Yuzhong Gong, PhD

Biography

Gong
Dr. Yuzhong Gong is currently a Postdoctoral Fellow in the Department of Electrical and Computer Engineering at the University of Saskatchewan, Canada, working with Dr. C.Y. Chung. 

Dr. Gong received his B.S. degree in electrical engineering from Zhejiang University of Technology in 2010, and Ph.D. in electrical engineering from Zhejiang University in 2015. From Jan 2014 to July 2014, he was a visiting Ph.D. student in the Department of Electrical and Computer Engineering at University of Texas at Austin, United States, collaborating with Dr. Ross Baldick.

Dr. Gong’s research interests include power system operation and optimization, renewable energy integration, energy storage applications, and high performance computing. He has published 3 SCI journal paper and 2 EI journal papers, and holds 2 Chinese patents.

Dr. Gong is currently a Member of IEEE, external reviewer of IEEE Transactions on Power Systems, IEEE Transactions on Smart Grid, IEEE Transactions on Sustainable Energy, IET Generation, Transmission & Distribution, and Intelligent Industrial Systems.

Publications

  1. Y.Z. Gong, C.Y. Chung, and R.S. Mall, “Power System Operational Adequacy Evaluation with Wind Power Ramp Limits”, IEEE Transactions on Power Systems, vol. 33, Issue 3, May 2018, pp. 2706-2716.
  2. Y.Z. Gong, Q.Y. Jiang, and R. Baldick, “Ramp Event Forecast based Wind Power Ramp Control with Energy Storage System”, IEEE Transactions on Power Systems, vol. 31, no. 3, pp. 1831-1844, May. 2016.
  3. Q.Y. Jiang, Y.Z. Gong, H.J. Wang, “A Battery Energy Storage System Dual-Layer Control Strategy for Mitigating Wind Farm Fluctuations”, IEEE Transactions on Power Systems, vol. 28, no. 3, pp. 3263-3273, Aug. 2013.
  4. Y.Z. Gong, H.J. Wang and Q.Y. Jiang, “Dynamic Optimization of Wind Power Ramp Limitation Based on Power System Frequency Deviation”, Power System Technology, vol. 39, no. 9, pp. 2377-2384, Sep. 2015.
  5. Q.Y. Jiang and Y.Z. Gong, “Review of Wind Power Integration Control with Energy Storage Technology”, Power System Technology, vol. 39, no. 12, pp. 3360-3368, Dec. 2015.

Research

Current Research Area

Stochastic Unit Commitment

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