考虑滞后效应的抽水蓄能电站渗流统计模型  

Seepage Statistical Model Based on Lag Effect for Pumped Storage Power Stations

作　　者：霍吉祥[1] 宋汉周[1] 吴志伟[1] 陈杰[1] 

机构地区：[1]河海大学地球科学与工程学院,江苏省南京市210098

出　　处：《水电自动化与大坝监测》2011年第2期59-63,共5页HYDROPOWER AUTOMATION AND DAM MONITORING

基　　金：江苏省普通高校研究生科研创新计划项目(CX10B_218Z;CX09B_167Z);国网新源控股有限公司科技项目(THPKJ-2010-02)

摘　　要：随着国内抽水蓄能电站的广泛建设,通过对渗流量等原型观测资料的分析,可以揭示可能来源于输水系统的"内水外渗"状况。与常规水电站不同,针对抽水蓄能电站特殊的运行工况,建立了以日为变化周期、小时为计算单位、同时考虑滞后效应的渗流统计模型,并采用遗传算法求解滞后因子。计算实例表明,该模型具有较好的拟合精度;区内不同测点渗流量主要受上库水位因子影响,但滞后因子存在显著差异。因而认为,该模型具有较强的工程实际意义。With the wide construction of pumped storage power stations in China,the seepage situation potentially originated from the conveyance system may be revealed the analysis of the prototype observation data for seepage amount.In the special case of the pumped storage power stations which are different from the general hydropower stations,a statistical model for the seepage is established based on the lag effect,which takes an hour as the unit and a day as the period.The lag factors are calculated by use of the method of genetic algorithm.The results show that the proposed model reflects the seepage with high precision.The seepage is mainly affected by the head of the upper reservoirs while the lag factors are significantly different at various locations.Accordingly,this model should be applicable to the pumped storage power stations.

关 键 词：抽水蓄能电站 滞后效应 渗流统计模型 渗流量 

分 类 号：TV[水利工程]