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Derived Storage Allocation Rules to Meet Shared Water Demands for Optimal Operation of an Inter-basin Multi-reservoir Water Supply System

The priority principle of storage allocation rules of serial cascade
reservoirs within an inter-basin water supply can reduce water loss and
reduce water supply times. Reasonable balancing curves for reservoirs in
parallel are proposed and the proportional distribution of water is
determined to illustrate the optimal allocation rule for different
scheduling periods of reservoirs. The mutation point and slope are used
to describe the segmentation of reservoirs in parallel. In addition, the
optimization model is established with the objective function to
minimize times of water shortage while the particle swarm optimization
algorithm based on the immune evolutionary algorithm is applied to
calibrate the balancing curves. Finally, the relative optimal water
supply rule is obtained, providing a larger water supply capacity and
higher storage synchronization of member reservoirs. The reservoir
groups downstream of Luan River are used as an example, with the results
showing that the suggested method can effectively improve the
operational performance and meet shared water demands in an inter-basin
multi-reservoir. This article highlights the superior results obtained
compared to the current storage allocation rules to meet shared water
demands.