A reservoir inflow correction method based on the moving average algorithm with auto-adaptive weights
LI Kuang1,2, LIU Jun3, ZHANG Ziping4, MA Anguo4, LIU Wenbing5
1. China Institute of Water Resources and Hydropower Research, Beijing 100038; 2. Research Center on Flood & Drought Disaster Reduction of the Ministry of Water Resources, Beijing 100038; 3. Powerchina ZhongNan Engineering Co., Ltd., Changsha 410014; 4. Hubei Qingjiang Hydropower Development Co., Ltd., Yichang 443000; 5. Guangxi Youjiang Water Resources Development Co., Ltd., Nanning 530029
Abstract：This paper proposes a new method to correct the reservoir inflow. The method is based on the moving average algorithm and the weights of the algorithm are auto-adaptive to reservoir inflow. The correction process includes three steps. Firstly, the moving average algorithm with adaptive weights is used to correct the reservoir inflow and to make it more smooth, then the corrected inflow is properly modified to meet the water balance, and finally the result is modified again according to the inflow variation and other constraints. The method in this paper is compared with the moving average algorithm and the cubical smoothing algorithm with five-point approximation. The results show that the method has a better effect on flood peak correction and is able to ensure water balance, and the correction smoothness is similar to that of the cubical smoothing algorithm with five-point approximation.
李匡, 柳俊, 张子平, 马安国, 柳文兵. 基于自适应权重的滑动平均入库流量修正方法[J]. 中国防汛抗旱, 2021, 31(5): 20-24.
LI Kuang, LIU Jun, ZHANG Ziping, MA Anguo, LIU Wenbing. A reservoir inflow correction method based on the moving average algorithm with auto-adaptive weights. journal1, 2021, 31(5): 20-24.
2021, Vol. 31 
