Dr Yuhua Tan ,University of Shanghai for Science and Technology, China
Dr Yuhua Tan is a Lecturer at the University of Shanghai for Science and Technology, specializing in electrical engineering. She earned her Ph.D. from Shanghai Jiao Tong University in 2020. Her research focuses on optimizing and controlling power systems, integrated energy systems, and renewable energy technologies. Yuhua Tan has authored numerous papers and holds several patents in areas such as hydrogen systems and wind power generation. She actively collaborates with institutions like Anhui Polytechnic University and State Grid Gansu Electric Power Company. Tan is dedicated to advancing sustainable energy solutions through her innovative research and academic contributions.
Publication Profile
Scopus
Education
Dr Yuhua Tan received her Ph.D. in electrical engineering from Shanghai Jiao Tong University, Shanghai, China, in 2020. Her doctoral research focused on renewable energy integration and optimization in power systems. Prior to her Ph.D., she completed her undergraduate and master’s studies in electrical engineering, laying the foundation for her subsequent research and academic career.
Experience
Dr Yuhua Tan is currently a Lecturer at the University of Shanghai for Science and Technology, where she teaches and conducts research in the Department of Electrical Engineering. Her professional journey includes significant contributions to the field of electric power systems and renewable energy technology. Tan has actively participated in research projects funded by institutions such as the State Grid Gansu Electric Power Company and Anhui Polytechnic University’s Energy Internet Engineering Research Center. Her consultancy and industry projects demonstrate her practical expertise in energy system optimization and renewable energy integration.
Research focus
Dr Yuhua Tan’s research focuses on optimizing and controlling power systems, integrated energy systems, and renewable energy technologies. Her work explores innovative approaches to enhancing the efficiency and sustainability of energy systems through advanced modeling, optimization algorithms, and integration techniques. Tan’s research contributions include developing models for hydrogen systems, optimizing renewable energy utilization, and addressing challenges in wind power generation. She collaborates with industry and academic partners to innovate solutions that promote the transition to clean and sustainable energy sources, addressing global energy challenges in the 21st century.
Publication Top Notes
“Global optimization and quantitative assessment of large-scale renewables-based hydrogen system considering various transportation modes and multi-Field hydrogen loads” 🌍
“Sensorless control with adaptive speed observer using power winding information for dual-stator winding induction starter/generator” 🔄
“A novel short-term wind power scenario generation method combining multiple algorithms for data-missing wind farm considering spatial-temporal correlativity” 🌬️
“Linear active disturbance rejection control for dual-stator winding induction generator AC power system” 🔧
“A new modeling and solution method for optimal energy flow in electricity-gas integrated energy system” ⚡