摘要
解决水电站厂内经济运行的最优负荷分配问题是提高水电站运行效率的重要方向之一,将狼群算法引进到解决最优负荷分配问题中,并运用在三峡水电站厂内经济运行的实例中,与遗传算法和粒子群算法等得出的结果做了比较,结果证明该种智能算法在全局收敛性和局部收敛性上有一定的优势,可以运用于求解最优负荷分配的问题。
The solution of optimal load dispatching problem in economical operation of hydropower plant is one of important direction for improving the efficiency of hydropower station. The Wolf Pack Search Algorithm is introduced herein to solve the distribution problem of optimal load. The method is used in the study of economical operation of Three Gorges Hydropower Station and the results are compared with that of Genetic Algorithm and Particle Swarm Optimization. The comparisons prove that new algorithm has certain advantages on global convergence and local convergence and can be applied to solve optimal load distribution.
出处
《水力发电》
北大核心
2017年第2期81-84,共4页
Water Power
基金
国家重点基础研究发展计划(973计划)(2012CB417006)
"十一五"国家科技支撑计划(2009BAC56B03)
关键词
狼群算法
厂内经济运行
最优负荷分配
水电站
wolf pack search algorithm
economical operation of hydropower plant
optimal load dispatching
hydropower station
作者简介
周向华（1992-），女，湖北潜江人，硕士研究生，研究方向为水文学及水资源.
