Electrical engineering · Undergraduate
王子成 / Changsha, China
I study Electrical Engineering and Automation at Changsha University of Science and Technology. My research interests connect power-system modeling, control, and analysis with the possibilities of artificial intelligence.
01 / Research interests
A focus on renewable-rich power systems, with experience in impedance modeling and machine learning.
Modeling · Control · Analysis
As renewable generation grows, understanding the interactions between devices and the grid becomes increasingly important. I am interested in models and analysis methods that help explain these dynamics and support power-system control.
Related research experienceMachine learning · Domain knowledge
My previous work uses support vector machines to predict equivalent-circuit parameters across operating points. Building on this experience, I am interested in broader applications of AI to power-system modeling and analysis.
Read selected publicationsImpedance · Admittance · Model reduction
My research experience includes frequency-domain modeling of permanent-magnet synchronous generators (PMSGs), reduced equivalent circuits, and impedance participation factors for investigating oscillations and weakly damped components.
Explore the projects02 / Selected publications
Two first-author papers on predicting renewable-device behavior across operating conditions.
Technologies 14(6), 323
Combining reduced equivalent circuits with machine learning to predict PMSG admittance across operating points.
ACPEE 2026 IEEE
Representing impedance in circuit form under changing operating conditions. Presented orally in English at ACPEE in Macau.
Full publication details and additional outputs are included in the downloadable CV.
03 / Research experience
2025.01 — 2026.04Completed
Operating-point sampling and frequency-response generation for PMSGs; equivalent-circuit reduction and support-vector-machine prediction of circuit parameters.
2024.12 — 2026.04Completed
An undergraduate innovation project using frequency-domain fitting, reduced equivalent circuits, and impedance participation factors to investigate oscillation mechanisms and locate weakly damped components.
04 / Highlights
Selected milestones in research and mathematical modeling.
National First Prize in the 7th Huashu Cup National Undergraduate Mathematical Modeling Competition, as a team member.
National Second Prize in the CSEE Cup Mathematical Modeling Competition, as team leader, following a National First Prize in 2025.
Gave an English oral presentation on PMSG impedance prediction at ACPEE 2026 in Macau.
05 / A little about me
I began my undergraduate studies in Applied Statistics before moving into Electrical Engineering and Automation. That mathematical background continues to shape how I approach models, data, and engineering problems.
My working tools include MATLAB/Simulink, Python, and LaTeX. Beyond research, I enjoy cooking, hiking, cycling, and video editing, and take part in peer learning and volunteering.
06 / Get in touch
Interested in power systems, renewable energy, or AI? I welcome academic conversations and opportunities to learn.
202310080241@csust.edu.cn