Gradient-based and multi-innovation gradient-based iterative identification methods for dual-diode photovoltaic cell models

被引：0
|
作者：
Meng, Xiangxiang [1 ]
Ji, Yan [1 ]
机构：
[1] Qingdao Univ Sci & Technol, Sch Automat & Elect Engn, Qingdao 266061, Peoples R China
来源：
PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021) | 2021年
基金：
中国国家自然科学基金;
关键词：
Gradient search; Multi-innovation identification; Photovoltaic cell model; Parameter estimation; PARAMETER EXTRACTION; PERFORMANCE; SINGLE;
D O I：
10.1109/CCDC52312.2021.9602842
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 paper considers the parameter identification problems of dual-diode photovoltaic cell models. A gradient-based iterative algorithm is proposed for the photovoltaic cell model by using the negative gradient search method. In order to improve the parameters accuracy and data utilization, a multi-innovation gradient-based iterative algorithm is proposed to estimate the model parameters based on the multi-innovation identification theory. The simulation test results indicate that the proposed algorithms are effective.
引用
收藏
页码：6482 / 6487
页数：6
相关论文
共 50 条
  • [1] Gradient-based and multi-innovation gradient-based iterative algorithms for single-diode photovoltaic cell models
    Wang, Junwei
    Ji, Yan
    Liu, Haibo
    [J]. 2021 PROCEEDINGS OF THE 40TH CHINESE CONTROL CONFERENCE (CCC), 2021, : 1166 - 1171
  • [2] Multi-innovation gradient-based iterative identification methods for feedback nonlinear systems by using the decomposition technique
    Yang, Dan
    Ding, Feng
    [J]. INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2023, 33 (13) : 7755 - 7773
  • [3] Decomposition- and Gradient-Based Iterative Identification Algorithms for Multivariable Systems Using the Multi-innovation Theory
    Wan, Lijuan
    Ding, Feng
    [J]. CIRCUITS SYSTEMS AND SIGNAL PROCESSING, 2019, 38 (07) : 2971 - 2991
  • [4] Decomposition- and Gradient-Based Iterative Identification Algorithms for Multivariable Systems Using the Multi-innovation Theory
    Lijuan Wan
    Feng Ding
    [J]. Circuits, Systems, and Signal Processing, 2019, 38 : 2971 - 2991
  • [5] Separable Synchronous Multi-Innovation Gradient-Based Iterative Signal Modeling From On-Line Measurements
    Xu, Ling
    Ding, Feng
    Zhu, Quanmin
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 71
  • [6] Gradient-Based Identification Methods for Hammerstein Nonlinear ARMAX Models
    Feng Ding
    Yang Shi
    Tongwen Chen
    [J]. Nonlinear Dynamics, 2006, 45 : 31 - 43
  • [7] Gradient-based identification methods for Hammerstein nonlinear ARMAX models
    Ding, Feng
    Shi, Yang
    Chen, Tongwen
    [J]. NONLINEAR DYNAMICS, 2006, 45 (1-2) : 31 - 43
  • [8] Gradient-Based Optimizer for Parameter Extraction in Photovoltaic Models
    Ismaeel, Alaa A. K.
    Houssein, Essam H.
    Oliva, Diego
    Said, Mokhtar
    [J]. IEEE ACCESS, 2021, 9 : 13403 - 13416
  • [9] Improved gradient-based optimizer for parameters extraction of photovoltaic models
    Jiang, Yugui
    Luo, Qifang
    Zhou, Yongquan
    [J]. IET RENEWABLE POWER GENERATION, 2022, 16 (08) : 1602 - 1622
  • [10] Robust gradient-based iterative learning control
    Owens, D. H.
    Haetoenen, J.
    Daley, S.
    [J]. 2007 INTERNATIONAL WORKSHOP ON MULTIDIMENSIONAL SYSTEMS, 2007, : 143 - 148
12345