This research proposes a solution to the economic load dispatch (ELD) problem using the enhanced flower pollination algorithm (EFPA). The EFPA has captured advanced features, e.g., simple structure, quick search, and implementation, due to introducing a random jump perturbation in the global pollination phase and updating the switching probability according to the optimal global value of each iteration. The mathematically expressed ELD is described as a typical problem of multi-constraint nonlinear optimization. Two case calculation experiments will be used to assess and evaluate the proposed system’s optimization efficiency from multi-dimensional economic perspectives with its feasibility and efficacy solution. The validation results show that the proposed scheme has more convergence speed and robustness than the other comparative methods.


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    Titel :

    An Enhanced Flower Pollination Algorithm for Power System Economic Load Dispatch


    Weitere Titelangaben:

    Smart Innovation, Systems and Technologies


    Beteiligte:
    Wu, Tsu-Yang (Herausgeber:in) / Ni, Shaoquan (Herausgeber:in) / Chu, Shu-Chuan (Herausgeber:in) / Chen, Chi-Hua (Herausgeber:in) / Favorskaya, Margarita (Herausgeber:in) / Lee, Hung-Peng (Autor:in) / Nguyen, Trong-The (Autor:in) / Dao, Thi-Kien (Autor:in) / Vu, Van-Dinh (Autor:in) / Ngo, Truong-Giang (Autor:in)


    Erscheinungsdatum :

    2021-11-30


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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