摘要
以耗电量最小为目标函数,排量、压力等限制为约束条件,建立了复杂注水系统泵站优化调度数学模型。针对系统运行特点,采用改进遗传算法对模型进行求解,同时优化出泵的运行状态和排量。改进遗传算法采用实数编码,并设计了随机多父辈交叉方法,改进了变异操作,操作过程中,给出了泵排量的处理方法,使各水量约束条件得到满足,大大减少了不可行解的产生,使算法的优化性能得到了提高。算例说明了该优化方法的有效性。
The optimal dispatch model for pumping stations of complex water injection system is established, in which the minimum electric power consumption is taken as objective function, the restrictions to the displacement, pressure are taken as constraint conditions. Aiming at operational features of the system, the improved genetic algorithm is adopted for solving the mathematical model, and the running state and displacement of pumps are optimized simultaneously. In the improved genetic algorithm, real coding is a- dopted, the random multi-parent crossover is designed, the mutation method is improved, the methods for processing the displace- ment of pump are proposed, so the displacement restrictions are satisfied, the number of infeasible solutions is reduced, and the opti- mum performance of the algorithm is improved. Example shows that the algorithm is efficient.
出处
《节水灌溉》
北大核心
2009年第7期28-30,33,共4页
Water Saving Irrigation
基金
山东省自然科学基金资助项目(Y2007G48)
关键词
复杂注水系统
泵站
优化调度
改进遗传算法
complex water injection system
pumping station
optimal dispatch
improved genetic algorithm
作者简介
杨建军（1977-），男，博士后，讲师，从事系统工程优化及优化算法的研究工作。
