National high-level talents
Guo Yifei
Publish time: November 18, 2024 11:24    Author:    点击:[]

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Relay Protection Research Institute

Academic Identity

Professor、Doctoral Supervisor,Selected National High-Level Young Talent Program,Selected candidates of Shandong Province High-Level Young Talents Program,“Outstanding Young and Middle-aged Scholars” of Shandong University。danRenInternational Journal of Electrical Power & Energy Systems,Applied Energy,Journal of Modern Power Systems and Clean Energy Editorial board member of other international journals (youth),IEEE PES Task Force on Networked Microgrids in Energy InternetMember

Personal information

Name:

Guo Yifei

Gender:

Male

Date of birth:

1992.04

Hometown:

Zibo

Professional title:

Professor

Tel:

Email

yifei.guo@sdu.edu.cn

Personal homepage:

 

Main work experience

2024Present, Shandong University, professor

2023-2024University of Aberdeen, UK, Lecturer

2023, Visiting Scholar, ETH Zurich, Switzerland

2020-2022, Imperial College LondonPostdoc

2019-2020, Iowa State University, USA, postdoctoral fellow

2017-2018, Technical University of Denmark, visiting scholar

Research Interests

New energy power system operation optimization、Stability control、Protect;Optimization theory、Application of complex network theory in power system

Academic works

Representative papers in recent years:

1.  A. Arjomandi-Nezhad,   Y. Guo, B. C. Pal, D. Varagnolo, “A model predictive approach for enhancing   transient stability of grid-forming converters,” IEEE Transactions on   Power Systems, early access, 2024.

2.  R.   Luo, H. Gao, F. Peng, Y. Guo, “An adaptive low-Voltage ride-through method   for virtual synchronous generators during asymmetrical grid faults,” IEEE   Transactions on Sustainable Energy, early access, 2024.

3.  Y. Guo, B. C. Pal,   and R. A. Jabr, “Model-free optimal control of inverter for dynamic voltage   support,” IEEE Transactions on Power Systems, vol. 38, no. 6, pp.   5860–5871, Nov. 2023.

4.  Y. Guo, B. C. Pal, R.   A. Jabr, and H. Geng, “Global optimality of inverter dynamic voltage   support,” IEEE Transactions on Power Systems, vol. 37, no. 5, pp.   3947–3957, Sep. 2022.

5.  Y. Guo, B. C. Pal,   and R. A. Jabr, “On the optimality of voltage unbalance attenuation by   inverters,” IEEE Transactions on Sustainable Energy, vol. 22, no. 3,   pp. 1492–1506, July 2022.

6.   Peng, H. Gao, J. Huang, Y. Guo, Y. Liu,   and Y. Zhang, “Power differential protection for transformer based on fault   component network,” IEEE Transactions on Power Delivery, vol. 38, no.   4, pp. 2464-2477, Aug. 2023.

7.   R. Cheng, Z. Wang, Y.   Guo, and Q. Zhang, “Online voltage control for unbalanced distribution   networks using projected Newton method,” IEEE Transactions on Power   Systems, vol. 37, no. 6, pp.4747-4760, Nov. 2022.

8.  R. Cheng, Z. Wang,   and Y. Guo, “An online feedback-based linearized power flow model for   unbalanced distribution networks,” IEEE Transactions on Power Systems,   vol. 37, no. 5, pp. 3552-3565, Sep. 2022.

9.  Y. Guo, Y. Yuan, and   Z. Wang, “Distribution grid modeling using smart meter data,” IEEE   Transactions on Power Systems, vol. 37, no. 3, May 2022.

10. Y. Guo, Q. Zhang, and   Z. Wang, “Cooperative peak shaving and voltage regulation in unbalanced distribution   feeders,” IEEE Transactions on Power Systems, vol. 36, no. 6, pp.   5235-5244, Nov. 2021.

11.Q. Zhang, Y. Guo, Z.   Wang, and F. Bu, “Distributed optimal conservation voltage reduction in   integrated primary-secondary distribution systems,” IEEE Transactions on   Smart Grid, vol. 12, no. 5, pp. 3889-3900, Sep. 2021.

12. Y. Yuan, Y. Guo, K.   Dehghanpour, Z. Wang, and Y. Wang, “Learning-based real-time event   identification using rich real PMU data,” IEEE Transactions on Power   Systems, vol. 36, no. 6, pp. 5044-5055, Nov. 2021.

13. F. Bu, K.   Dehghanpour, Y. Yuan, Z. Wang, and Y. Guo, “Disaggregating customer-level   behind-the-meter PV generation using smart meter data and solar exemplars,” IEEE   Transactions on Power Systems, vol. 36, no. 6, pp. 5417-5427, Nov. 2021.

14. Y. Guo, H. Gao, D.   Wang, and Q. Wu, “Online optimal voltage regulation of VSC-HVDC connected wind   farms using gradient projection: decentralized and asynchronous   implementations,” IEEE Transactions on Sustainable Energy, vol. 12,   no. 2, pp. 1489-1492, Apr. 2021.

