基于智能算法的多水源泵站在线优化控制技术

Technology of online optimal operation for multi-source pump stations based on intellectualized algorithm

在供水系统实际运行过程中,调度人员往往根据实际需求,在当前水泵运行状态的基础上开启或关闭一台水泵,以调节管网中的压力和流量.人工经验的调度方式难以充分反映并结合管网中压力、流量的变化及实际需求,进而及时作出科学决策.针对此问题,提出了多水源泵站在线优化控制技术,建立了基于直接优化调度方法的在线优化控制模型,采用智能优化算法进行了求解,并确立了四项方案评价指标对在线优化控制方案进行评价.将所建立的模型,应用于南方城市供水系统在线优化控制中,验证了其实用性,并编制了相应的计算程序软件.

In the actual operation process of water supply system, based on the current pump status, another pump is always to be open or closed in order to regulate the pressure and flow according to the actual demand in the water supply network. The operation mode of artificial experience is difficult to reflect and integrate the pressure and flow rate changes as well as the actual demand in pipe network perfectly, and then makes scientific decisions promptly. In view of this problem, the online optimal operation technology of Multi-source pump stations based on safety water supply is proposed. First of all, the online optimal operation model is established and solved by genetic algorithm. Secondly, four indices are established to evaluate the optimal operation result. At last, the established model is applied to the online optimal operation of one southern urban water supply system practically, at the same time, the corresponding program is developed.