UM

Browse/Search Results:  1-10 of 28 Help

Selected(0)Clear Items/Page:    Sort:
Two-layer energy management strategy for grid-integrated multi-stack power-to-hydrogen station Journal article
Li, Jiarong, Yang, Bosen, Lin, Jin, Liu, Feng, Qiu, Yiwei, Xu, Yanhui, Qi, Ruomei, Song, Yonghua. Two-layer energy management strategy for grid-integrated multi-stack power-to-hydrogen station[J]. Applied Energy, 2024, 367, 123413.
Authors:  Li, Jiarong;  Yang, Bosen;  Lin, Jin;  Liu, Feng;  Qiu, Yiwei; et al.
Favorite | TC[WOS]:1 TC[Scopus]:3  IF:10.1/10.4 | Submit date:2024/05/16
Energy Management Strategy  Multi-stack  Power Factor  Power-to‑hydrogen  
A Dispatchable Region-Guided Adaptive Mode-Switching Regulation for Renewable Power to Ammonia Virtual Power Plants Journal article
Wu, Sirui, Li, Jiarong, Lin, Jin, Liu, Feng, Qiu, Yiwei, Song, Yonghua, Cheng, Xiang, Yu, Zhipeng. A Dispatchable Region-Guided Adaptive Mode-Switching Regulation for Renewable Power to Ammonia Virtual Power Plants[J]. IEEE Transactions on Sustainable Energy, 2024, 1-13.
Authors:  Wu, Sirui;  Li, Jiarong;  Lin, Jin;  Liu, Feng;  Qiu, Yiwei; et al.
Favorite | TC[Scopus]:0  IF:8.6/8.6 | Submit date:2024/07/04
Adaptive Mode-switching Regulation  Ammonia  Electricity  Hydrogen  Inductors  Production  Regulation  Renewable Energy Sources  Renewable Power To Ammonia  Virtual Power Plant  
Survey on Modeling of Temporally and Spatially Interdependent Uncertainties in Renewable Power Systems Journal article
Zhu, Jie, Zhou, Buxiang, Qiu, Yiwei, Zang, Tianlei, Zhou, Yi, Chen, Shi, Dai, Ningyi, Luo, Huan. Survey on Modeling of Temporally and Spatially Interdependent Uncertainties in Renewable Power Systems[J]. Energies, 2023, 16(16), 5938.
Authors:  Zhu, Jie;  Zhou, Buxiang;  Qiu, Yiwei;  Zang, Tianlei;  Zhou, Yi; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:3.0/3.0 | Submit date:2023/09/04
Power System Uncertainty  Spatially Interdependent Uncertainties  Stochastic Process  Temporally Interdependent Uncertainties  
Design of the PID temperature controller for an alkaline electrolysis system with time delays Journal article
Qi, Ruomei, Li, Jiarong, Lin, Jin, Song, Yonghua, Wang, Jiepeng, Cui, Qiangqiang, Qiu, Yiwei, Tang, Ming, Wang, Jian. Design of the PID temperature controller for an alkaline electrolysis system with time delays[J]. International Journal of Hydrogen Energy, 2023, 48(50), 19008-19021.
Authors:  Qi, Ruomei;  Li, Jiarong;  Lin, Jin;  Song, Yonghua;  Wang, Jiepeng; et al.
Favorite | TC[WOS]:11 TC[Scopus]:18  IF:8.1/7.3 | Submit date:2023/07/19
Electrolysis System  Pid Controller  Temperature Control  
Thermal modeling and controller design of an alkaline electrolysis system under dynamic operating conditions Journal article
Ruomei Qi, Jiarong Li, Jin Lin, Yonghua Song, Jiepeng Wang, Qiangqiang Cui, Yiwei Qiu, Ming Tang, Jian Wang. Thermal modeling and controller design of an alkaline electrolysis system under dynamic operating conditions[J]. Applied Energy, 2023, 332, 120551.
Authors:  Ruomei Qi;  Jiarong Li;  Jin Lin;  Yonghua Song;  Jiepeng Wang; et al.
