Author(s): Liming Sun

Linked Author(s):

Keywords: Ensemble Inflow; Uncertainty; Robust optimization; Reservoir operation;

Abstract: This study developed a robust optimization (RO) model for reservoir operation and applied to the short-term operation of Qingshitan reservoir in the Lijiang River of China. Inflow to Qingshitan reservoir, the main source of uncertainty, is described by a set of inflow forecast, i.e., ensemble inflow. The ensemble inflow is obtained by using ensemble precipitation prediction as input of a precipitation-inflow model. A spectral optimization method (SOM) is used to reduce the dimension of the inflow uncertainty. The RO model controls the distribution of objective function with mean and variance while satisfying operational and physical constraints. The model is solved using genetic algorithm. The results show that RO improve the robustness of Qingshitan reservoir operation compared with the deterministic optimization model.

DOI: https://doi.org/10.3850/38WC092019-1257

Year: 2019