A5037481642- Microgrid Control and Optimization
- Optimal Power Flow Distribution
- Islanding Detection in Power Systems
- Advanced Battery Technologies Research
- Caching and Content Delivery
- Power Systems and Renewable Energy
- HVDC Systems and Fault Protection
- Smart Grid Energy Management
- Smart Grid Security and Resilience
Hunan University
2022-2024
To improve the resilience of distribution networks (DNs) in event extreme natural disasters such as typhoons and rainstorms, it is imperative to efficiently implement service restoration (DSR) restore loads soon possible. In previous studies, DSR has mainly adopted distributed resource model with droop or PQ control. This inhibits exploitation potential generators (DGs) load when DN loses support from upstream transmission network. Thus, this paper proposes a multi-resource collaborative...
Assessment of node importance is essential for the reliable operation microgrids. The absence key nodes voltage support during deviation may significantly escalate severity an incident. Distributed generators in microgrids are highly susceptible to going off-grid disturbances and more likely experience failure. This study proposes a capability assessment method distributed generators, which integrates electrical characteristics with structural features graph theory, enabling accurate...
Modular multilevel converter battery energy storage systems (MMC-BESSs) have become an important device for the of grid-connected microgrids. The efficiency power transmission MMC-BESSs has a new research hotspot. This paper outlines multi-stage charging method to minimize consumption and maximize capacity MMC-BESSs. Firstly, based on condition monitoring data collection, functional relationship between internal resistance/capacity other states lithium batteries is established. Since related...
Abstract The shedding of critical distributed energy resources during faults in an islanded microgrid may induce widespread voltage drops, potentially triggering a cascade reactions leading to the collapse entire system. Accurately identifying nodes is key technology improve resilience microgrids. However, multi‐source coupling and uncertainty fault‐induced sag can diminish accuracy node importance identification. To address this, this paper proposes adaptive identification method designed...