Favorite | TC[WOS]:24 TC[Scopus]:35  IF:10.1/10.4 | Submit date:2023/02/22
Electrolysis System  Dynamic Operation  Thermal Modeling  Temperature Controller  
Numerical simulation acceleration of flat-chip solid oxide cell stacks by data-driven surrogate cell submodels Journal article
Chi, Yingtian, Hu, Qiang, Lin, Jin, Qiu, Yiwei, Mu, Shujun, Li, Wenying, Song, Yonghua. Numerical simulation acceleration of flat-chip solid oxide cell stacks by data-driven surrogate cell submodels[J]. Journal of Power Sources, 2023, 553.
Authors:  Chi, Yingtian;  Hu, Qiang;  Lin, Jin;  Qiu, Yiwei;  Mu, Shujun; et al.
Favorite | TC[WOS]:9 TC[Scopus]:10  IF:8.1/8.3 | Submit date:2023/02/08
3d Multiphysics Model  Adaptive Polynomial Approximation  Computational Cost  Data-driven  Flat-chip Solid Oxide Cell  
A Coordinated Frequency Regulation and Bidding Method for Wind-Electrolysis Joint Systems Participating Within Ancillary Services Markets Journal article
Cheng,Xiang, Lin,Jin, Liu,Feng, Qiu,Yiwei, Song,Yonghua, Li,Jiarong, Wu,Sirui. A Coordinated Frequency Regulation and Bidding Method for Wind-Electrolysis Joint Systems Participating Within Ancillary Services Markets[J]. IEEE Transactions on Sustainable Energy, 2022, 14(3), 1370-1384.
Authors:  Cheng,Xiang;  Lin,Jin;  Liu,Feng;  Qiu,Yiwei;  Song,Yonghua; et al.
Favorite | TC[WOS]:8 TC[Scopus]:12  IF:8.6/8.6 | Submit date:2023/08/03
Cooperation Scheme  Electrolysis System  Energy Market  Hydrogen  Multi-timescale Control  Regulation Market  Wind Power  
Model Predictive Control for Wind Farm Power Tracking with Deep Learning-Based Reduced Order Modeling Journal article
Chen, Kaixuan, Lin, Jin, Qiu, Yiwei, Liu, Feng, Song, Yonghua. Model Predictive Control for Wind Farm Power Tracking with Deep Learning-Based Reduced Order Modeling[J]. IEEE Transactions on Industrial Informatics, 2022, 18(11), 7484-7493.
Authors:  Chen, Kaixuan;  Lin, Jin;  Qiu, Yiwei;  Liu, Feng;  Song, Yonghua
Favorite | TC[WOS]:11 TC[Scopus]:15  IF:11.7/11.4 | Submit date:2022/05/17
Active Power Tracking  Deep Learning  Dynamic Wake Effect  Model Predictive Control (Mpc)  Reduced-order Model (Rom)  Wind Farm (Wf)  
Online identification of a link function degradation model for solid oxide fuel cells under varying-load operation Journal article
Chi, Yingtian, Qiu, Yiwei, Lin, Jin, Song, Yonghua, Hu, Qiang, Li, Wenying, Mu, Shujun. Online identification of a link function degradation model for solid oxide fuel cells under varying-load operation[J]. International Journal of Hydrogen Energy, 2022, 47(4), 2622-2646.
Authors:  Chi, Yingtian;  Qiu, Yiwei;  Lin, Jin;  Song, Yonghua;  Hu, Qiang; et al.
Favorite | TC[WOS]:11 TC[Scopus]:12  IF:8.1/7.3 | Submit date:2022/02/21
Degradation Model  Link Function  Prognostics  Solid Oxide Fuel Cell  Varying-load Operation  
Deep learning-aided model predictive control of wind farms for AGC considering the dynamic wake effect Journal article
Chen, Kaixuan, Lin, Jin, Qiu, Yiwei, Liu, Feng, Song, Yonghua. Deep learning-aided model predictive control of wind farms for AGC considering the dynamic wake effect[J]. Control Engineering Practice, 2021, 116, 104925.
Authors:  Chen, Kaixuan;  Lin, Jin;  Qiu, Yiwei;  Liu, Feng;  Song, Yonghua
Favorite | TC[WOS]:17 TC[Scopus]:16  IF:5.4/4.5 | Submit date:2021/12/08
Active Power Tracking  Deep Learning  Dynamic Wake Effect  Model Predictive Control  Reduced-order Model  Wind Farm