English  |  正體中文  |  简体中文  |  Items with full text/Total items : 90570/105786 (86%)
Visitors : 16335956      Online Users : 291
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    ASIA unversity > 管理學院 > 經營管理學系  > 期刊論文 >  Item 310904400/111599


    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/111599


    Title: Biogeography-based Optimization Based on Population Competition Strategy for Solving the Substation Location Problem
    Authors: Li, L.-L;Yang, Y.-F.;Yang, Y.-F.;Wang, C.-H.;Wang, C.-H.;林國平;Lin, Kuo-Ping;*
    Contributors: 經營管理學系
    Date: 2018-05
    Issue Date: 2018-10-22 11:44:13 (UTC+8)
    Abstract: Location planning of electrical substations is a power planning problem, in which expert knowledge is used to determine ideal substation locations. Using intelligent planning to help electric power experts to reasonably plan the location of a substation can not only ensure the reliability of power supply, but also save on cost to a great extent. In order to improve the economics of electric power planning, this study proposes a combined biogeography-based optimization with population competition algorithm (BBOPC) method. Competition strategy can enhance the search ability of the algorithm due to the dispersed populations involved. A comparative evaluation against the biogeography-based optimization (BBO), competitive strategy based on BBO (CBBO), modified mutation operator based on BBO (MBBO), and BBOPC methods is carried out in selecting the optimal position for a substation. The final results show that, (1) for a simple substation location problem, the minimum total investment cost achieved by BBOPC was less than that of CBBO, currently the most cost-effective method whose total investment cost is relatively better. (2) For a complex substation location problem, the minimum total investment cost achieved by BBOPC was less than that of MBBO. (3) BBOPC demonstrates better convergence characteristics and robustness compared to the other approaches. The proposed BBOPC method can help power experts develop reasonable power planning, which can help the power system effectively achieve operational reliability and economy.
    Relation: EXPERT SYSTEMS WITH APPLICATIONS
    Appears in Collections:[經營管理學系 ] 期刊論文

    Files in This Item:

    File SizeFormat
    index.html0KbHTML200View/Open


    All items in ASIAIR are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback