Dan li | Smart Energy System | Research Excellence Award

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Dr. Dan li | Smart Energy System | Research Excellence Award

Dr. Dan li | China Three Gorges University | China

Dr. Dan Li is an accomplished researcher in intelligent energy systems, with a strong focus on optimal scheduling, risk measurement, and intelligent decision-making for multi-energy systems operating under a high proportion of renewable energy. His work addresses the increasing complexity and uncertainty of modern power grids by developing advanced computational approaches that integrate artificial intelligence with domain-specific physical principles. Through three significant completed and ongoing research projects, he has contributed to flexible resource regulation and control technology for new-energy pumped storage power stations, the development and application of key technologies for grid-connected performance testing and analysis of renewable energy stations, and the functional debugging and data-processing framework for intelligent network-source coordinated control and risk early-warning decision-making platforms. His key scientific contribution lies in accurately defining the physical constraints, operational limits, and security boundaries of unit commitment and economic dispatch problems, and translating these elements into optimization objectives and state spaces suitable for advanced algorithms. Dr. Li introduced a physics-informed exploration strategy for deep reinforcement learning by embedding prior knowledge, including power-flow equations and unit ramp-rate constraints, directly into the reward design, reducing invalid exploration and improving algorithmic convergence by over 50 percent. This approach demonstrates a powerful integration of domain expertise and advanced computational tools, contributing significantly to enhancing the reliability, efficiency, and intelligence of next-generation power systems. His published research, including his recent article on optimization solutions for power generation planning, reflects strong scientific rigor and technological relevance, reinforcing his position as a promising contributor to the advancement of intelligent and sustainable energy systems.

Profile: ORCID

Featured Publications

Li, D., Zhang, L., Mi, N., & Zhong, H. (2025). Optimization solution for unit power generation plan based on the integration of constraint identification and deep reinforcement learning. Processes.

 

Prof. XueQin Zhang | High Voltage Engineering | Best Researcher Award

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Prof. XueQin Zhang | High Voltage Engineering | Best Researcher Award

Associate Professor at Southwest Jiaotong University, China

Prof. XueQin Zhang is an Associate Professor and Ph.D. Supervisor at the School of Electrical Engineering, Southwest Jiaotong University. She is a recognized provincial-level talent in Sichuan and leads the “Line Safety and Protection in Complex Environments” direction within China’s National Key Innovation Team for Traction Power Supply Safety in Rail Transit. Her research specializes in high voltage technology, focusing on discharge mechanisms and detection techniques for external insulation in complex environments. Prof. Zhang has published 60 SCI/EI-indexed papers, co-authored the 3rd edition of High Voltage Technology, and holds 6 national patents. She has served as the principal investigator or key contributor to 15 national and provincial-level projects, including 7 funded by the National Natural Science Foundation of China. A member of IEEE and CIGRE, she has contributed to 2 IEEE standards and delivered keynote speeches at major international conferences. Her work has earned her multiple awards, highlighting her significant contributions to electrical engineering research.

Publication Profile

Scopus

Orcid

Academic and Professional Background

Prof. XueQin Zhang is an accomplished Associate Professor and Ph.D. Supervisor at the School of Electrical Engineering, Southwest Jiaotong University. Renowned for her expertise in high voltage technology, she is recognized as a provincial-level talent in Sichuan Province and plays a leading role in national scientific initiatives. Specifically, she heads the “Line Safety and Protection in Complex Environments” research direction under the National Key Innovation Team for Traction Power Supply Safety in Rail Transit. Her research primarily investigates the discharge mechanisms and the development of key detection technologies related to external insulation performance in complex and challenging environmental conditions. With a commitment to advancing rail transit safety and electrical engineering standards in China, she contributes both academically and practically to the field. Through her leadership and innovation, Prof. Zhang continues to drive impactful research that enhances the reliability and safety of power systems in critical infrastructure settings

Research Focus

Prof. XueQin Zhang’s research primarily focuses on high voltage engineering and power system insulation performance, with a strong emphasis on safety and reliability in electrified railway systems. Her work spans several cutting-edge areas, including electrothermal ice-melting techniques, aging evaluation of composite insulators using hyperspectral imaging, and insulation performance under extreme environmental conditions such as rain, pollution, and high altitudes. She integrates advanced modeling techniques like IDBO-BiGRU and IPCA-SVM into electrical diagnostics, showcasing her expertise in artificial intelligence applications in power systems. Prof. Zhang also explores the interaction of electric fields, thermal stress, and environmental factors, aiming to enhance operational efficiency and safety in high-speed rail infrastructure. Her research on flashover characteristics, neutral current analysis, and insulation aging prediction reflects a holistic approach to railway electrical safety. Overall, her work contributes significantly to smart grid resilience, traction power supply protection, and insulation technology—making her a vital contributor to modern railway electrification and high-voltage engineering. ⚡

Publication Top Notes

  • Electrical-thermal conduction and distribution characteristics of the catenary system for electrified railway applying electrothermal ice-melting technique – Applied Thermal Engineering, 2025⚡

  • Evaluation of the hygrothermal aging state of composite insulators based on hyperspectral imaging technology and the IDBO-BiGRU model – Measurement, 2025

  • Contribution analysis of neutral current for the substations invaded by stray current from multiple metro lines – International Journal of Electrical Power and Energy Systems, 2025 🚇🔌

  • A novel pixel-level aging status evaluation method on on-site post insulators – Advanced Engineering Informatics, 2025

  • Lifetime prediction and aging characteristics of silicone rubber under synergistic heat-moisture interaction – Engineering Failure Analysis, 2025

  • A pixel-level assessment method of the aging status of silicone rubber insulators based on hyperspectral imaging technology and IPCA-SVM model – Expert Systems with Applications, 2025 | 📄 Citations: 1 🤖📊

  • Ice Melting Mechanism and Key Technologies for High-speed Railway Contact Networks: a Systematic Review – Systematic Review, 2025

  • Flashover Characteristics of Roof Insulator on High-Speed Trains Under Heavy Rain Conditions – IEEE Transactions on Dielectrics and Electrical Insulation, 2025

  • A Cooperative Optimization Method of Electric Field-Flow Field for Roof Insulators of High-Speed Trains – IEEE Transactions on Transportation Electrification, 2025

  • AC Pollution Flashover Characteristics and Altitude Correction of Train Roof Insulators at High Altitude – IEEE Transactions on Dielectrics and Electrical Insulation, 2025