基于遗传算法的南门河电站有功负荷优化设计
기우유전산법적남문하전참유공부하우화설계
The Active Load of South Gate River Hydropower Station was Optimize Designed based on Genetic Algorithms
  • 万方数据
    科技创业月刊 과기창업월간
    PIONEERING WITH SCIENCE & TECHNOLOGY MONTHLY
    2012年 5期 162-163 ,共2页

    丁官元%华中平

    정관원%화중평

    遗传算法%MATLAB%有功负荷%优化设计 遺傳算法%MATLAB%有功負荷%優化設計
    유전산법%MATLAB%유공부하%우화설계
    genetic algorithm%MATLAB%active load%optimal design
    利用MATLAB遗传算法工具箱对南门河电站有功负荷优化设计,使得总耗水量减少,同时可提高站内机组的利用效率,延长各机组使用寿命。
    이용MATLAB유전산법공구상대남문하전참유공부하우화설계,사득총모수량감소,동시가제고참내궤조적이용효솔,연장각궤조사용수명。
    The active load of South Gate River hydropower station was optimize designed by MATLAB genetic algorithm toolbox active,so that the total water consumption was reduced,while increasing the utilization efficiency of the station crew and extend the life of the various units.
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