Prof Bo Hu | Power System | Best Researcher Award
Professor, Doctoral Supervisor at School of Electrical Engineering, Chongqing University,China
Bo Hu, born in 1983, is a prominent professor and doctoral supervisor at the School of Electrical Engineering, Chongqing University. With a Ph.D. in engineering obtained in 2010, he has risen through the academic ranks, becoming a full professor by 2018. He is recognized for his leadership as a senior member of IEEE and holds significant roles within various committees, contributing to the advancement of power systems and energy technologies.
Profile
Education ๐
Bo Hu completed his Ph.D. in engineering at Chongqing University in 2010. His educational background has been pivotal in shaping his expertise in electrical engineering, particularly in the areas of power system planning and reliability.
Professional Experience ๐ ๏ธ
With over a decade of experience, Bo Hu has transitioned from associate professor to full professor at Chongqing University. He is currently an associate editor for IEEE Transactions on Power Systems, showcasing his influential role in the academic community and his commitment to advancing electrical engineering research.
Research Interests ๐
His primary research interests include power system planning and reliability, energy system analysis, and the integration of artificial intelligence and big data in energy solutions. Bo Hu is dedicated to exploring innovative methodologies to enhance the reliability of power systems, particularly those incorporating renewable energy sources.
Awards and Achievements ๐
Bo Hu has received numerous accolades, including the National Electric Power Science and Technology Progress Award and Chongqingโs Natural Science First Prize. His contributions to the field have been recognized with several prestigious awards, underlining his impact and leadership in electrical engineering.
Technical Skills โ๏ธ
Bo Hu possesses advanced technical skills in power system analysis, reliability assessment, and optimization algorithms. His expertise extends to the application of artificial intelligence in energy systems, making significant contributions to modern power system reliability and operation.
Research Focus ๐ฏ
His current research focuses on developing methodologies for power systems with high proportions of renewable energy sources, addressing challenges in reliability and operational efficiency. He actively leads several projects aimed at optimizing energy systems through innovative research techniques.
Publication Top Notes ๐
- C. Lin, B. Hu, C. Shao, K. Xie, J. C.-H. Peng
“Computation Offloading for Cloud-Edge Collaborative Virtual Power Plant Frequency Regulation Service,”
Journal: IEEE Transactions on Smart Grid
Year: 2024 - S. Zhao et al.
“Unreliability Tracing of Power Systems for Identifying the Most Critical Risk Factors Considering Mixed Uncertainties in Wind Power Output,”
Journal: Protection and Control of Modern Power Systems
Year: 2024 - P. Li et al.
“A Defense Planning Model for a Power System Against Coordinated Cyber-Physical Attack,”
Journal: Protection and Control of Modern Power Systems
Year: 2024 - C. Shao, S. Zhao, F. Qi, B. Hu, K. Xie
“Reliability Evaluation of Multi-Area Integrated Electricity-Gas Systems Based on the Improved Uniform Design,”
Journal: IEEE Transactions on Power Systems
Year: 2024 - Z. Wei et al.
“Distribution System Restoration with Cyber Failures Based on Co-Dispatching of Multiple Recovery Resources,”
Journal: Journal of Modern Power Systems and Clean Energy
Year: 2024 - C. Pan et al.
“Reliability-Constrained Economic Dispatch With Analytical Formulation of Operational Risk Evaluation,”
Journal: IEEE Transactions on Power Systems
Year: 2024 - L. Wang et al.
“Multi-Area Frequency-Constrained Unit Commitment for Power Systems with High Penetration of Renewable Energy Sources and Induction Machine Load,”
Journal: Journal of Modern Power Systems and Clean Energy
Year: 2024 - X. Li, K. Xie, C. Shao, B. Hu
“A Region-Based Approach for the Operational Reliability Evaluation of Power Systems With Renewable Energy Integration,”
Journal: IEEE Transactions on Power Systems
Year: 2024 - Y. Hu et al.
“Capacity Allocation of Renewable Energy Sources Considering Complementarity,”
Journal: CSEE Journal of Power and Energy Systems
Year: 2024 - L. Xu, B. Hu, C. Shao, et al.
“A fully analytical approach for the real-time dynamic reliability evaluation of composite power systems with renewable energy sources,”
Journal: Engineering
Year: 2024 (Accepted) - C. Lin, B. Hu, H.-M. Tai, et al.
“Performance optimization of VPP in fast frequency control ancillary service provision,”
Journal: Applied Energy
Year: 2024 - H. Lu, K. Xie, B. Hu, et al.
“Reliability-flexibility integrated optimal sizing of second-life battery energy storage systems in distribution networks,”
Journal: IET Renewable Power Generation
Year: 2024