This paper presents the application of controller hardware-in-the-loop (C-HIL) for real-time study of maximum power point tracking (MPPT) algorithm in solar photovoltaic (PV) system. The testing platform in this study which consist of three series connected PV modules together with a DC/DC boost converter were modelled and implemented using Tyhoon HIL-402. For the MPPT controller, a conventional perturb and observe (P&O) and a well-established particle swarm optimization (PSO) based MPPT algorithm are developed and implemented in a digital signal processor. The performance of both algorithms were examined under real-time working condition with 10 different partial shaded test cases. From the study, the P&O shows a faster convergence speed which it can track for maximum power point rapidly up to 0.5070 s compared to the fastest tracking of PSO at 1.3598 s. However, PSO shows a greater capability in tracking for true maximum power point under partial shaded conditions with average output efficiency up to 99.92% compared to P&O which is only 76.76%.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    A Real-time Simulation Platform for Maximum Power Point Tracking Algorithm Study in Solar Photovoltaic System



    Erscheinungsdatum :

    28.07.2019


    Anmerkungen:

    Applications of Modelling and Simulation; Vol 3, No 2 (2019); 111-118 ; 2600-8084


    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629 / 600





    Maximum Power Point Tracking for Solar PV System

    Gupta, S. / Kalika, S. / Luisito, R.C. | British Library Conference Proceedings | 2012



    Maximum Power Point Tracking in Partial Shaded Photovoltaic System using Smell Agent Optimization Algorithm

    Amusat, R. O. / Shodiya, S. / Ngadda, Y. H. et al. | BASE | 2023

    Freier Zugriff