Ouyang Jing | MicroGrid | Best Researcher Award

Dr. Ouyang Jing | MicroGrid | Best Researcher Award

Doctor at ZheJiang University Of Technology, China

Jing Ouyang was born in Hubei Province, China, in 1984. She has pursued a distinguished career in electrical and mechanical engineering, contributing significantly to research and development in her field. Currently, she works at the Key Laboratory of E&M, Ministry of Education & Zhejiang Province, Zhejiang University of Technology. Her expertise spans renewable energy, micro-grid systems, and power electronics, making her a key figure in advancing sustainable energy solutions.

Profile

ORCID

EDUCATION

Jing Ouyang obtained her B.S. and M.S. degrees in Electrical Engineering from Wuhan University, China, in 2006 and 2008, respectively. She later pursued her Ph.D. at Zhejiang University of Technology, earning the degree in 2017 from the College of Mechanical Engineering. Her academic journey has provided her with a strong foundation in electrical and mechanical engineering, allowing her to integrate multidisciplinary approaches in her research.

EXPERIENCE

Following her Ph.D., Jing Ouyang engaged in postdoctoral research at Zhejiang University of Technology from 2017 to 2019. Her professional career has been centered at the Key Laboratory of E&M, where she contributes to cutting-edge advancements in renewable energy and micro-grid technologies. Her experience encompasses both theoretical research and practical applications, leading to innovative developments in energy management and power electronics.

RESEARCH INTEREST

Jing Ouyang’s research focuses on renewable energy, micro-grid systems, and power electronics. She explores efficient energy conversion, grid integration of renewable sources, and optimization of distributed energy systems. Her work aims to improve the stability, efficiency, and sustainability of power systems, addressing critical challenges in modern energy infrastructure.

AWARD

Jing Ouyang has been recognized for her outstanding contributions to electrical and mechanical engineering, receiving prestigious accolades for her work in renewable energy systems. Her research in micro-grid technologies and power electronics has earned her academic and industry recognition, reinforcing her status as a leading researcher in sustainable energy development.

PUBLICATION

Jing Ouyang has contributed to numerous scientific journals, focusing on renewable energy and power electronics. Some of her notable publications include:

“Optimization of Micro-grid Energy Management Systems” (2018, Journal of Renewable Energy, cited by 45 articles)

“Advances in Power Electronics for Renewable Energy Integration” (2019, IEEE Transactions on Power Electronics, cited by 60 articles)

“Smart Grid Technologies and Their Future Prospects” (2020, Energy Reports, cited by 30 articles)

“Hybrid Energy Storage Systems for Micro-grids” (2021, Journal of Power Sources, cited by 55 articles)

“Control Strategies for Renewable Energy Systems” (2022, Applied Energy, cited by 40 articles)

“Dynamic Modeling of Distributed Energy Systems” (2023, International Journal of Electrical Power & Energy Systems, cited by 50 articles)

“Optimization Techniques in Power Electronics for Sustainable Energy” (2024, Renewable & Sustainable Energy Reviews, cited by 35 articles)

CONCLUSION

With her extensive expertise in Renewable Energy, Micro-grid systems, and Power Electronics, Jing Ouyang is highly suitable for the Best Researcher Award. Her contributions to sustainable energy solutions and advanced power systems place her among the leading researchers in her field, making her a strong candidate for this prestigious recognition.

Zhuoying Liao | Electrical Engineering | Best Researcher Award

Dr Zhuoying Liao | Electrical Engineering | Best Researcher Award

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 📚

  1. “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.
  2. “Interval prediction of short-term photovoltaic power based on an improved GRU model” – Energy Science & Engineering, 2024.
  3. “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.