Gradient-based and multi-innovation gradient-based iterative algorithms for single-diode photovoltaic cell models

被引：0
|
作者：
Wang, Junwei [1 ]
Ji, Yan [1 ]
Liu, Haibo [1 ]
机构：
[1] Qingdao Univ Sci & Technol, Coll Automat & Elect Engn, Qingdao 266061, Peoples R China
来源：
2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC) | 2021年
基金：
中国国家自然科学基金;
关键词：
Parameter estimation; Photovoltaic cell; Iterative identification; Gradient search; Multi-innovation identification; PARAMETER-ESTIMATION; RECURSIVE-IDENTIFICATION; BILINEAR-SYSTEMS; HAMMERSTEIN SYSTEMS; DYNAMIC-SYSTEMS; STATE; EXTRACTION;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This study presents the parameter estimation of single diode photovoltaic cell models. To identify parameters more simply and effectively, a gradient-based iterative identification algorithm and a multi-innovation gradient-based iterative identification algorithm are proposed for single-diode photovoltaic cell models by using the negative gradient search and the multi-innovation identification theory. Finally, the scheme is analyzed through a large number of statistical analysis results, and it shows the effectiveness of the proposed algorithms.
引用
收藏
页码：1166 / 1171
页数：6
相关论文
共 50 条
  • [31] Selective coefficient update of gradient-based adaptive algorithms
    Aboulnasr, T
    Mayyas, K
    [J]. 1997 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I - V: VOL I: PLENARY, EXPERT SUMMARIES, SPECIAL, AUDIO, UNDERWATER ACOUSTICS, VLSI; VOL II: SPEECH PROCESSING; VOL III: SPEECH PROCESSING, DIGITAL SIGNAL PROCESSING; VOL IV: MULTIDIMENSIONAL SIGNAL PROCESSING, NEURAL NETWORKS - VOL V: STATISTICAL SIGNAL AND ARRAY PROCESSING, APPLICATIONS, 1997, : 1929 - 1932
  • [32] Empirical Characterization of Discretization Error in Gradient-based Algorithms
    Bachrach, Jonathan
    Beal, Jacob
    Horowitz, Joshua
    Qumsiyeh, Dany
    [J]. SASO 2008: SECOND IEEE INTERNATIONAL CONFERENCE ON SELF-ADAPTIVE AND SELF-ORGANIZING SYSTEMS, PROCEEDINGS, 2008, : 203 - 212
  • [33] Gradient-based optimization algorithms for networks of reconfigurable sensors
    de Groot, T. H.
    Krasnov, O. A.
    Yarovoy, A. G.
    [J]. CONTROL ENGINEERING PRACTICE, 2014, 29 : 74 - 85
  • [34] Comprehensive analysis of gradient-based hyperparameter optimization algorithms
    Bakhteev, O. Y.
    Strijov, V. V.
    [J]. ANNALS OF OPERATIONS RESEARCH, 2020, 289 (01) : 51 - 65
  • [35] EFFICIENT GRADIENT-BASED ALGORITHMS FOR THE CONSTRUCTION OF PARETO FRONTS
    Shankaran, Sriram
    Barr, Brian
    [J]. PROCEEDINGS OF THE ASME TURBO EXPO 2011, VOL 7, PTS A-C, 2012, : 1077 - 1090
  • [36] Comprehensive analysis of gradient-based hyperparameter optimization algorithms
    O. Y. Bakhteev
    V. V. Strijov
    [J]. Annals of Operations Research, 2020, 289 : 51 - 65
  • [37] Gradient-based and least-squares-based iterative estimation algorithms for multi-input multi-output systems
    Ding, F.
    Liu, Y.
    Bao, B.
    [J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2012, 226 (I1) : 43 - 55
  • [38] An enhanced Gradient-based Optimizer for parameter estimation of various solar photovoltaic models
    Premkumar, M.
    Jangir, Pradeep
    Ramakrishnan, C.
    Kumar, C.
    Sowmya, R.
    Deb, Sanchari
    Kumar, Nallapaneni Manoj
    [J]. ENERGY REPORTS, 2022, 8 : 15249 - 15285
  • [39] Gradient-Based Iterative Parameter Estimation Algorithms for Dynamical Systems from Observation Data
    Ding, Feng
    Pan, Jian
    Alsaedi, Ahmed
    Hayat, Tasawar
    [J]. MATHEMATICS, 2019, 7 (05)
  • [40] GRADIENT-BASED ITERATIVE ALGORITHMS FOR THE TENSOR NEARNESS PROBLEMS ASSOCIATED WITH SYLVESTER TENSOR EQUATIONS
    Liang, Maolin
    Zheng, Bing
    [J]. COMMUNICATIONS IN MATHEMATICAL SCIENCES, 2021, 19 (08) : 2275 - 2290
12345