人工鱼群算法与离散微分动态规划结合在水库优化调度中的应用

Application of the Combination of AFSA and DDDP to Reservoir Optimal Operation

人工鱼群算法(AFSA)具有快速收敛到最优解附近的能力,建立人工鱼群系统模拟水库优化调度,将其所得到的解作为离散微分动态规划(DDDP)算法的初始试验轨迹,通过DDDP再次寻优,可以获得更优更稳定的解,试验证明鱼群算法与离散微分结合应用于水库优化调度的有效性。

The artificial fish swarm algorithm （AFSA） can be used to find the optimal object quickly, establish the AFSA system to simulate optimal reservoir operation, and select the optimal result to initialize the DDDP＇s test track. Though DDDP ＇s optimization, more optimized and steady result is obtained. It is proved that the application of the combination of AFSA and DDDP to reservoir optimal operation is effective.