摘要
基于粒子群算法,构建了太子河水量优化调度模型,用于解决太子河水量优化调度的问题。应用结果表明,通过采用该模型对观音阁与葠窝两座水库的库容进行优化,提高了两座水库分别对本溪市与辽阳市的总供水量,由调度前的83 131万m3增加至101 052万m3,两市综合供水保证率提高了17.1%,解决了两市综合供水保证率低的问题。运用该方法可有效地提高太子河水量优化调度问题的执行效率,计算结果合理可行,具有较高的灵活性和广泛的应用前景。
For resolving the optimal water dispatching of Taizi River, the optimal water dispatching model of Taizi River was built based on Particle Swarm Optimization （PSO） Algorithm. The applied results show that using the model, the storage of Guanyinge Reservoir and Shenwo Reservoir is optimized, the total water supply of Benxi City and Liaoyang City from the two reservoirs increases, the water supply increases to 101 052 × 104 m3 from 83 131 × 104 m3 before dispatching, the integrated water supply guarantee rate of two cities increases by 17.1% , the low water supply guarantee rate of two cities is improved, the execution efficiency of optimal water dispatching of Taizi River effectively increases after utilizing the method, and the results are reasonable and feasible, and the method has higher flexibility and wider implementation prospect.
出处
《华北水利水电大学学报（自然科学版）》
2016年第3期32-35,共4页
Journal of North China University of Water Resources and Electric Power：Natural Science Edition
基金
甘肃省科技支撑计划项目(144NKCD238)
关键词
水量优化调度
粒子群算法
太子河流域
optimal water dispatching
Particle Swarm Optimization Algorithm
Taizi River Basin
