ) Learning for Coordinated Smart Generation Control of Interconnected Power Grids. IEEE Transactions on Power Systems. 2015,30(4)1-11: 1669-1679
4. T. Yu, J. Liu, X. B. Hu, and K. W. Chan, “Optimal power flow of large-scale power grid based on distributed multi-step backtrack Q(λ) learning”. International Journal of Electrical Power and Energy Systems, vol. 42, no. 1, pp. 614-620, Nov. 2012.
5. T. Yu, Y. M. Wang, W. J. Ye, B. Zhou, and K. W. Chan, “Stochastic optimal generation command dispatch based on improved hierarchical reinforcement learning approach,” IET Generation, Transmission & Distribution, vol. 5, no. 8, pp. 789-797, Aug. 2011.
6. T. Yu, B. Zhou, K. W. Chan, and E. Lu, “Stochastic optimal CPS relaxed control methodology for interconnected power systems using Q-learning method,” Journal of Energy Engineering, vol. 137, no. 3, pp. 116-129, Sep. 2011.
7. T. Yu, K. W. Chan, J. P. Tong, B. Zhou, and D. H. Li, “Coordinated robust nonlinear boiler-turbine-generator control systems via approximate dynamic feedback linearization,” Journal of Process Control, vol. 20, no. 4, pp. 365-374, Apr. 2010.
8. T. Yu, J. P. Tong, and K. W. Chan, “Damping analysis of primary control and auxiliary control of HVDC system,” European Transaction on Electric Power, vol. 20, no. 5, pp. 672-693, Jul. 2010.
9. Lei Xi, Tao Yu*, Bo Yang, Xiaoshun Zhang. A novel multi-agent decentralized win or learn fast policy hill-climbing with eligibility trace algorithm for smart generation control of interconnected complex power grids. Energy conversion and management. 2015,103(10): 82-93. (SCI, IF: 4.38)
10. Tao Yu, Lei Xi, Bo Yang, Zhao Xu, Lin Jiang. Multi-agent Stochastic Dynamic Game for Smart Generation Control. Journal of Energy Engineering. DOI：10.1061/ (ASCE) EY.1943 -7897. 0000275.
11. X.S.Zhang, Tao Yu*, Bo Yang, Approximate ideal multi-objective solution Q(λ) learning for optimal carbon-energy combined-flow in multi-energy power systems. Energy conversion and management. 2015,16: 543-556
12. B. Zhou, K. W. Chan. T. Yu, “Equilibrium- Inspired Multiple Group Search Optimizer with Synergistic Learning for Multi-objective Electric Power Dispatch”. IEEE Transaction on Power Systems. 28(4), 2013:3534-3545
13. T.Yu. X.S. Zhang, B. Zhou, Hierarchical Correlated Q-Learning for Multi-layer Optimal Generation Command Dispatch has been accepted for publication in International Journal of Electrical Power and Energy Systems