collaborators

6 papers

eess.SY2026

Artificial Intelligence for Power-Converter-Rich Electrical Systems: A Review

Pengfeng Lin, Yuan Gao, Yuxi Tang +8

Power-converter-rich electrical systems, formed by renewable generation, electrified transportation, and inverter-based resources, exhibit strongly nonlinear dynamics, multi-physic…

eess.SY2026

Collaborative Optimization Framework of Battery Charging / Swapping Stations for eVTOLs Based on Closed-Loop Supply Chain and Space-Time Network

Pengfeng Lin, Miao Zhu, Jiahui Sun +4

Electric vertical take-off and landing (eVTOL) aircraft, by virtue of their advantages such as high efficiency, environmental friendliness, and low noise, are regarded as an effect…

eess.SY2026

Coordinated Optimal Power Quality Management in Distribution Systems Using The Residual Capacity of Community IBRs

Tiantian Ji, Pengfeng Lin, Miao Zhu +3

This letter proposes a network-wide coordinated optimization model to mitigate voltage unbalance (VU) by unleashing the remaining capacity of community inverter-based resources (IB…

eess.SY2026

Full-Time-Scale Power Management Strategy for Hybrid AC/DC/DS Microgrid with Dynamic Concatenation and Autonomous Frequency / Voltage Restorations

Qingzuo Meng, Pengfeng Lin, Yujie Wang +4

Hybrid AC/DC microgrids with distributed energy storage (DS) improve power reliability in remote areas. Existing power management methods either focus on steady-state power sharing…

eess.SY2026

Transient Power Allocation Control Scheme for Hybrid Hydrogen Electrolyzer-Supercapacitor System with Autonomous Inertia Response

Pengfeng Lin, Guangjie Gao, Jianjun Ma +3

This paper proposes a hybrid hydrogen electrolyzer-supercapacitor system (HESS) with a novel control strategy for renewable-dominant power grids. The HESS consists of alkaline elec…

eess.SY2025

GenControl: Generative AI-Driven Autonomous Design of Control Algorithms

Chenggang Cui, Jiaming Liu, Peifeng Hui +2

Designing controllers for complex industrial electronic systems is challenging due to nonlinearities and parameter uncertainties, and traditional methods are often slow and costly.…