Parameter Identification for Solid Oxide Fuel Cell Models: Crucial Comments

被引:1
作者
Zeng, Chunyuan [1 ]
Yang, Bo [1 ]
Han, Yiming [1 ]
机构
[1] Kunming Univ Sci & Technol, Fac Elect Power Engn, Kunming, Yunnan, Peoples R China
关键词
solid oxide fuel cell; hydrogen energy; parameter identification; modeling; optimization methods; STEADY-STATE; SOFC; OPTIMIZATION; ALGORITHM; CONTROLLER; SYSTEM; FLOW;
D O I
10.3389/fenrg.2022.844690
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
45
引用
收藏
页数:5
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[41]   Wide-Area Damping Controller for Power System Interarea Oscillations: A Networked Predictive Control Approach [J].
Yao, Wei ;
Jiang, Lin ;
Wen, Jinyu ;
Wu, Qinghua ;
Cheng, Shijie .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2015, 23 (01) :27-36
[42]   Optimal Coordinated Control of Multi-Renewable-to-Hydrogen Production System for Hydrogen Fueling Stations [J].
Zhang, Kuan ;
Zhou, Bin ;
Or, Siu Wing ;
Li, Canbing ;
Chung, Chi Yung ;
Voropai, Nikolai .
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2022, 58 (02) :2728-2739
[43]   An optimal model identification for solid oxide fuel cell based on extreme learning machines optimized by improved Red Fox Optimization algorithm [J].
Zhang, Min ;
Xu, Zhenghua ;
Lu, Xuewen ;
Liu, Yong ;
Xiao, Qianghua ;
Taheri, Bahman .
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2021, 46 (55) :28270-28281
[44]   Virtual generation tribe based robust collaborative consensus algorithm for dynamic generation command dispatch optimization of smart grid [J].
Zhang, Xiaoshun ;
Yu, Tao ;
Yang, Bo ;
Li, Li .
ENERGY, 2016, 101 :34-51
[45]   Approximate ideal multi-objective solution Q(λ) learning for optimal carbon-energy combined-flow in multi-energy power systems [J].
Zhang, Xiaoshun ;
Yu, Tao ;
Yang, Bo ;
Zheng, Limin ;
Huang, Linni .
ENERGY CONVERSION AND MANAGEMENT, 2015, 106 :543-556