Dr. Min Xie | Energy System | Best Researcher Award

Dr. Min Xie | Energy System | Best Researcher Award 

Dr. Min Xie, South China University of Technology, China

Dr. Min Xie is an Associate Professor in the Electrical Power College at South China University of Technology and a member of both the China Energy Association and IEEE. She received her Ph.D. in Electrical Engineering from Huazhong University of Science and Technology in 2006 and holds a B.S. in Electrical Engineering from Zhongnan Institute of Technology. She previously served as a research assistant at the Hong Kong University and the Tsinghua-HK National Key Laboratory of Power System. Dr. Xie’s research focuses on low-carbon economy optimization, market decision-making in modern power systems, integrated energy system modeling, and demand response mechanisms for offshore wind power integration. She has led numerous research projects, including one funded by the National Natural Science Foundation of China and several from the Guangdong Provincial Natural Science Foundation, along with over 20 industry-sponsored projects. Dr. Xie has authored more than 40 high-impact academic papers, published two monographs, and holds over 15 national invention patents as the first inventor. Her work has been recognized with multiple honors, including the 2022 “Top 5000 – Top Academic Paper Award of China’s Excellent Science and Technology Journals” and the Second Prize of the 2023 China Electricity Council Electric Power Science and Technology Innovation Award.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award – Dr. Min Xie

Dr. Min Xie, Associate Professor at the South China University of Technology, is a distinguished researcher in electrical engineering with a specialized focus on low-carbon power systems, integrated energy system optimization, and market-based mechanisms for renewable energy integration. Her academic record, research leadership, and innovation place her as a highly deserving candidate for the Best Researcher Award.

🎓 Education

  • 📚 B.S. in Electrical Engineering – Zhongnan Institute of Technology, Hengyang, Hunan, China (1996–2000)

  • 🎓 Ph.D. in Electrical Engineering – Huazhong University of Science & Technology, Wuhan, Hubei, China (2000–2006)

💼 Work Experience

  • 🧑‍🏫 Associate Professor – Electrical Power College, South China University of Technology (2006–Present)

  • 👩‍🎓 Adjunct Professor – Electrical Power College, South China University of Technology (2010–Present)

  • 🔬 Research Assistant – Hong Kong University & Tsinghua-HK National Key Laboratory of Power Systems (2004–2005)

🧠 Research Interests & Achievements

  • 🌱 Low-carbon economy optimization and market decision-making in new power systems

  • 🔄 Modeling and optimization of integrated energy systems

  • Demand response technologies and market mechanisms for offshore wind power utilization

  • 📊 Principal Investigator for:

    • 1️⃣ National Natural Science Foundation of China project

    • 4️⃣ Guangdong Province Natural Science Foundation projects

    • 2️⃣0️⃣+ enterprise-sponsored horizontal research projects

  • 📚 Publications: Over 40 high-level academic papers and 2 monographs

  • 🧾 Patents: Over 15 national invention patents (as first inventor)

🏆 Awards & Honors

  • 🥇 Top 5000 – Top Academic Paper Award, China’s Excellent Science and Technology Journals (2022)

  • 🥈 Second Prize, 2023 China Electricity Council Electric Power Science and Technology Innovation Award

Publication Top Notes:

Morphology regulation of carbon electrode materials via homologous magnesium-based templates for symmetrical and hybrid capacitors

A heuristic decomposition algorithm to optimally configure superconducting fault current limiters in Large-Scale power systems

Multi-Objective Active Distribution Network Optimization Reconfiguration Considering Soft Open Point and Demand Response

A review on multi-scale structure engineering of carbon-based electrode materials towards dense energy storage for supercapacitors

Calculation Method and Market Mechanism of Grid-Sourced Green Electricity Consumption for Zero-Carbon Electricity Consumers

Short-term load forecasting method based on fuzzy optimization combined model of load feature recognition

Calculation Method of Dispatchable Potential of Bus-specific Charging Stations and Its Application in the Spot Market

K-Nearest Neighbor Algorithm Applied to Accelerate Security Constrained Unit Commitment Problem