分散复杂多水源原水系统一级优化调度

First-class Optimization Operation of Distributed Complex Multi-source Raw Water System

珠海市汛期降雨充沛,水库集雨面积大,且各水库均是自流供水,合理分配各水库供水量,有效地利用降雨大这一有利条件是珠海水司汛期调度的一大重点.针对珠海市分散复杂多水源原水系统河库并存、库库连通和汛期多雨水的特点,建立了以取水泵站能耗最小、水库运行末水位偏离水库控制水位最小为目标的一级优化调度模型,通过遗传算法对模型进行求解,结果显示优化后的调度方案在满足实际调度需求的前提下,节能优势明显,而此模型的建立,也为分散复杂多水源原水系统的一级优化调度提供了一种新的思路.

Because of large rainfall and rainwater harvesting area of Zhuhai in flood season,a reasonable distribution of the reservoir water supply and an effective use of rainfall are key in raw water system operation.According to the coexistence of the river and reservoirs,and the connectivity of reservoirs in distributed complex multi-source raw water system,a mathematical model,which aims to minimize energy consumption for water pumping stations and diminish water level difference between reservoir operation level and control level,was built and solved by the genetic algorithm.The results show that with the optimized scheduling scheme,the actual scheduling results are realized,and the energy consumption decreases.