【摘要】 在实际泵站运行中需要根据不同要求调节流量扬程,由于泵站中定速泵和调速泵运行组合不合理,导致泵站运行效率低下。针对此问题,提出以泵站总功率最小为目标函数,以供水指标约束、单泵供水能力和调速泵的调速比为约束条件,建立了泵站优化运行数学模型。利用人工蜂群算法确定水泵并联运行的台数、调速泵的调速比及各泵流量的分配,实现泵站的优化运行。以某泵站实际要求进行计算,得出优化运行方案,比较并分析人工蜂群算法和标准遗传算法在泵站优化运行中的适用性。结果表明:人工蜂群算法的计算结果更优,收敛速度更快,计算用时更少,表明该算法在泵站优化运行及相近领域有较高的实用价值。更多还原

【Abstract】 Flow capacity-head should be tuned in the actual operation of pumping stations in order to meet different needs.However,the mismatching in running combination of constant-rate pumps and speed governing pumps may lead to the low operating efficiency of pumping stations.To solve this problem,a new mathematical model of optimizing operation of pumping stations in which the minimum total power of pumping stations as objective functions,total flow of pump groups,water supply capacity of single pump and speed regulation ratio of speed governing pumps as constraints is established.The operation numbers of the pumps in parallel,speed ratio of speed governing pump and flow distribution of flux of each pump were determined by utilizing artificial bee colony algorithm and optimizing operation of pump station was achieved.The protocol of optimizing operation obtained by calculating the optimal operation of certain pumping stations.The comparison of applicability between artificial bee colony algorithm and standard genetic algorithm in optimizing the operation of pumping stations was then performed.The results show that artificial bee colony algorithm value is better,the rate of convergence is faster and the computation of time is less,which demonstrates that the proposed algorithm possesses higher practical values in optimizing the operation and adjacent neighborhood of pumping stations.更多还原