Performance optimization of photovoltaic system under real climatic conditions using a novel MPPT approach

被引:7
|
作者
Belghiti, Hamid [1 ]
Kandoussi, Khalid [1 ]
Chellakhi, Abdelkhalek [1 ]
Mchaouar, Youssef [1 ]
El Otmani, Rabie [1 ]
Sadek, El Mostafa [1 ]
机构
[1] Univ Chouaib Doukkali, Natl Sch Appl Sci, Lab Engn Sci Energy, El Jadida, Morocco
关键词
Photovoltaic array; MPPT algorithm; Quadratic boost converter; optimization; performance; CONTROLLER-BASED MPPT; FUZZY-LOGIC; IMPLEMENTATION; SIMULATION; ALGORITHM;
D O I
10.1080/15567036.2024.2308656
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
In order to mitigate the impact of temperature and irradiation variations on photovoltaic (PV) panels, it is crucial to employ the maximum power point tracking (MPPT) technique. This paper introduces a novel MPPT approach that provides a reference current, denoted as Iref, to extract the maximum power from the PV array. The difference between the input current Ipv, and Iref is then fed into a PID controller, which adjusts the duty cycle accordingly to control the Quadratic Boost Converter (QBC). The proposed MPPT approach is based on the analysis of measurement data obtained from PV panels. From this, a linear mathematical function between Iref and solar irradiation is achieved. To assess the performance of this approach, a comparative study is being carried out not only with conventional MPPT techniques such as P&O and INC-COND but also with modern techniques such as ANN, PSO, FLC, and improved P&O (IMP-P&O). The simulation results clearly demonstrate enhanced tracking performance under various test conditions, including the Step & Ropp test, as well as real profiles for both sunny and cloudy days. Certainly, the novel approach shows its ability to outperform both conventional and modern methods with a faster convergence speed (less than 2 milliseconds), the lowest steady-state oscillations (less than 0.25 Watts), and the highest tracking efficiency (greater than 99.79%).
引用
收藏
页码:2474 / 2492
页数:19
相关论文
共 50 条
  • [1] MPPT algorithms based modeling and control for photovoltaic system under variable climatic conditions
    Yatimi, Hanane
    Aroudam, Elhassan
    11TH INTERNATIONAL CONFERENCE INTERDISCIPLINARITY IN ENGINEERING, INTER-ENG 2017, 2018, 22 : 757 - 764
  • [2] Optimization of the performance of a Photovoltaic System with MPPT Controller
    Bennis, Ghita
    Karim, Mohammed
    Lagrioui, Ahmed
    PROCEEDINGS OF 2015 3RD IEEE INTERNATIONAL RENEWABLE AND SUSTAINABLE ENERGY CONFERENCE (IRSEC'15), 2015, : 902 - 907
  • [3] MPPT for a photovoltaic system under partial shaded conditions
    Ramiro Pena, Ricardo
    Ignacio Talpone, Juan
    Mantz, Ricardo
    Battaiotto, Pedro
    2020 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), 2020, : 65 - 70
  • [4] A New MPPT Design Using Grey Wolf Optimization Technique for Photovoltaic System Under Partial Shading Conditions
    Mohanty, Satyajit
    Subudhi, Bidyadhar
    Ray, Pravat Kumar
    IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2016, 7 (01) : 181 - 188
  • [5] A Novel MPPT Based Reptile Search Algorithm for Photovoltaic System under Various Conditions
    Douifi, Nadia
    Abbadi, Amel
    Hamidia, Fethia
    Yahya, Khalid
    Mohamed, Mahmoud
    Rai, Nawal
    APPLIED SCIENCES-BASEL, 2023, 13 (08):
  • [6] Photovoltaic MPPT adaptive particle swarm optimization optimization under shading conditions
    Han, Sipeng
    Jiang, Xiaoyan
    Luo, Yi
    Jiao, Qianzhi
    Tan, Jingyang
    Xun, Yue
    Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2022, 43 (06): : 99 - 105
  • [7] Performance of a photovoltaic powered reverse osmosis system under local climatic conditions
    Abdallah, S
    Abu-Hilal, M
    Mohsen, MS
    DESALINATION, 2005, 183 (1-3) : 95 - 104
  • [8] A novel theta MPPT approach based on adjustable step size for photovoltaic system applications under various atmospheric conditions
    Chellakhi, Abdelkhalek
    El Beid, Said
    Abouelmahjoub, Younes
    ENERGY SYSTEMS-OPTIMIZATION MODELING SIMULATION AND ECONOMIC ASPECTS, 2024, 15 (01): : 89 - 114
  • [9] A novel theta MPPT approach based on adjustable step size for photovoltaic system applications under various atmospheric conditions
    Abdelkhalek Chellakhi
    Said El Beid
    Younes Abouelmahjoub
    Energy Systems, 2024, 15 : 89 - 114
  • [10] Experimental Assessment of a Novel Irradiance Sensorless Intelligent Control Scheme for a Standalone Photovoltaic System under Real Climatic Conditions
    Sun, Jialan
    Fan, Jinwei
    ENERGIES, 2024, 17 (18)