Zhigang Li, Ph.D.
Associate Professor,
School of Electrical Power Engineering,
South China University of Technology,
Higher Education Mega Center, Panyu,
Guangzhou 510006, P.R.China
E-mail:lizg16@scut.edu.cn
Google Scholar:https://scholar.google.com/citations?user=Ay7N3FAAAAAJ&hl=en
BIOGRAPHY
Zhigang Li received the B. Eng. and Ph.D. degrees in electrical engineering from Tsinghua University, Beijing, China, in 2011 and 2016, respectively. He was a visiting scholar at Robert W. Galvin Center for Electricity Innovation at Illinois Institute of Technology from Sept. 2014 to Sept. 2015, funded by the China Scholarship Council. He was also a visiting scholar at Energy System Division, Argonne National Laboratory, U.S., from May 2015 to Sept. 2015. He has been an Associate Professor with the School of Electric Power Engineering, South China University, since Apr. 2016.
Dr. Li’s research interests include power system optimization and control, renewable energy integration, and integrated energy systems analysis with specific focus on large-scale wind power generation dispatch. Dr. Li has authored and co-authored 26 technical papers in IEEE Transactions on Power Systems, IEEE Transactions on Sustainable Energy, and IEEE Transactions on Smart Grid. He received the Best Paper Award from the Chinese Society of Electrical Engineering for his journal paper in Automation of Electrical Power Systems in 2014. He has reviewed more than 80 papers for IEEE Transactions on Power Systems, IEEE Transactions on Sustainable Energy, IEEE Transactions on Smart Grid, IEEE Power Engineering Letters, IEEE Transactions on Industrial Informatics, IET Generation, Transmission and Distributions, IET Renewable Power Generation, Electric Power Components and Systems, Journal of Modern Power and Clean Energy, CSEE Journal of Power and Energy Systems, IEEE Power & Energy Society General Meetings. He is the recipient of the Outstanding Reviewer for 2016 of IEEE Transactions on Power Systems for his contribution to the review activities of that journal.
Dr. Li was one of the ten recipients the Prospective Scholar Honor of Tsinghua University in 2016 for his academic achievements. He was the recipient of Excellent Ph.D. Thesis Award for his dissertation entitled Multi-Dimension Coordinated Power Dispatch Methods for Interconnected Power Systems Accommodating Large-Scale Wind Power Integration. He also received the Outstanding Ph.D. Graduate Award from Tsinghua University, and the Distinguished Graduate of Colleges and Universities from Beijing City.
EDUCATION
Ph.D.Department of Electrical Engineering, Tsinghua University, Beijing, 2016 (High Honors)
B.S.E.EDepartment of Electrical Engineering, Tsinghua University, Beijing, 2011 (High Honors)
2016-presentAssociate Professor, School of Electric Power Engineering, South China University of Technology
HONORS AND AWARDS
2016IEEE Transactions on Power Systems Outstanding Reviewer for 2016
2016Distinguished Graduate Scholar Honor, Tsinghua University
2016Excellent Ph.D. Thesis Award, Tsinghua University
2016Outstanding Ph.D. Graduate Award, Tsinghua University
2016Outstanding Graduate of Colleges and University, Beijing City
PROFESSIONAL ACTIVITIES
IEEE/PES Activities
2016-presentMember, IEEE
2012-2016Student Member, IEEE
Technical Review Activities
Technical reviewer (reviewed 80 papers) for IEEE Transactions on Power Systems, IEEE Transactions on Sustainable Energy, IEEE Transactions on Smart Grid, IEEE Power Engineering Letters, IEEE Transactions on Industrial Informatics, IET Generation, Transmission and Distributions, IET Renewable Power Generation, Electric Power Components and Systems, Journal of Modern Power and Clean Energy, Journal of Power and Energy Systems, IEEE Power & Energy Society General Meetings.
TECHNICAL PUBLICATIONS
Journal Publications
1.Z. Li, W. Wu, B. Zeng, M. Shahidehpour, and B. Zhang, Decentralized Contingency-Constrained Tie-Line scheduling for Multi-Area power grids, IEEE Trans. Power Syst., vol. 32, pp. 354-367, Jan. 2017.
2.F. Qiu,Z. Li* and J. Wang, A Data-Driven approach to improve wind dispatchability, IEEE Trans. Power Syst., vol. 32, pp. 421-429, Jan. 2017.
3.Z. Li, W. Wu, M. Shahidehpour, and B. Zhang, Adaptive robust Tie-Line scheduling considering wind power uncertainty for interconnected power systems, IEEE Trans. Power Syst., vol. 31, pp. 2701-2713, July 2016.
4.Z. Li, F. Qiu and J. Wang, Data-driven real-time power dispatch for maximizing variable renewable generation, Applied Energy, vol. 170, pp. 304-313, May 2016.
5.Z. Li, W. Wu, J. Wang, B. Zhang, and T. Zheng, Transmission-Constrained unit commitment considering combined electricity and district heating networks, IEEE Trans. Sustain. Energy, vol. 7, pp. 480-492, April 2016.
6.Z. Li, W. Wu, M. Shahidehpour, J. Wang, and B. Zhang, Combined heat and power dispatch considering pipeline energy storage of district heating network, IEEE Trans. Sustain. Energy, vol. 7, pp. 12-22, Jan. 2016.
