Maximum power extraction technique (MPPT) is very vital in case of a an off-grid photovoltaic (PV) system. For this purpose, Perturb & Observe (P&O) algorithm is one of the most explored techniques for itseasy implementation. However, conventional-P&O is less compatible to nonlinear dynamics of a PV system. This problem can be overcome using a metaheuristic-based P&O scheme. Therefore, metaheuristic optimization based maximum power extraction scheme is formulated for a PV system in this paper. Here, Particle swarm optimization (PSO) algorithm is chosen as the metaheuristic optimization algorithm as it is already established in other fields. The proposed PSO-P&O based maximum power extraction scheme consists both the advantages of PSO (accuracy) and P&O (easy implementation). An off-grid PV model is constructed and simulated in MATLAB/SIMULINK platform. Further, to test its efficiency, results obtained from it are correlated to conventional-P&O technique. All results are infavors of the proposed scheme.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Metaheuristic Technique Based MPPT for An Off-grid Photovoltaic Based Microgrid System


    Contributors:


    Publication date :

    2023-08-09


    Size :

    449531 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Comparison of ABWS and MDS MPPT technique with conventional MPPT technique

    Sondge, Sanket / Jape, V. M. / Virulkar, V. B. | IEEE | 2017



    MPPT Based on Fuzzy Logic Controller (FLC) for Photovoltaic (PV) System in Solar Car

    Aji, Seno / Ajiatmo, Dwi / Robandi, Imam et al. | BASE | 2013

    Free access

    Towards Operational Cost Reduction of Data Center Microgrid Using Metaheuristic Approach

    Khajuria, Rahul / Lamba, Ravita / Kumar, Rajesh | IEEE | 2024