基于混合蛙跳算法的供水管网减压阀优化控制模型研究

Research on the optimal control model of pressure reducing valve in water supply network based on shuffled frog leaping algorithm

为有效实施压力管理策略,建立以最小化管网节点富余压力、最小化管网漏失量为目标的减压阀优化控制模型,设计混合蛙跳算法求解减压阀最优安装位置及压力设置值。算法比较表明:采用混合蛙跳算法求解模型,其收敛速度较遗传算法提高19.6%,较粒子群算法提高39.3%。混合蛙跳算法在计算效率、算法稳定性和计算有效性方面均有较强优势。利用模型优化案例管网的压力控制策略,优化后管网平均压力下降了10.04%,漏失量和漏失率分别下降了41.52%和11.69%。

To reduce the leakage of urban water supply network with the pressure management strategy,the optimal control model of pressure reducing valve was built to minimize surplus pressure and leakage.Shuffled Frog Leaping Algorithm was designed to solve the model.The locations and pressure settings of valves were obtained.Shuffled Frog Leaping Algorithm,Genetic Algorithm and Particle Swarm Optimization Algorithm were applied to a specific network.The results showed that Shuffled Frog Leaping Algorithm had better performance than the other two algorithms.The convergence speed of Shuffled Frog Leaping Algorithm increased by 19.6%than Genetic Algorithm and 39.3%than Particle Swarm Optimization Algorithm.The model based on Shuffled Frog Leaping Algorithm has advantages in computational efficiency,algorithm stability and effectiveness.The model was applied to a practical engineering case.After optimization,the average pressure of the network decreased by 10.04%.The leakage volume and leakage rate decreased by 41.52%and 11.69%respectively.