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 26 条
  • [1] An efficient salp swarm-inspired algorithm for parameters identification of photovoltaic cell models
    Abbassi, Rabeh
    Abbassi, Abdelkader
    Heidari, Ali Asghar
    Mirjalili, Seyedali
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2019, 179 : 362 - 372
  • [2] Identification of unknown parameters of solar cell models: A comprehensive overview of available approaches
    Abbassi, Rabeh
    Abbassi, Abdelkader
    Jemli, Mohamed
    Chebbi, Souad
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2018, 90 : 453 - 474
  • [3] Characterisation of PV CIS module by artificial neural networks. A comparative study with other methods
    Almonacid, F.
    Rus, C.
    Hontoria, L.
    Munoz, F. J.
    [J]. RENEWABLE ENERGY, 2010, 35 (05) : 973 - 980
  • [4] Performance Evaluation of Analytical Methods for Parameters Extraction of Photovoltaic Generators
    Anani, Nader
    Ibrahim, Haider
    [J]. ENERGIES, 2020, 13 (18)
  • [5] Development of a new compound method to extract the five parameters of PV modules
    Bai, Jianbo
    Liu, Sheng
    Hao, Yuzhe
    Zhang, Zhen
    Jiang, Meng
    Zhang, Yu
    [J]. ENERGY CONVERSION AND MANAGEMENT, 2014, 79 : 294 - 303
  • [6] Batzelis E.I, IEEE T SUSTAIN ENERG, P9
  • [7] Bellia H., 2014, NRIAG Journal of Astronomy and Geophysics, V3, P53, DOI [10.1016/j.nrjag.2014.04.001, DOI 10.1016/J.NRJAG.2014.04.001]
  • [8] COMPUTER-SIMULATION OF THE EFFECTS OF ELECTRICAL MISMATCHES IN PHOTOVOLTAIC CELL INTERCONNECTION CIRCUITS
    BISHOP, JW
    [J]. SOLAR CELLS, 1988, 25 (01): : 73 - 89
  • [9] Cannizzaro S, 2014, PROC IEEE INT SYMP, P2266, DOI 10.1109/ISIE.2014.6864971
  • [10] A single procedure for helping PV designers to select silicon PV modules and evaluate the loss resistances
    Carrero, C.
    Amador, J.
    Arnaltes, S.
    [J]. RENEWABLE ENERGY, 2007, 32 (15) : 2579 - 2589