7.Z. Li, W. Wu, B. Zhang, and B. Wang, Decentralized Multi-Area dynamic economic dispatch using modified generalized benders decomposition, IEEE Trans. Power Syst., vol. 31, pp. 526-538, Jan. 2016.
8.Z. Li, M. Shahidehpour, W. Wu, B. Zeng, B. Zhang, and W. Zheng, Decentralized multiarea robust generation unit and Tie-Line scheduling under wind power uncertainty, IEEE Trans. Sustain. Energy, vol. 6, pp. 1377-1388, Oct. 2015.
9.Z. Li, W. Wu, B. Zhang, and B. Wang, Robust Look-Ahead power dispatch with adjustable conservativeness accommodating significant wind power integration, IEEE Trans. Sustain. Energy, vol. 6, pp. 781-790, July 2015.
10.Z. Li, W. Wu, B. Zhang, and H. Sun, Efficient location of unsatisfiable transmission constraints in Look-Ahead dispatch via an enhanced lagrangian relaxation framework, IEEE Trans. Power Syst., vol. 30, pp. 1233-1242, May 2015.
11.Z. Li, W. Wu, B. Zhang, and B. Wang, Adjustable robust Real-Time power dispatch with Large-Scale wind power integration, IEEE Trans. Sustain. Energy, vol. 6, pp. 357-368, April 2015.
12.Z. Li, W. Wu, B. Zhang, “A robust interval economic dispatch method accommodating large-scale wind power generation Part II: uncertainty set construction and conservativeness adjustment”, Automation of Electrical Power Systems, vol. 38, no. 21, pp. 32-38, Oct. 2014.
13.Z. Li, W. Wu, B. Zhang, “A robust interval economic dispatch method accommodating large-scale wind power generation Part I: dispatch scheme and mathematical formulation”, Automation of Electrical Power Systems, vol. 38, no. 20, pp. 33-39, Oct. 2014.
14.Z. Li, W. Wu, B. Zhang, H. Sun, “A look-ahead generation dispatch method considering discrete generation regulation constraints with large-scale wind power integration,” Automation of Electric Power Systems, vol. 38, no. 10, pp. 36-42, May 2014.
15.Z. Li, W. Wu, B. Zhang, H. Sun, and Q. Guo, Dynamic economic dispatch using lagrangian relaxation with multiplier updates based on a Quasi-Newton method, IEEE Trans. Power Syst., vol. 28, pp. 4516-4527, Nov. 2013.
16.Z. Li, W. Wu, B. Zhang, Q. Guo, “A large-scale reactive power optimization method based on Gaussian penalty function with discrete control variables,” Proceedings of the Chinese Society of Electrical Engineering, vol. 3, no. 4, pp. 68-76, Feb. 2013.
17.Y. Kou, J. Zheng,Z. Li, and Q. H. Wu, “Many-objective Optimization for Coordinated Operation ofIntegrated Electricity and Gas Network”, Journal of Modern Power System and Clean Energy, accepted.
18.Q. Chen, F. Wang, B. Hodge, J. Zhang,Z. Li, M. Shafie-khah, J. Catalao, “Dynamic Price Vector Formation Model Based Automatic Demand Response Strategy forPV-assisted EV Charging Stations”, IEEE Trans. Smart Grid, accepted.
19.C. Lin, W. Wu, B. Zhang, B. Wang, W. Zheng, andZ. Li, Decentralized reactive power optimization method for transmission and distribution networks accommodating Large-Scale DG integration, IEEE Trans. Sustain. Energy, vol. 8, pp. 363-373, Jan. 2017.
20.R. Chen, H. Sun, Q. Guo,Z. Li, and B. Zhang, A Generation-Interval-Based mechanism for managing the power generation uncertainties of variable generation, IEEE Trans. Sustain. Energy, vol. 7, pp. 1060-1070, July 2016.
21.W. Zheng, W. Wu, B. Zhang,Z. Li, and Y. Liu, Fully distributed multi-area economic dispatch method for active distribution networks, IET Generation, Transmission & Distribution, vol. 9, pp. 1341-1351, Sept. 2015.
22.R. Chen, H. Sun, Q. Guo,Z. Li, T. Deng, W. Wu, and B. Zhang, Reducing generation uncertainty by integrating CSP with wind power: An adaptive robust Optimization-Based analysis, IEEE Trans. Sustain. Energy, vol. 6, pp. 583-594, April 2015.
23.Y. Liu, W. Wu, B. Zhang, Z. Li,Z. Li, “A Mixed Integer Second-order Cone Programming Based Active and Reactive PowerCoordinated Multi-period Optimization for Active Distribution Network”, Proceedings of the CSEE, vol. 34, no. 16, pp. 2575-2583, June 2014.
Conference Papers
1.Z. Li, W. Wu, B. Zhang, B. Wang, and H. Sun, Dynamic economic dispatch with spinning reserve constraints considering wind power integration, in Power and Energy Society General Meeting (PES), 2013 IEEE, 2013, pp. 1-5.
2.C. Lin, W. Wu,Z. Li, and B. Zhang, “Decentralized Economic Dispatch for Transmission and Distribution Networks via Modified Generalized Benders Decomposition,”in Power and Energy Society General Meeting (PES), 2017 IEEE.
3.J. H. Zheng, Y. N. Kou,Z. Li, and Q. H. Wu, “Unscented Transformation-based Fast Scheduling Optimization for Large-Scale Unit CommitmentConsidering Uncertainties of Wind and Solar Power,” in Power and Energy Society General Meeting (PES), 2017 IEEE.