In order to cope with the increasing energy demand, microgrids emerged as a potential solution which allows the designer a lot of flexibility. The optimization of the controller parameters of a microgrid ensures a stable and environment friendly operation. Non-dominated Sorting Sine Cosine Algorithm (NSSCA) is a hybrid of Sine Cosine Algorithm and Non-dominated Sorting technique. This algorithm is applied to optimize the control parameters of a microgrid which incorporates both static and dynamic load. The obtained results are compared with the results of the established Non-dominated Sorting Genetic Algorithm-II (NSGA-II) in order to justify the proposal of the NSSCA. The average time needed to converge in NSSCA is 7.617s whereas NSGA-II requires an average of 10.660s. Moreover, the required number of iterations for NSSCA is 2 which is significantly less in comparison to the 12 iterations in NSGA-II.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Optimized Controller Design for an Islanded Microgrid using Non-dominated Sorting Sine Cosine Algorithm (NSSCA)


    Beteiligte:
    Islam, Q. N. U. (Autor:in) / Abdullah, S. M. (Autor:in) / Hossain, M. A. (Autor:in)

    Erscheinungsdatum :

    2020-08-16


    Anmerkungen:

    oai:zenodo.org:4016240
    Engineering, Technology & Applied Science Research 10(4) 6052-6056



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629




    Controller design for gantry crane system using modified sine cosine optimization algorithm

    Abbas, Nizar Hadi / Mahmood, Ahmed Abduljabbar | BASE | 2021

    Freier Zugriff


    Improved Sine-cosine Algorithm for the Optimization Design of Truss Structures

    Zhou, Huanlin / Yang, Xiaomeng / Tao, Ran et al. | Springer Verlag | 2024



    An Islanded Microgrid Droop Control using Henry Gas Solubility Optimization

    Mohamed A. Ebrahim / Reham M. Abdel Fattah / Ebtisam M. Saied et al. | BASE | 2021

    Freier Zugriff