Parameter estimation of photovoltaic modules using analytical and numerical/iterative approaches: A comparative study

被引:7
|
作者
Lidaighbi, Souad [1 ]
Elyaqouti, Mustapha [1 ]
Assalaou, Khalid [1 ]
Ben Hmamou, Dris [2 ]
Saadaoui, Driss [1 ]
H'roura, Jihad [3 ]
机构
[1] Ibn Zohr Univ, Agadir Fac Sci, Mat & Renewable Energy Lab, BP 8106, Agadir 80000, Morocco
[2] Ibn Zohr Univ, Fac Sci Agadir, Elect Lab Signal Proc & Phys Modeling, BP 8106, Agadir 80000, Morocco
[3] Ibn Zohr Univ, Fac Sci Agadir, Lab Images & Pattern Recognit Intelligent & Commu, BP 8106, Agadir 80000, Morocco
关键词
Photovoltaic module; Single-diode model; Parameters extraction; Analytical methods; Numerical methods; SILICON SOLAR-CELLS; UNKNOWN-PARAMETERS; EXTRACT; MODEL; IDENTIFICATION; SIMULATION;
D O I
10.1016/j.matpr.2021.10.021
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Modeling photovoltaic (PV) modules is fundamental for analyzing their efficiency and performance under different operating conditions. Generally, photovoltaic module modeling is based on a suitable equivalent circuit and a set of parameters representing the PV module's properties. Defining these parameters is not a trivial task, as they are usually not included in the technical documentation of the module. Therefore, the need to find suitable values for the model parameters becomes imperative. In this paper, we will test and compare two methods of extracting single-diode model (SDM) parameters: analytical and numerical, under standard test conditions (STC conditions). We examined the performance of six techniques: three analytical and three numerical. Except for Saleem technique, which tends to underestimate the I-V and P-V curves in the MPP zone, the results demonstrated that both approaches (analytical and iterative/ numerical) are valid and accurate for predicting the I-V and P-V curves under STC conditions. (c) 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the International Network of Biomaterials and Engineering Science.
引用
收藏
页码:1 / 6
页数:6
相关论文
共 50 条
  • [41] Using a novel optimization algorithm for parameter extraction of photovoltaic cells and modules
    Pourmousa, Nafiseh
    Ebrahimi, S. Mohammadreza
    Malekzadeh, Milad
    Gordillo, Francisco
    EUROPEAN PHYSICAL JOURNAL PLUS, 2021, 136 (04):
  • [42] Estimation of the Operating Temperature of Photovoltaic Modules Using MATLAB/Simulink
    Espejo, Emmanuel J.
    Molina, Marcelo G.
    Baquedano, Mario D.
    2016 IEEE BIENNIAL CONGRESS OF ARGENTINA (ARGENCON), 2016,
  • [43] Using a novel optimization algorithm for parameter extraction of photovoltaic cells and modules
    Nafiseh Pourmousa
    S. Mohammadreza Ebrahimi
    Milad Malekzadeh
    Francisco Gordillo
    The European Physical Journal Plus, 136
  • [44] A new approach for parameter estimation of the single-diode model for photovoltaic cells/modules
    Atay, Bilge Kaan
    Eminoglu, Ulas
    TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, 2019, 27 (04) : 3026 - 3039
  • [45] Photovoltaic Parameter Estimation Using Grey Wolf Optimization
    Darmansyah
    Robandi, Imam
    2017 3RD INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ROBOTICS (ICCAR), 2017, : 593 - 597
  • [46] Grasshopper optimization algorithm for parameter estimation of photovoltaic modules based on the single diode model
    Montano, J.
    Tobon, A. F.
    Villegas, J. P.
    Durango, M.
    INTERNATIONAL JOURNAL OF ENERGY AND ENVIRONMENTAL ENGINEERING, 2020, 11 (03) : 367 - 375
  • [47] Grasshopper optimization algorithm for parameter estimation of photovoltaic modules based on the single diode model
    J. Montano
    A. F. Tobón
    J. P. Villegas
    M. Durango
    International Journal of Energy and Environmental Engineering, 2020, 11 : 367 - 375
  • [48] A combination of Newton-Raphson method and heuristics algorithms for parameter estimation in photovoltaic modules
    Gnetchejo, Patrick Juvet
    Essiane, Salome Ndjakomo
    Dadje, Abdouramani
    Ele, Pierre
    HELIYON, 2021, 7 (04)
  • [49] Parameter estimation for an internal variable model using nonlinear optimization and analytical/numerical response sensitivities
    Fossum, AF
    JOURNAL OF ENGINEERING MATERIALS AND TECHNOLOGY-TRANSACTIONS OF THE ASME, 1997, 119 (04): : 337 - 345
  • [50] Comparative study of analytical and numerical methods for estimation of aquifer parameters: A case study in Basaltic Terrain
    Sarwade, D. V.
    Singh, V. S.
    Puranik, S. C.
    Mondal, N. C.
    JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA, 2007, 70 (06) : 1039 - 1046