泵站群控系统的节能优化调度研究

发布时间：2018-11-27 09:34

【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。
[Abstract]:It is necessary to adjust the flow head according to different requirements in the operation of the actual pump station. The operation efficiency of the pump station is low due to the unreasonable combination of the constant speed pump and the speed regulating pump in the pumping station. In order to solve this problem, a mathematical model for optimal operation of pump station is established by taking the minimum total power of pump station as the objective function, the constraint of water supply index, the water supply capacity of single pump and the speed ratio of speed regulating pump as the constraint conditions. The artificial bee colony algorithm is used to determine the number of pumps running in parallel, the speed ratio of the speed regulating pump and the distribution of the flow rate of each pump, so as to realize the optimal operation of the pump station. According to the actual requirements of a pumping station, the optimal operation scheme is obtained, and the applicability of artificial bee colony algorithm and standard genetic algorithm in the optimal operation of pumping station is compared and analyzed. The results show that the artificial bee colony algorithm has better calculation results, faster convergence speed and less computation time, which indicates that the algorithm has higher practical value in the optimal operation of pumping stations and the similar fields.
【作者单位】：太原理工大学信息工程学院;
【基金】：国家自然科学基金资助项目“改善电液伺服系统动态特性的双自由度回路原理及控制方法”(51075291)
【分类号】：TV675;TP18

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