Doctoral Student, School of Energy Science and Engineering, University of Science and Technology of China
Liao Zhuoying is a dedicated PhD candidate in Electrical Engineering at the University of Science and Technology of China, specializing in grid-forming large-scale hybrid energy storage systems. With a strong academic background from North China Electric Power University, the University of Edinburgh, and University College London, Liao has developed expertise in electrical engineering, power systems, and energy storage technologies. Currently, as a Research Assistant at the Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences, Liao focuses on enhancing grid stability and reliability through advanced modeling, simulation, and fault diagnosis of energy storage systems. Passionate about sustainable energy solutions, Liao aims to contribute to the development of efficient and resilient power networks. Fluent in English, Mandarin, and Cantonese, Liao is an active researcher with several publications in prestigious journals and conferences.
Professional profile
Scopus
Education 🎓
- PhD in Energy and Power (2022–Present)
University of Science and Technology of China, China
Specialization: Grid-forming hybrid energy storage systems.
- Master of Science in Power System Engineering (2020–2022)
University College London, UK
Focus: Advanced power systems and renewable energy integration.
- Bachelor of Science in Electronics and Electrical Engineering (2018–2020)
University of Edinburgh, UK
Key areas: Electrical circuits, automation, and energy systems.
- Bachelor of Science in Electrical Engineering and Automation (2016–2018)
North China Electric Power University, China
Core studies: Power systems, control systems, and energy storage technologies.
Liao’s multidisciplinary education has equipped them with a strong foundation in electrical engineering and a deep understanding of modern energy systems.
Experience 💼
- Research Assistant (2022–Present)
Guangzhou Institute of Energy Conversion, Chinese Academy of Sciences
- Investigated the safety and stability of grid-forming hybrid energy storage systems.
- Developed models and simulations to assess grid reliability and energy storage impacts.
- Conducted fault diagnosis to mitigate risks associated with energy storage failures.
- Academic Projects (2018–2022)
- Collaborated on research projects during MSc and BSc programs, focusing on renewable energy integration and power system optimization.
- Gained hands-on experience in modeling, simulation, and data analysis.
Liao’s research experience demonstrates a strong commitment to advancing sustainable energy solutions and improving grid resilience.
Awards and Honors 🏆
- Outstanding Research Contribution Award (2024)
Recognized for innovative work on hybrid energy storage systems at the Guangzhou Institute of Energy Conversion.
- Best Paper Award (2024)
Awarded at the IEEE International Conference on Power Science & Technology for research on microgrid hybrid energy storage optimization.
- Academic Excellence Scholarship (2018–2020)
University of Edinburgh, UK, for outstanding performance in Electrical Engineering.
- Dean’s List Honoree (2016–2018)
North China Electric Power University, China, for top academic achievements.
Liao’s accolades reflect their dedication to excellence in research and academia.
Research Focus 🔍
Liao Zhuoying’s research focuses on grid-forming large-scale hybrid energy storage systems, aiming to enhance grid stability and reliability. Key areas include:
- Modeling and Simulation: Developing advanced models to assess the impact of energy storage on power networks.
- Fault Diagnosis: Identifying and mitigating risks associated with energy storage system failures.
- Optimization: Designing optimal configurations for hybrid energy storage in multi-energy microgrids.
- Sustainability: Integrating renewable energy sources and improving energy efficiency.
Liao’s work contributes to the development of resilient and sustainable energy systems, addressing critical challenges in modern power networks.
Publication Top Notes 📚
- “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, 2025.
- “Interval prediction of short-term photovoltaic power based on an improved GRU model” – Energy Science & Engineering, 2024.
- “Optimization of Microgrid Hybrid Energy Storage System Operation Based on tGRIME Algorithm” – IEEE International Conference on Power Science & Technology, 2024.
Conclusion 🌟
Liao Zhuoying is a highly skilled and motivated researcher with a strong focus on advancing grid-forming hybrid energy storage systems. With a robust academic background, extensive research experience, and numerous accolades, Liao is committed to developing sustainable and efficient energy solutions. Their work not only addresses critical challenges in power systems but also paves the way for a more resilient and renewable energy future.