摘要
结合滨江山地城镇地形特征和管网分区特点,以泵站投资和年运行管理成本最小为目标函数,建立了滨江山地城镇给水管网中加压泵站设置位置的优化模型。克服了现有管网分区优化模型需要反复输入管网数据的缺点,将优化问题转化为非线性函数极值寻优问题,采用人工蜂群算法对模型求解。并以某工程实例验证,该模型和求解算法合理有效,可用于滨江山地城镇加压泵站设置位置的优化。
Based on terrain features of riverside and mountainous cites and division characteristics of water supply network,an optimization model for booster pump station location in pressured water supply network in riverside and mountainous cities was built up to minimize the pump station investment and annual operation cost.This model overcame the weak points of repetitious input of network data in current network division model.It turned the optimization solution into extreme solution for nonlinear functions and the artificial bee colony algorithm was used to figure out solution.An engineering project showed that this model and its algorithm were reasonable and availability,which could be used for the optimization of location of booster pump station in riverside and mountainous cities.
出处
《给水排水》
CSCD
北大核心
2016年第10期131-136,共6页
Water & Wastewater Engineering
关键词
滨江山地
给水管网
加压泵站
优化模型
人工蜂群算法
Riverside and mountainous area
Water supply network
Booster pump station
Optimization model
Artificial bee colony algorithm