15. Z. Ma, Z. Wang, Y.   Guo, Y. Yuan, and H. Chen, “Nonlinear multiple models adaptive secondary   voltage control of microgrids,” IEEE Transactions on Smart Grid,   vol.12, no.1, pp.227-238, Jan. 2021.

16. Y. Guo, H. Gao, and   Z. Wang, “Distributed online voltage control for wind farms using generalized   fast dual ascent,” IEEE Transactions on Power Systems, vol.35, no.6,   pp.4505-4517, Nov. 2020.

17. D. Wang, M. Hou, and   Y. Guo, “Travelling wave fault location of HVAC transmission line based on frequency-dependent   characteristic,” IEEE Transactions on Power Delivery, vol. 36, no. 6,   pp. 3496-3505, Dec. 2021.

18. Y. Guo and H. Gao,   “Data-driven online system equivalent for self-adaptive droop voltage control   of wind power plants,” IEEE Transactions on Energy Conversion, vol.   35, no. 1, pp. 302-305, Mar. 2020.

19. S. Huang, Q. Wu, Y.   Guo, and F. Rong, “Hierarchical active power control of DFIG wind farm with distributed   energy storage based on ADMM,” IEEE Transactions on Sustainable Energy,   vol. 11, no. 3, pp. 1528-1538, Jul. 2020.

20. S. Huang, Q. Wu, Y.   Guo, X. Chen, B. Zhou, and C. Li, “Distributed voltage control based on ADMM   for large-scale wind farm cluster connected to VSC-HVDC,” IEEE   Transactions on Sustainable Energy, vol. 11, no. 2, pp. 584-594, Apr.   2020.

21. Y. Guo, Q. Wu, H.   Gao, S. Huang, B. Zhou, and C. Li, “Double-time-scale coordinated voltage   control in active distribution networks based on MPC,” IEEE Transactions   on Sustainable Energy, vol. 11, no. 1, pp. 294-303, Jan. 2020.

22. Y. Guo, Q. Wu, H.   Gao, X. Chen, and J. ➢stergaard, “MPC-based coordinated voltage regulation   for distribution networks with distributed generation and energy storage   system,” IEEE Transactions on Sustainable Energy, vol. 10, no. 4, pp.   1731-1739, Oct. 2019.

23. Y. Guo, H. Gao, H.   Xing, Q. Wu, and Z. Lin, “Decentralized coordinated voltage control of   VSC-HVDC connected wind farms based on ADMM,” IEEE Transactions on   Sustainable Energy, vol. 10, no. 2, pp. 800-810, Apr. 2019.

24. Y. Guo, H. Gao, Q.   Wu, H. Zhao, J. ➢stergaard, and M. Shahidehpour, “Enhanced voltage control of   VSC-HVDC-connected offshore wind farms based on model predictive control,” IEEE   Transactions on Sustainable Energy, vol. 9, no. 1, pp. 474-487, Jan.   2018.

25. Y. Guo, H. Gao, and   Q. Wu, “A combined reliability model of VSC-HVDC connected offshore wind farms   considering wind speed correlation,” IEEE Transactions on Sustainable   Energy, vol. 8, no. 4, pp. 1637-1646, Oct. 2017.

Main scientific research projects

1.      National Natural Science Foundation of China,“Key technology for voltage control of high penetration new energy distribution network”,Host

2.      Royal Society Fund, “Optimal   Transient Control of Grid-Forming Renewable Energy Under Large Disturbances”,   Host

3. Blink Trust Fund, “Maximizing Dynamic Voltage Support of Renewables in Net Zero  Power Grids”, Host

4.      British Engineering and Natural Science Foundation, “Resilient   Operation of Sustainable Energy Systems”, Participate

5.      U.S. National Science Foundation Distinguished Young Scholars Program, “Learning   Smart Meter Data to Enhance Distribution Grid Modeling and Observability”, Participate

6.      U.S. Department of Energy Project, “Optimal   Operation and Impact Assessment of Distributed Wind for Improving Efficiency   and Resilience of Rural Electricity Systems”, Participate

7.      National Natural Science Foundation of ChinaBased onVSC-HVDCDistributed control and protection of large-scale offshore wind farms connected to the grid”,Participate

8.      National Key R&D PlanOperation Control and Protection of Large-scale AC and DC Hybrid Power Grids", participate

Reward status

Outstanding doctoral thesis in Shandong Province (the only one in the electrical field in the same year)

Enrollment Type

Cultivation of academic types、Professional (Master's degree)、Ph.D.) graduate students and postdoctoral students,Those with excellent grades can be jointly trained with famous overseas schools。Sincerely welcome You Electric、Control、Applied Mathematics、Students and researchers with physics and other related backgrounds join the research group,Explore the unknown world together,If interested, please contact us by email (with resume)。

 

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