摘要
为实现水泵节能降耗的目标,进行了JY市供水系统水泵优化调度的研究。在供水管网微观模型和水泵曲线测定的基础上,依据管网和水厂泵站两个子系统的直接优化调度模式,在满足用户对水量、水压要求的约束条件下,以泵站的电耗最小为目标,建立了多水源供水系统的直接优化调度模型,并运用遗传算法进行求解,确定了JY市两个水厂联合调度的水泵最优组合方案。研究结果表明,在优化调度方案的指导下能够明显降低泵站输水电耗,千吨水电耗相比降低了约3.93%,表明所建立的优化调度模式、调度模型和优化求解方法是可行的。
In order to achieve energy saving and consumption reduction, the optimal scheduling of pumps for the water supply system in JY city was studied. Based on the microcosmic model of water distribution network and the pump characteristic curve, the direct optimal scheduling model of multi-source water supply system was established according to the direct optimal scheduling mode of two subsystems for water supply network and waterworks pump station, under the constraint condition of meeting the require- ments of consumers for water volume and pressure and with the objective of minimizing the electric consumption of pump station. This model was solved by the genetic algorithm. The optimal combination scheme of pumps for jointly scheduling two waterworks in JY city was determined. The research results show that the optimal scheduling scheme can significantly reduce the pump energy consumption, with reduction of 3.93% electric energy per thousand tons of water supply. It proves that the optimal scheduling mode, the optimal scheduling model and the optimal solution are feasible.
出处
《中国给水排水》
CAS
CSCD
北大核心
2012年第1期35-38,共4页
China Water & Wastewater
关键词
多水源供水系统
给水管网模型
水泵曲线
直接优化调度
遗传算法
multi-source water supply system
model of water distribution network
characteristic curve
direct optimal scheduling
genetic algorithm