摘要
以给水调度系统的能源费用为目标函数,在给出24 h用水量预报、供水泵站的机组配置、水库初始和最终水位、电费价格和给水管网的水力学约束条件下,通过引入改进混合遗传算法优化方法对该系统模型进行优化调度,以追求能量费用最小的运行状态.同时,该模型还给出了泵站运行时水泵机组的优化组合.通过算例证明了该模型方法的有效性.
The model of water-supply networks is optimized by improved hybrid genetic algorithms in pursuit of the state of lowest energy expenses under the restricted conditions of 24 hours＇ forecasting for water consumption, the set of the pump stations, the first and final levels of reservoirs, electricity charges and hydraulic conditions of the networks. Meanwhile, the optimal scheduling of the pumps in periodic operation is also obtained in this paper. And the validity of that algorithm is verified fully in following field simulation.
出处
《同济大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2006年第3期377-381,共5页
Journal of Tongji University:Natural Science
关键词
给水管网
优化调度
改进混合遗传算法
能源费用
泵站
water distribution network
optimal scheduling
improved hybrid genetic algorithm
energy expense
pump station
