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基于模糊主成分分析的水库正常蓄水位优选法

Optimum Seeking Method of Normal Water Level of Reservoir Based on Fuzzy Principal Component Analysis

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【作者】 赵万里王瑞莲

【Author】 ZHAO Wanli,WANG Ruilian(North China University of Water Resources and Electric Power,Institute of Clean Energy and Applied Fluid Mechanics,Zhengzhou 450045,China)

【机构】 华北水利水电学院清洁能源及应用流体力学研究所

【摘要】 针对水电站水库正常蓄水位选取中存在的问题,分析了生成正常蓄水位方案和评价指标的选取方法,并将相对隶属度与主成分分析法相结合,建立了基于模糊主成分分析的水库正常蓄水位方案选取方法。实例计算结果表明,该方法简单、省时,能准确优选出合理方案。

【Abstract】 Focusing on the problem of optimization method for selection of normal water level of hydropower station reservoir,the generating method of normal water level of reservoir and the select method of evaluating indicator is analyzed.The fuzzy principal component analysis of selection of normal water level of reservoir is established by combining relative membership with principal component analysis.Example results show that the method is simple and can reduce greatly computational effort of comprehensive evaluation as well as accurately optimize the reasonable normal water level scheme of reservoir.

【基金】 高层次人才科研启动基金资助项目(40203)
  • 【文献出处】 水电能源科学 ,Water Resources and Power , 编辑部邮箱 ,2013年02期
  • 【分类号】TV697.1
  • 【被引频次】8
  • 【下载频次】166
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