North China Electric Power University
In the operation optimization of cascade hydropower reservoirs, it is a usually simplified way that neglecting time-lags of flow routing and regarding the upstream reservoir outflow as the downstream reservoir inflow, which have an impact on accuracy of operation scheme when time-lag is big enough. In order to reduce the effect of time-lags of flow routing, firstly, the relationship between upstream reservoir outflow, local inflow, downstream reservoir water level and downstream reservoir inflow is quantized based on the principle of linear space. Secondly, the artificial neural network, Kmeans and Relief methods in date mining are comprehensively applied to solve and determine the mapping relationship. And then, a short-term generation optimization model of cascade hydropower reservoirs considering time-lags of flow routing is established. Finally, to verify the feasibility and effectiveness of the model, it is applied to solve the operation optimization of cascade hydropower reservoirs in Yalong River, and the results show that the established model can considerably improve the accuracy of short-term optimal operation plan. So it can give full play to the utilization efficiency of water resources, and provide reference for actual operation.
ZHANG Yanke,LIU Yuan,JI Changming,et al.Short-term Generation Optimization Dispatch of Cascade Hydropower Station Reservoirs Considering Time-lag of Water Flow[J/OL].Automation of Electric Power Systems,http://doi.org/10.7500/AEPS20190411007.