粒子群算法在密云水库供水优化配置中的应用

Application of particle swarm optimization in the optimal water allocation of Miyun Reservoir

作为华北地区最大的水库,密云水库是保障北京工业和生活用水的重要水源地。为了对密云水库供水进行优化配置,以不同用户用水需求为依据,以资源可持续效益指标为目标函数,建立了优化配置模型。针对建立的非线性约束优化模型,采用粒子群算法进行求解,得到了较好的水资源配置方案,为提高密云水库供水效益提供了技术支撑。为了验证粒子群算法的优越性,同时采用遗传算法进行比较,结果表明粒子群算法适用于密云水库供水优化配置模型。

As the biggest reservoir in North China,Miyun Reservoir is one of the major water sources to guarantee the water consumption for both life and industry in Beijing.On the basis of users＇ various demands,with the sustainable resource efficiency as the objective function,the optimization and allocation model of water resources in the Miyun Reservoir was developed.The particle swarm algorithm was used to solve the nonlinear constrained optimization model to obtain a good water resources allocation scheme,which can provide technical support to improve the supply water efficiency of Miyun Reservoir.In order to verify the superiority of particle swarm optimization,the results determined by the genetic algorithm were used for comparison.The results showed that particle swarm algorithm is proved to be an effective solution for the optimal water allocation of Miyun reservoir.