基于粒子群算法的灌溉水泵系统优化设计与运行

Optimization Design and Operation of Irrigation Water Pump System Based on Particle Swarm Optimization Algorithm

文章提出了一种相对较新的用于灌溉抽水系统优化设计和运行的管理模式。该管理模式利用粒子群优算法化建立并求解了一个两步优化模型。新提出的模型通过对所有可行的泵机组组合进行详尽的枚举搜索后,在所需时间段内处理给定的需求曲线,然后调用粒子群优化算法搜索每个集合的最优解。在优化机组的运行问题后,计算所有机组的运行总成本和初始投资折旧,确定最优的机组组合,并制定相应的运行策略。研究将所提出的模型用于实际泵站系统的设计和运行后,将结果与优化算法的结果进行比较。结果表明,所提出的模式与粒子群优化算法相结合是一种用于实际灌溉泵系统设计和运行的通用管理模型。

A relatively new management model for the optimal design and operation of irrigation pumping system are proposed in this paper. In this management model, a two-step optimization model is established and solved by particle swarm optimization algorithm.The proposed model in the paper deals with the given demand curve in the required time after exhaustive enumeration search of all feasible pump combinations. And then calls the particle swarm optimization algorithm to search for the optimal solution for each set.After optimizing the operating problems of the units, calculate the total operating cost and initial investment determine the optimal unit combination, and formulate the corresponding operation strategy. After the proposed model is applied to the design and operation of a pumping station system, the results are compared with those of the optimization algorithm. The results show that the proposed model combined with particle swarm optimization algorithm is a general management model for practical irrigation pump system design and operation.