This proposal is presenting a novel determination of reduced-order (RO) model for higher-order (HO) controller of boost converter enabled hybrid solar-photovoltaic (SPV) stand-alone system. In this work, controller of HO-SPV system is approximated to RO-SPV model by minimizing steady-state errors gain as time-moments (T-Ms) and transient-state errors gain as Markov-parameters (M-Ps) of the HO-SPV system and desired RO-SPV model. Firstly, T-Ms and M-Ps of HO-SPV controller system and RO-SPV controller model are exploited to formulate the fitness function. The minimization of formulated fitness function is done by employing grey-wolf (GW) optimization algorithm. The optimization is accomplished by satisfying the constraints of minimization of steady-state error and confirming the stability of RO model. The matching of steady-state between HO-SPV controller and RO-SPV model is accomplished by matching of first T-Ms of HO-SPV controller and RO-SPV model, whereas Hurwitz criterion is introduced to confirm the stability of RO-SPV model. The step along with impulse and Bode plots is presented to demonstrate the effectiveness and applicability of the proposed method. The comparative analysis by considering time-domain (TD) specifications and error indices are also provided and discussed for validation of proposed methodology for better understanding.


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    Titel :

    Approximation of Stand-alone Boost Converter Enabled Hybrid Solar-Photovoltaic Controller System


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Sharma, Sanjay (Herausgeber:in) / Subudhi, Bidyadhar (Herausgeber:in) / Sahu, Umesh Kumar (Herausgeber:in) / Yadav, Umesh Kumar (Autor:in) / Meena, V. P. (Autor:in) / Sahu, Umesh Kumar (Autor:in) / Singh, V. P. (Autor:in)

    Kongress:

    International Conference on Robotics, Control, Automation and Artificial Intelligence ; 2022 November 24, 2022 - November 26, 2022



    Erscheinungsdatum :

    18.11.2023


    Format / Umfang :

    14 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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