A Particle Swarm Optimization based Fuzzy Logic Control for Photovoltaic System

  • Authors

    • Neeraj Priyadarshi
    • Farooque Azam
    • Ashis Sharma
    • Akash Kumar Bhoi
    • Manish Kumar
    https://doi.org/10.14419/ijet.v7i3.24.22799
  • MPPT, PV, P and O, PSO-FLC

  • Abstract

    A Particle swarm optimizer (PSO)-Fuzzy logic based MPPT is used for optimal control in renewable energy system. It uses buck-boost converter, which acts as a maximum power point tracking. The proposed inverter comprises of mainly three functions viz. MPPT, DC-side voltage regulation and output grid-connected current, over changing insolation level. The system is connected to the grid to supply ac power which is accomplished by globally locating the maximum power point of the array. PSO algorithm is used to optimize thefuzzy values accurately. The PV practical implementation is linked with theSimulink based PSO-FLC method.

     

     

  • References

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  • How to Cite

    Priyadarshi, N., Azam, F., Sharma, A., Kumar Bhoi, A., & Kumar, M. (2018). A Particle Swarm Optimization based Fuzzy Logic Control for Photovoltaic System. International Journal of Engineering & Technology, 7(3.24), 491-496. https://doi.org/10.14419/ijet.v7i3.24.22799

    Received date: 2018-12-02

    Accepted date: 2018-12-02