Smart Operation and Maintenance Team for Clean Energy Equipment (Category A) 清洁能源设备智慧运维团队

Smart Operation and Maintenance Team for Clean Energy Equipment

The team focuses on research in intelligent operation and maintenance (O&M) of clean energy systems and related high-end equipment. The team currently has 6 full-time faculty members, including 1 professor, 2 associate professors, and 3 lecturers, all holding PhD degrees. In recent years, the team has led more than 10 vertical projects, including National Natural Science Foundation of China, youth projects, Henan Provincial Natural Science Foundation, and provincial technology research projects. Additionally, the team has hosted or participated in over 10 commissioned research projects from large state-owned enterprises and institutions, such as Hydropower Corporation, China Electronics Technology Group Corporation, provincial power companies, and XJ Group. In the past five years, the team has published more than 40 papers, including over 30 papers indexed by SCI/EI and 3 ESI highly cited papers, and has been granted over 10 patents for inventions.

The main research directions of the team include:

1. Intelligent Maintenance of Clean Energy Equipment

Research focuses on performance evaluation, fault diagnosis, condition-based maintenance, and intelligent control for hydropower units (including pumped storage units) in high-proportion new energy power systems. The team also conducts operational status analysis and condition-based maintenance for wind turbines, as well as energy storage and lithium battery management for electric vehicles, including estimation of State of Charge (SOC), State of Health (SOH), Remaining Useful Life (RUL) prediction, and second-life utilization. Other areas of interest include online monitoring and O&M of power equipment such as GIS/GIL, reactors, and transformers.

2. Intelligent Fault Diagnosis and Health Management of High-End Equipment

The team focuses on high-end equipment such as aviation engines, CNC machine tools, industrial robots, and power grid equipment, exploring multi-dimensional information intelligent sensing and fusion, fault feature construction, fault prediction, and health management under variable working conditions, small sample sizes, and high uncertainty.

3. Planning and Operation of New Power Systems

Research involves the efficient use of green hydrogen production and its integration into comprehensive energy systems, the optimization of electricity-carbon joint markets, energy management and dispatch strategies for microgrids, high-proportion renewable energy system planning, coordinated operation and control of power systems, and theories of power markets and new power systems.

4. Application of Artificial Intelligence in Smart Energy

The team explores applications of AI in smart energy, including big data analysis and value mining in power systems, intelligent optimization of operation for water-wind-solar-storage systems, uncertainty quantification and prediction of renewable energy output, and methods for deep learning network combination models.

Team Members