The research on scheduling of large-scale reverse osmosis desalination system

Optimal scheduling of large-scale reverse osmosis(SWRO) desalination system is a large-scale optimization problem with multi-variables and multi-constraints, the solving process is complicated. In this paper, the authors attempt to realize optimizing and scheduling of large-scale SWRO desalination system by branch and bound algorithm. Firstly, the water consumption in each period of one day was forecasted based on the historical consumption data. Secondly, an optimizing scheduling model with the minimum energy consumption cost as the target was developed based on the process technological requirements and period-based tariff policy of SWRO desalination system. Finally, the optimizing solution was made for the model by using branch and bound algorithm. It is indicated from the scheduling example of optimizing scheduling system of large-scale SWRO desalination system that the scheduling system can be used to realize optimizing scheduling successfully and reduce effectively the desalination cost.