淡江大學機構典藏:Item 987654321/60714
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 62830/95882 (66%)
造访人次 : 4142722      在线人数 : 676
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/60714


    题名: A computer package for optimal multi-objective var planning in large scale power systems
    作者: 蕭瑛東;Hsiao, Ying-tung;Chiang, Hsiao-dong;Liu, Chun-chang;Chen, Yuan-lin
    贡献者: 淡江大學電機工程學系
    日期: 1994-05
    上传时间: 2011-10-15 00:45:40 (UTC+8)
    出版者: Piscataway: Institute of Electrical and Electronics Engineers
    摘要: This paper presents a simulated annealing based computer package for multi-objective, VAr planning in large scale power systems-SAMVAR. This computer package has three distinct features. First, the optimal VAr planning is reformulated as a constrained, multi-objective, nondifferentiable optimization problem. The new formulation considers four different objective functions related to system investment, system operational efficiency, system security and system service quality. The new formulation also takes into consideration load, operation and contingency constraints. Second, it allows both the objective functions and equality and inequality constraints to be nondifferentiable; making the problem formulation more realistic. Third, the package employs a two-stage solution algorithm based on an extended simulated annealing technique and the E-constraint method. The first-stage of the solution algorithm uses an extended simulated annealing technique to find a global, noninferior solution. The results obtained from the first-stage provide a basis for planners to prioritize the objective functions such that a primary objective function is chosen and tradeoff tolerances for the other objective functions are set. The primary objective function and the trade-off tolerances are then used to transform the constrained multi-objective optimization problem into a single-objective optimization problem with more constraints by employing the E-constraint method. The second-stage uses the simulated annealing technique to find the global optimal solution
    關聯: IEEE Transactions on Power Systems 9(2), pp.668-676
    DOI: 10.1109/59.317676
    显示于类别:[電機工程學系暨研究所] 期刊論文

    文件中的档案:

    档案 大小格式浏览次数
    index.html0KbHTML374检视/开启

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回馈