Assoc. Prof. Dr. PESCARU MARIA | Renewable Energy Power Generation | Best Researcher Award

Nanjing University of Science and Technology | Turkey

Jinhong Liu is a distinguished researcher and lecturer in the College of Automation at Nanjing University of Science and Technology, China, with a strong focus on electrical engineering and renewable energy systems. Born in Hunan Province, China, he earned his B.S. and Ph.D. degrees in electrical engineering from Chongqing University, demonstrating early excellence in both theoretical and applied aspects of his field. During his doctoral studies, he undertook joint training at the Norwegian University of Science and Technology, where he focused on modeling and control strategies for grid-connected renewable energy generation systems, gaining international research experience and contributing to advancements in sustainable power integration. His current research interests include digital control techniques, optimization of renewable energy generation systems, and the development of robust control strategies for grid stability in the context of increasing renewable penetration. Dr. Liu has contributed significantly to the understanding and practical application of control systems for modern energy networks, integrating theory, simulation, and experimental validation to enhance efficiency and reliability. His work bridges traditional electrical engineering with cutting-edge renewable energy solutions, emphasizing smart grid technologies, intelligent control algorithms, and sustainable power management. Recognized for both technical depth and practical innovation, he continues to publish high-impact research that advances the reliability, stability, and performance of renewable energy systems worldwide. Dr. Liu’s dedication to research, teaching, and international collaboration underscores his role as a leading contributor to the development of future energy systems and digital control methodologies.

Featured Publications:

Li, B., Zhou, L., Yu, X., Zheng, C., & Liu, J. Improved power decoupling control strategy based on virtual synchronous generator. IET Power Electronics, 10(4), 462–470.

Zhou, L., Yu, X., Li, B., Zheng, C., Liu, J., Liu, Q., & Guo, K. Damping inter-area oscillations with large-scale PV plant by modified multiple-model adaptive control strategy. IEEE Transactions on Sustainable Energy, 8(4), 1629–1636.

Liu, J., Zhou, L., Li, B., Zheng, C., & Xie, B. Modeling and analysis of a digitally controlled grid-connected large-scale centralized PV system. IEEE Transactions on Power Electronics, 33(5), 4000–4014.

Lei, J., Gong, Q., Liu, J., Qiao, H., & Wang, B. Optimal allocation of a VRB energy storage system for wind power applications considering the dynamic efficiency and life of VRB in active distribution networks. IET Renewable Power Generation, 13(4), 563–571.

Liu, J., Zhou, L., & Molinas, M. Damping region extension for digitally controlled LCL‐type grid‐connected inverter with capacitor‐current feedback. IET Power Electronics, 11(12), 1974–1982.

Zheng, C., Zhou, L., Yu, X., Li, B., & Liu, J. Online phase margin compensation strategy for a grid‐tied inverter to improve its robustness to grid impedance variation. IET Power Electronics, 9(4), 611–620.