PhD Student at University of Science and Technology of China, China
Liao Zhuoying is a dedicated researcher in the field of Electrical Engineering, currently pursuing a PhD at the University of Science and Technology of China. His primary research focuses on the safety and optimization of grid-forming large-scale hybrid energy storage stations. With extensive experience in energy systems, fault diagnosis, and power system engineering, he aims to contribute to the advancement of sustainable energy solutions. His academic and professional journey spans prestigious institutions, emphasizing his commitment to innovation and technological development in modern power networks.
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Education
Liao Zhuoying has pursued a robust academic trajectory in Electrical Engineering and Power Systems. He completed his Bachelor of Science in Electrical Engineering and Automation at North China Electric Power University (2016-2018). Furthering his studies, he obtained a Master of Science in Electronics and Electrical Engineering from the University of Edinburgh (2018-2020) and later specialized in Power System Engineering at University College London (2020-2022). Currently, he is undertaking his PhD in Energy and Power at the University of Science and Technology of China (2022-present), where he is focusing on hybrid energy storage systems and grid stability.
Experience
Liao Zhuoying has garnered significant research experience as a Research Assistant at the Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, since September 2022. His work primarily revolves around investigating the safety of grid-forming hybrid energy storage stations, assessing grid stability through modeling and simulations, and conducting fault diagnoses to mitigate risks associated with energy storage system failures. His expertise spans grid optimization, energy system modeling, and microgrid sustainability, making him a valuable contributor to the field.
Research Interests
Liao Zhuoying’s research interests center on grid-forming hybrid energy storage systems, power network stability, and sustainable energy solutions. His work involves developing models and simulations to evaluate the impact of energy storage on grid reliability, optimizing microgrid systems, and exploring transformer waste heat utilization. His research aims to enhance the resilience and efficiency of power systems, supporting the global transition towards renewable and sustainable energy infrastructure.
Awards
Liao Zhuoying has been recognized for his contributions to electrical engineering and power systems through various accolades. His innovative approach to hybrid energy storage and grid optimization has earned him recognition within the research community. His ongoing work continues to gain appreciation from academic and industrial circles, further establishing his reputation as an emerging expert in his field.
Publications
Liao Z., T. Wang, J. Wang, J. Zhang, T. Tian, J. Shu (2025) – “Shared hybrid energy storage system optimal configuration in multi-energy microgrid system considering the transformer waste heat utilization: A tri-layer programming approach.” Journal of Energy Storage, Vol. 115, p. 115501.
Jing Zhang, Liao Zhuoying, Shu Jie, et al. (2024) – “Interval prediction of short-term photovoltaic power based on an improved GRU model.” Energy Science & Engineering, 12(7):3142-3156.
Zhang Hanfu, Liao Zhuoying, Tian Tian, et al. (2024) – “Optimization of Microgrid Hybrid Energy Storage System Operation Based on tGRIME Algorithm.” 2024 IEEE 2nd International Conference on Power Science & Technology (ICPST), pp. 1360-1365.
Conclusion
LIAO Zhuoying is a visionary researcher whose contributions have enhanced energy storage efficiency, grid stability, and power system resilience. His academic excellence, pioneering research, and commitment to sustainable energy solutions make him an outstanding candidate for the Best Researcher Award.