Associate Professor at Changsha University of Science and Technology, China
Dr. Weiyu Wang is an accomplished Associate Professor at the School of Electrical and Information Engineering, Changsha University of Science and Technology, China. He earned his B.S. and Ph.D. degrees in Electrical and Information Engineering from Hunan University, respectively. He was a Visiting Researcher at the University of Liverpool, U.K., enhancing his expertise in advanced power system stability and control. Since joining CSUST, Dr. Wang has led multiple national and provincial research projects focused on hybrid AC/DC power systems, HVDC technology, and renewable energy integration. and SCI-indexed journal publications, he is a rising figure in the field of electrical power engineering. Recognized as an Outstanding Reviewer by IEEE Transactions on Power Systems in , he continues to advance innovative solutions for modern energy systems.
Professional Profile
ORCID Profile | Google Scholar
Education
Dr. Weiyu Wang academic journey is marked by excellence in electrical and information engineering. He obtained his Bachelor of Science degree from Hunan University , where he developed a strong foundation in power systems, electronics, and control theory. Driven by a passion for advanced research, he continued at Hunan University to pursue his Ph.D. in Electrical and Information Engineering, which he completed in . His doctoral research focused on stability analysis and control of hybrid AC/DC power systems, a cutting-edge area crucial for integrating renewable energy into modern grids. During his Ph.D., he broadened his academic horizon as a Visiting Researcher at the University of Liverpool, U.K, engaging in collaborative international research on oscillation control and HVDC systems. This diverse educational background provided him with both deep technical knowledge and global perspectives, shaping his expertise in power system innovation.
Experience
Dr. Weiyu Wang began his academic career in as a Lecturer at the School of Electrical and Information Engineering, Changsha University of Science and Technology (CSUST). Within just four years, his significant research contributions and leadership in power systems earned him a promotion to Associate Professor. He has managed multiple funded projects, including those supported by the National Natural Science Foundation of China and the Hunan Provincial Natural Science Foundation, focusing on hybrid AC/DC system stability, HVDC oscillation control, and renewable energy integration. In addition to academic research, Dr. Wang has collaborated with State Grid companies on consultancy projects addressing grid stability, energy efficiency, and fire risk assessment for transmission lines. His blend of theoretical expertise and real-world applications positions him as a leading voice in advancing sustainable and intelligent energy systems.
Research Interest
Dr. Weiyu Wang research interests lie at the intersection of power system stability, control theory, and renewable energy integration. He focuses on stability analysis and hierarchical damping control for hybrid AC/DC power systems , particularly in systems involving multi-terminal HVDC technology. His work addresses challenges in oscillation modeling, synchronization stability, and multi-mode oscillation control critical for large-scale renewable integration . He also explores distributed damping control strategies to enhance grid resilience, especially in the presence of multiple HVDC systems. His projects extend to equivalent coupled oscillator modeling and cooperative control methods for renewable-rich grids. This research supports the development of more reliable, flexible, and efficient power systems worldwide. Dr. Wang’s interdisciplinary approach bridges theoretical analysis, advanced simulation, and real-world grid applications, contributing to global advancements in clean energy transition and smart grid technology.
Award and Honor
Dr. Weiyu Wang has earned notable recognition for his contributions to electrical power engineering. He was honored as an Outstanding Reviewer for the prestigious IEEE Transactions on Power Systems, reflecting his expertise and dedication to advancing scholarly research. His academic achievements are supported by competitive research grants, including the National Natural Science Foundation of China and the Hunan Provincial Natural Science Foundation. He has also played leading roles in consultancy projects with State Grid companies, addressing critical industry challenges in power system stability, energy efficiency, and operational optimization. Beyond research, Dr. Wang’s growing citation record and international collaboration experience underscore his influence in the global academic community. His rapid promotion to Associate Professor in just four years further reflects his excellence in research, teaching, and engineering innovation.
Research Skill
Dr. Weiyu Wang research skillset covers stability analysis, advanced modeling, and intelligent control for modern power systems. He is proficient in multi-mode oscillation detection, hierarchical cooperative damping control, and synchronization stability assessment for renewable-integrated grids. His expertise extends to multi-terminal HVDC systems, including oscillation characteristic analysis and distributed damping strategy design. He is skilled in equivalent coupled oscillator modeling, enabling accurate simulation of complex grid behaviors. In industry-focused work, Dr. Wang applies energy efficiency evaluation and operational optimization under carbon trading mechanisms, as well as fire risk assessment for transmission infrastructure. His technical capabilities are strengthened by hands-on experience with simulation platforms (MATLAB/Simulink, PSCAD) and real-world grid data analysis. His research blends theoretical rigor, computational modeling, and engineering practicality, making him an asset to both academia and the power industry.
