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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 extensive construction of domestic pumped storage power stations, the analysis of the prototype observation data such as seepage flow can reveal the status of “internal and external water infiltration” possibly originating from the water conveyance system. Different from conventional hydropower stations, a statistical model of seepage with daily variation period and hour as unit of calculation and lag effect is established and the hysteresis factor is solved by genetic algorithm. The calculation example shows that the model has good fitting accuracy. The seepage flow of different measuring points in the area is mainly affected by the water level factor of the upper reservoir, but the lagging factor has significant difference. Therefore, this model has strong practical significance.