变尺度混沌蜂群算法在梯级库群优化调度中的应用.doc

文档介绍：
变尺度混沌蜂群算法在梯级库群优化调度
中的应用#
张德发,周建中,卢鹏,莫莉**
5
10
(华中科技大学水电与数字化工程学院,湖北武汉 430074)
摘要:针对流域梯级水电站长期优化调度模型存在高维、非凸、非线性等特点,提出一种改
进的变尺度混沌蜂群算法(VCBA),通过引入混沌方程和余弦收缩策略,使其具有更强
的全局收敛能力和更快的收敛速度。以丰枯分时电价下金沙江下游梯级水电站群长期优化
调度作为工程背景进行实例研究,并将计算结果与基本蜂群算法(BA)和 PSO 算法进行比
较。研究表明,VCBA 求解梯级水电站长期优化调度问题收敛速度快且优化结果精度较
高,满足实际优化运行需求,具有很高的工程应用价值。
关键词:梯级水电站;优化调度;蜂群算法;混沌方程;余弦收缩
中图分类号:
15
Application of Mutative Scale Chaos Bee Colony Algorithm
In the Optimal Schedule of the Cascade Reservoirs
ZHANG Defa, ZHOU Jianzhong, LU Peng, MO Li
(School of Hydropower and Information Engineering,Huazhong University of Science and
20
25
30
35
40
Technology,Wuhan 430074,China)
Abstract: According to Long-term optimal scheduling model of cascade hydropower stations has
the characteristics of high dimension, non-convex, nonlinear and so on, the author proposed an
improved mutative scale chaos bee colony algorithm (VCBA). By introducing chaos equation and
cosine contraction strategy, this paper make its global convergence ability is stronger and
convergence rate is faster. Making the long-term optimal schedule of cascade hydropower station
group in the lower reaches of Jinsha River considering time-of-use electricity price as the
engineering background, this paper did a case study pared the result with the basic bee
colony algorithm (BA) and PSO algorithm. Research shows that using VCBA to