系所与团队：

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，山东大学“杰出中青年学者”。担任International Journal of Electrical Power & Energy Systems，Journal of Modern Power Systems and Clean Energy，Applied Energy等国际期刊（青年）编委

主要工作经历：

2024至今，山东大学，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

研究方向：

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

[2] Blink Trust Fund, “Maximizing Dynamic Voltage Support of Renewables in Net Zero Power Grids”, 主持

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

[4] 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

[5] 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

[6] 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

[7] 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）。