考虑水流时滞的梯级水电站水库群短期发电优化调度

在梯级水电站水库群短期发电优化调度过程中,为了规避水流时滞的影响,基于线性空间原理,建立了上级水库的出库流量、区间入流、下库水位所构成的空间与下级水库的入库流量空间的映射函数,并综合应用数据挖掘中的人工神经网络、K-means和Relief方法对其进行求解,构建了考虑水流时滞的梯级水电站水库群短期发电优化调度模型。应用于雅砻江流域锦官电源组短期发电优化调度的算例分析表明,所建立的模型能够提高短期发电优化调度方案制作的精度。

Short-term Generation Optimization Dispatch of Cascade Hydropower Station Reservoirs Considering Time-lag of Water Flow

In order to reduce the impact of time-lag of water flow in the process of short-term generation optimization dispatch of cascade hydropower reservoirs, the mapping function between outflow of upstream reservoir, local inflow, water level and inflow of downstream reservoir is quantized based on the principle of linear space. Secondly, the artificial neural network, K-means and Relief methods in date mining are comprehensively applied to solve the mapping relationship. A short-term generation optimization dispatch model of cascade hydropower reservoirs considering time-lags of water flow is established. Finally, the analysis of case in the application of short-term generation optimization dispatch of Jinguan power package in Yalong River of China shows that, the established model could improve the accuracy of short-term generation dispatching plan.