This paper deals with power generation through solar photovoltaic (SPV) system and its implementation as grid-tied and stand-alone systems. The major setbacks of SPV system of low conversion efficacy, that can be enhanced through the maximum power point tracking (MPPT) algorithm. A modified incremental conductance (MIC), termed as error based incremental conductance MPPT, has been proposed, and its behaviour is comprehensively compared with classical perturb and observe (P&O) and incremental conductance (IC) techniques. Dealing with the on-grid application of SPV system, maximum power obtained through MIC is fed to a three-phase grid operating at unity power factor (UPF), and the quality of grid current is monitored. Further, the power obtained through MIC finds its application in designing an SPV-diesel generator (DG) based hybrid renewable energy system (HRES) for areas either not connected to the grid or have insufficient fossils. The stochastic nature of source or uncertain load demand leads to deviation in system frequency. This paper proposes an intelligent, comprehensive supervisory optimal-fuzzy-proportional-integral-derivative (O-F-PID) controller for load frequency control (LFC). The performance of proposed O-F-PID controller has been vividly compared with the designed optimal-PID (O-PID) and conventional PID (C-PID) controllers under varying source and load demand conditions.


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    Titel :

    Modified incremental conductance MPPT algorithm for SPV-based grid-tied and stand-alone systems


    Beteiligte:

    Erscheinungsdatum :

    2022-02-01


    Anmerkungen:

    Pathak , P K , Padmanaban , S , Yadav , A K , Alvi , P A & Khan , B 2022 , ' Modified incremental conductance MPPT algorithm for SPV-based grid-tied and stand-alone systems ' , IET Generation, Transmission and Distribution , vol. 16 , no. 4 , pp. 776-791 . https://doi.org/10.1049/gtd2.12328



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629





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