Research On Dynamic Optimization Scheduling Of Reverse Osmosis Seawater Desalination Project

The shortage of fresh water has become one of the important factors restricting the development of the global economy.The widespread application of reverse osmosis seawater desalination(SWRO)technology has effectively alleviated the troublesome of insufficient fresh water resources in coastal areas and has attracted more and more attention.However,the water production cost of the SWRO project is relatively high,and the huge energy consumption is always the main bottleneck restricting its development and application.How to rationally formulate the water production plan of each unit in the SWRO desalination project through production scheduling,to improve the utilization rate of each equipment in the system,realize the energy saving and consumption reduction of the system,and effectively reduce the cost of water production,becoming a new research hotspot.In this paper,the whole process of SWRO desalination project is studied,and the dynamic scheduling problem of the system is studied.Firstly,the whole process of SWRO is analyzed,which is divided into four main parts: flocculation and sedimentation,mechanical filtration,reverse osmosis and post-treatment of water.In addition,the operational model and the economic model of each unit is established based on the mechanism and identification methods.Then the entire process model is integrated to establish a full-process total cost model.Secondly,aiming at the uncertainty of process parameters,under the demand of real users,a robust scheduling problem model based on chance constrained programming model,which using minimum water consumption cost of the whole process as the optimization goal,and the design conditions and operating conditions as the constraints,are established.This model uses the evaluation index as robust specification.In consideration of the deficiencies of the harmony search algorithm,which is too dependent on setting parameters and easy to fall into local optimum,combined with adaptive particle swarm optimization,an adaptive particle swarm harmony search(PHS)algorithm and improved genetic algorithm are proposed to solve the scheduling problem.The simulation results show that the PHS algorithm solves the dynamic scheduling problem of SWRO system effectively,and the solution speed and the quality of the optimization solution are obviously improved.The solution result reduces the water production cost of SWRO project.Thirdly,the whole process dynamic full rescheduling problem of SWRO system under some sudden unit breakdown is studied.A dynamic optimal scheduling model with multi-objective of water production cost and rescheduling deviation is proposed.Under the given constraints,the above-mentioned multi-objective model is solved by using the Normal Boundary Intersection(NBI)method and the adaptive particle swarm harmony search(PHS)algorithm.The simulation results show that the NBI-PHS algorithm can effectively solve the multi-objective dynamic rescheduling optimization problem of SWRO desalination process,and the compromise solution obtained takes into account the water production cost and deviation index.Finally,the full text is summarized,and the research direction of the subject is pointed out.