• Login
    View Item 
    •   DSpace Home
    • Tạp chí, bài báo khoa học
    • Bài báo khoa học
    • View Item
    •   DSpace Home
    • Tạp chí, bài báo khoa học
    • Bài báo khoa học
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    An Enhanced Moth Flame Algorithm for Peak Load Distribution Optimization

    Thumbnail
    View/Open
    An-Enhanced-Moth-Flame-Algorithm-for-Peak-Load-Distribution-Optimization_Nguyen-Thi-Xuan-Huong_Nguyen-Trong-The.pdf (1.090Mb)
    Date
    2022
    Author
    Đào, Thị Kiên
    Nguyễn, Thị Xuân Hương
    Nguyễn, Trọng Thể
    Đào, Minh Thu
    Metadata
    Show full item record
    Abstract
    Peak load distribution optimization (PLD) is a typical multi-constrained nonlinear optimization problem considered an essential vital part of the power system to achieve energy-saving and consumption reduction. This study introduces an enhanced version of the moth flame optimization algorithm (EMFO) for the PLD problem. The actual operation constraints of the power system of the PLD are modeled for the objective function of optimization. In the experimental section, the IEEE-bus benchmark system is used as the case study to test the performance of the proposed scheme. The results show that the proposed scheme can solve the power system PLD problem with feasibility and significant economic benefits.
    URI
    https://lib.hpu.edu.vn/handle/123456789/35118
    Collections
    • Bài báo khoa học [163]

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV
     

     

    Browse

    All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsBy Submit DateThis CollectionBy Issue DateAuthorsTitlesSubjectsBy Submit Date

    My Account

    LoginRegister

    DSpace software copyright © 2002-2016  DuraSpace
    Contact Us | Send Feedback
    Theme by 
    Atmire NV