Publication Top Notes
Title: Adaptive droop control of VSC-MTDC system for frequency support and power sharing
Authors: W. Wang, Y. Li, Y. Cao, U. Häger, C. Rehtanz
Journal: IEEE Transactions on Power Systems, 33(2), 1264-1274
Year: 2017
Cited by: 226
Title: A virtual synchronous generator control strategy for VSC-MTDC systems
Authors: Y. Cao, W. Wang, Y. Li, Y. Tan, C. Chen, L. He, U. Häger, C. Rehtanz
Journal: IEEE Transactions on Energy Conversion, 33(2), 750-761
Year: 2017
Cited by: 209
Title: A parameter alternating VSG controller of VSC-MTDC systems for low frequency oscillation damping
Authors: W. Wang, L. Jiang, Y. Cao, Y. Li
Journal: IEEE Transactions on Power Systems, 35(6), 4609-4621
Year: 2020
Cited by: 120
Title: A flexible power control strategy for hybrid AC/DC zones of shipboard power system with distributed energy storages
Authors: L. He, Y. Li, Z. Shuai, J.M. Guerrero, Y. Cao, M. Wen, W. Wang, J. Shi
Journal: IEEE Transactions on Industrial Informatics, 14(12), 5496-5508
Year: 2018
Cited by: 81
Title: A distributed cooperative control based on consensus protocol for VSC-MTDC systems
Authors: W. Wang, X. Yin, Y. Cao, L. Jiang, Y. Li
Journal: IEEE Transactions on Power Systems, 36(4), 2877-2890
Year: 2021
Cited by: 37
Title: A perturbation observer-based fast frequency support for low-inertia power grids through VSC-HVDC systems
Authors: W. Wang, Y. Cao, L. Jiang, C. Chen, Y. Li, S. Li, X. Shi
Journal: IEEE Transactions on Power Systems, 39(2), 2461-2474
Year: 2023
Cited by: 19
Title: Interaction between grid-forming converters with AC grids and damping improvement based on loop shaping
Authors: W. Wang, X. Shi, G. Wu, Y. Cao
Journal: IEEE Transactions on Power Systems, 39(1), 1905-1917
Year: 2023
Cited by: 18
Title: Perturbation observer-based nonlinear control of VSC-MTDC systems
Authors: W. Wang, X. Yin, L. Jiang, Y. Cao, Y. Li
Journal: International Journal of Electrical Power & Energy Systems, 134, 107387
Year: 2022
Cited by: 17
Title: Latin hypercube sampling method for location selection of multi-infeed HVDC system terminal
Authors: X. Li, Y. Li, L. Liu, W. Wang, Y. Li, Y. Cao
Journal: Energies, 13(7), 1646
Year: 2020
Cited by: 12
Title: Inertia estimation of power grid with VSC-MTDC system
Authors: L. Hu, Y. Li, W. Wang, Y. Tan, Y. Cao, K.Y. Lee
Journal: IFAC-PapersOnLine, 51(28), 197-202
Year: 2018
Cited by: 12
Title: Virtual synchronous generator strategy for VSC-MTDC and the probabilistic small signal stability analysis
Authors: W. Weiyu, L. Fang, T. Yi, H. Jinhua, T. Shengwei, L. Yong, C. Yijia
Journal: IFAC-PapersOnLine, 50(1), 5424-5429
Year: 2017
Cited by: 8
Title: Adaptive droop control strategy participating in power grid frequency regulation for VSC-MTDC transmission system
Authors: W.Y. Wang, Y. Li, Y.J. Cao, Z.W. Xu, Y. Tan
Journal: Automation of Electric Power Systems, 41(13), 142-149
Year: 2017
Cited by: 8
Title: Optimal configuration of distributed energy storage considering intending island recovery in faulty distribution networks
Authors: C. Chen, L. Hong, Y. Chen, Q. Tan, L. Li, W. Wang
Journal: International Journal of Electrical Power & Energy Systems, 158, 109982
Year: 2024
Cited by: 7
Title: Flexible voltage control strategy of DC distribution network considering distributed energy storage [J]
Authors: L. He, Y. Li, Y.J. Cao, W. Wang
Journal: Transactions of China Electrotechnical Society, 32(10), 101-110
Year: 2017
Cited by: 6
Title: Modeling and assessing load redistribution attacks considering cyber vulnerabilities in power systems
Authors: X. Shi, H. Guo, W. Wang, B. Yin, Y. Cao
Journal: Frontiers in Energy Research, 11, 1242047
Year: 2023
Cited by: 3
Title: Perturbation estimation based nonlinear adaptive control of VSC flexible excitation system
Authors: N. Yang, Q. Zeng, X. Yin, W. Wang, P. Zeng, L. Jiang
Journal: IET Generation, Transmission & Distribution, 16(13), 2600-2611
Year: 2022
Cited by: 3
Title: 基于虚拟调速器的多端直流虚拟同步机控制策略
Authors: 王炜宇, 李勇, 曹一家, 李欣然
Journal: 中国电机工程学报, 38(12), 3461-3470
Year: 2018
Cited by: 3
Title: Intending island service restoration method with topology-powered directional traversal considering the uncertainty of distributed generations
Authors: C. Chen, Y. Wu, Y. Cao, S. Liu, Q. Tan, W. Wang
Journal: Frontiers in Energy Research, 9, 762491
Year: 2021
Cited by: 2
Conclusion