基于变尺度混沌粒子群算法的梯级水电站水库优化调度研究

将混沌和变尺度思想引入粒子群算法中,提出一种变尺度混沌粒子群算法,并将其应用于梯级水电站水库优化调度中.该算法采用混沌初始化粒子的位置和速度；再利用混沌提高了种群的多样性和粒子搜索的遍历性；最后采用变尺度思想,根据搜索进程不断缩小优化变量的搜索空间,来改善PSO算法摆脱局部极值点的能力,提高算法的全局优化能力.计算结果...

Optimal Operation of Cascade Hydropower Stations Based on Mutative Scale Chaos Particle Swarm Optimization Algorithm

The thought of mutative scale and chaos is taken into the particle swarm optimization, and MSCPSO is proposed, which is applied in the cascade hydropower station reservoir optimal regulation. First, the position and the speed of granules are initialized using chaos. Then, population＇s multiplicity and the granule search ergodicity are enhanced again with the chaos thought. Finally, the search space of optimized variable is reduced unceasingly according to the search process using the mutative scale thought, which can improve ability of the PSO algorithm to get rid of the partial extreme point, and enhance the ability of global optimization. The computed result shows that, MSCPSO has highly accurate solution, which can solve the nonlinear problem of cascade hydropower station reservoir optima/regulation with the complex constraints.