Qian Chen

ORCID: 0009-0005-1375-0876
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About
Contact & Profiles
Research Areas
  • Advanced DC-DC Converters
  • Neutrino Physics Research
  • Astrophysics and Cosmic Phenomena
  • Multilevel Inverters and Converters
  • Particle Detector Development and Performance
  • Microgrid Control and Optimization
  • Particle physics theoretical and experimental studies

Shandong University
2014-2025

The triple-active-bridge (TAB) converter, renowned for its flexible power flow paths, high density, and diverse voltage levels, has garnered widespread attention in the microgrid. However, port coupling of TAB converter leads to a slow dynamic response fluctuations at different ports. Continuous control set model predictive (CCS-MPC) achieves decoupling while ensuring excellent performance compared traditional proportional-integral (PI) control. Nonetheless, CCS-MPC faces challenges solving...

10.1049/icp.2024.2397 article EN IET conference proceedings. 2025-01-01

Noise can have a negative impact on the performance of DC-DC converters with continuous control set model predictive (CCS-MPC). This issue is commonly encountered, making it difficult to effectively apply CCS-MPC in converters. In this letter, we present noise tolerance method for that utilizes virtual capacitor. offers simple and effective solution address aforementioned problem while enhancing system robustness. To illustrate, examine generation mechanism establish using dual-activebridge...

10.1109/tpel.2024.3392260 article EN IEEE Transactions on Power Electronics 2024-04-22

The disappearance of reactor $\bar{\nu}_e$ observed by the Daya Bay experiment is examined in framework a model which neutrino described wave packet with relative intrinsic momentum dispersion $\sigma_\text{rel}$. Three pairs nuclear reactors and eight antineutrino detectors, each good energy resolution, distributed among three experimental halls, supply high-statistics sample acquired at nine different baselines. This provides unique platform to test effects arise from treatment...

10.48550/arxiv.1608.01661 preprint EN other-oa arXiv (Cornell University) 2016-01-01
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