A Rescheduling Approach for a Large-scale Reverse Osmosis Desalination Plant under Uncertain Fresh Water Demand

Abstract

Abstract The scheduling problem of a large-scale seawater reverse osmosis (SWRO) desalination plant is considered as a mixed-integer nonlinear programming problem (MINLP) over the time horizon. It is hard to find out the exact solution directly, especially when the working environment is changing. So, when the variables are changed, it is needed to find out a new scheduling plan quickly to meet the changes. In this paper, a rescheduling model of operational optimization of a large-scale SWRO is built, which is a bi-objective optimization with criterions of efficiency and stability. A rolling horizon approach (RHA) is used to make the solution meet the requirements of accuracy and rapidity. The framework of RHS is structured and a two-stage differential evolution (TSDE) algorithm is used to compute the solution. A simulation based on a real case with fluctuations in freshwater demand in Liuheng Seawater Desalination Plant in Zhejiang province was made, and the results show that the performance of the proposed algorithm is satisfied.