嵌套型遗传算法的海水淡化系统优化调度研究

Research on Optimal Scheduling of Desalination System Based onNested Genetic Algorithm

提出了一种多目标的海水淡化系统优化调度研究策略,进而采用嵌套型遗传算法进行求解。通过理论分析和仿真验证,认为考虑海水淡化设备的优化配置,建立多目标规划模型,考虑可行的最小设备配置,并在此基础上进行调度优化,可实现对各蓄水池总容量、各个时间段总供水量以及运行费用降到最低要求。而利用嵌套型遗传算法进行求解,分别对蓄水池组合、机组启停向量以及供水向量三组决策变量进行分步串行搜索,可有效增强算法的搜索能力,找到可行的最优解。仿真结果表明,所提出的多目标规划模型能够实现系统经济、高效、安全运行。

A multi-objective optimal scheduling strategy for seawater desalination system is proposed,and the nested genetic algorithm is used to solve it.Based on theoretical analysis and simulation verification,the optimal configuration of seawater desalination equipmentis given by the construction of multi-objective planning model and feasible minimum configuration of equipment,on which the scheduling optimization is carried out.The optimal configuration can meet the requirements of total capacity of each reservoir,the total water supply in each period,and the minimum operating cost.The nested procedural genetic algorithm is employed to conduct sub-step serial search on three decision variables consisting of reservoir combination,unit start-stop vector and water supply vector,so as to effectively enhance the searching ability of the algorithm and to find the feasible optimal solution.The simulation results show that the proposed multi-objective programming model can realize the economic,efficient and safe operation of the system.