On the afternoon of July 11, Qianjiang Electric's Postdoctoral Research Station convened a project review and assessment meeting, conducting centralized mid-term evaluations and completion reviews for ongoing postdoctoral projects. The meeting focused on assessing breakthroughs in core technologies for offshore wind power transformers, rigorously verifying research outcomes, and supporting the company's R&D of high-end equipment and technological innovation upgrades. The meeting was chaired by Postdoctoral Supervisor Liu Jun.
Two specialized expert panels were assembled for this review, comprising authoritative professionals including Professors Li Zongli and Wang Zhengzhong from Northwest A&F University; Postdoctoral Supervisor Liu Jun of Qianjiang Electric; Professor-level Senior Engineer Zhang Anhong; and Senior Engineers Wu Yiqing, Yu Guoqing, Weng Tianhai, and Zhu Weifeng, among other industry and corporate technical experts. The review was conducted in strict accordance with postdoctoral research management protocols.
During the meeting, Dr. Song Ying, who joined the station in June 2025, delivered a mid-term report on the project Research on Optimization Methods for Insulation Structures of High-Voltage DC Series Vegetable-Oil Medium-Frequency Transformers for Offshore Wind Farms. She completed phased core tasks including modeling of wind power grid-connected systems, comprehensive transformer design, and multi-field coupled simulation analysis, while constructing a dedicated simulation computing platform. These efforts effectively overcame multiple technical challenges and hold significant engineering application value for enhancing insulation design capabilities in offshore wind power transformers. Following comprehensive evaluation, the expert panel unanimously approved the project for mid-term passage, recommending that subsequent research deepen multi-objective optimization of insulation structures and develop a standardized engineering design platform to solidify the technical foundation for equipment type approval and mass production.
Concurrently, the meeting conducted a completion and exit assessment for Dr. Wang Song, who joined the station in June 2024, on his project Research on Winding Deformation Diagnosis Methods for High-Voltage DC Series Vegetable-Oil Medium-Frequency Transformers for Offshore Wind Farms. Leveraging simulation modeling and artificial intelligence algorithms, the project developed an intelligent winding deformation diagnosis and vector group identification solution, achieving major breakthroughs in small-sample data augmentation and intelligent recognition technologies, and successfully developing engineering-practical software. During his tenure, Dr. Wang Song produced fruitful results, publishing five papers in SCI, EI, and core journals, winning the First Prize for New Technology Development Achievements in the 2025 National Transformer Industry, and independently developing one set of specialized identification software. Having successfully completed all designated research tasks with all indicators meeting standards, the expert panel unanimously approved his successful completion and exit.
The research of these two projects demonstrates Qianjiang Electric's commitment to deep cultivation of the offshore wind power high-end equipment sector and its development philosophy of industry-university-research collaborative innovation. The Postdoctoral Research Station will continue to focus on cutting-edge industry technologies, tackle core technical barriers, empower corporate technological innovation with high-caliber talent, and drive the company's high-quality development.
