In this research proposal, reduced-order (RO) model for interconnected wind-turbine-generator (WTG) system is presented by incorporating time-moments (T-Ms) as well as Markov-parameters (M-Ps) of higher-order (HO) WTG system and its RO WTG model. The T-Ms along with M-Ps of HO WTG system and its expected RO WTG model are employed for formation of fitness function. The weighted-errors as steady-state error gain, between T-Ms of the WTG model and HO WTG system are diminished to obtain the better steady-state response of RO WTG model in comparison with HO WTG system. The transient response of the model is improved by diminishing weighted errors as transient response error gain, between M-Ps of the RO WTG model and HO WTG system. The minimization of these errors are achieved by employing grey-wolf optimizer. The optimization of is done by satisfying the constraints of ensuring steady-state matching and stability of desired RO WTG model so as to obtained better RO model. The efficacy and applicability of proposed methodology are demonstrated by presenting the step response along with impulse and Bode responses. The tabulated data are also provided in terms of specifications of time-domain and error-criterion in the support of the readability of presented method.


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    Title :

    Error Minimization-Based Order Diminution of Interconnected Wind-Turbine-Generator


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:

    Conference:

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



    Publication date :

    2023-11-18


    Size :

    14 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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