继电保护研究所

学术身份

教授、博士生导师，国家高层次青年人才计划入选者，山东省高层次青年人才计划入选者，99905银河官方网“杰出中青年学者”。担任International Journal of Electrical Power & Energy Systems，Applied Energy，Journal of Modern Power Systems and Clean Energy 等国际期刊（青年）编委，IEEE PES Task Force on Networked Microgrids in Energy Internet成员

个人信息

姓名：

郭一飞

性别：

男

出生日期：

1992.04

籍贯：

淄博

职称：

教授

电话：

Email：

yifei.guo@sdu.edu.cn

个人主页：

主要工作经历

2024至今，99905银河官方网，教授

2023-2024，英国阿伯丁大学，讲师

2023，瑞士苏黎世联邦理工学院，访问学者

2020-2022，英国帝国理工学院，博士后

2019-2020，美国爱荷华州立大学，博士后

2017-2018，丹麦科技大学，访问学者

研究兴趣

新能源电力系统运行优化、稳定控制、保护；最优化理论、复杂网络理论在电力系统中的应用

学术著作

近年代表性论文：

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.

主要科研项目

1.      国家自然科学基金，“高渗透率新能源配电网电压控制关键技术”，主持

2.      英国皇家学会基金, “Optimal   Transient Control of Grid-Forming Renewable Energy Under Large Disturbances”,   主持

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

4.      英国工程和自然科学基金, “Resilient   Operation of Sustainable Energy Systems”, 参与

5.      美国国家科学基金杰出青年项目, “Learning   Smart Meter Data to Enhance Distribution Grid Modeling and Observability”, 参与

6.      美国能源部项目, “Optimal   Operation and Impact Assessment of Distributed Wind for Improving Efficiency   and Resilience of Rural Electricity Systems”, 参与

7.      国家自然科学基金，“基于VSC-HVDC并网的大规模海上风电场分布式控制与保护”，参与

8.      国家重点研发计划，“大型交直流混联电网运行控制和保护”，参与

奖励情况

山东省优秀博士学位论文（同年度电气领域唯一）

招生类型

培养学术型、专业型（硕、博）研究生以及博士后，成绩优异者可与海外名校联合培养。诚挚欢迎有电气、控制、应用数学、物理等相关背景的同学和研究人员加入课题组，共同探索未知世界，有意向者请邮件联系（附个人简历）。