基于改进鲸鱼算法的三峡水电站经济运行模型及其应用

针对大型水电站厂内经济运行问题,以最小发电耗水量为目标建立经济运行模型,同时针对传统鲸鱼算法(WOA)寻优能力不足及易陷入局部最优的缺点,引入惯性权重、反向学习机制和摄动变异机制,改进了随机搜寻方式,以三峡水电站为实例,将改进鲸鱼算法(IWOA)运用到经济运行模型中,计算不同水头和不同负荷下的最低耗水量,并将结果与遗传算法(GA)和粒子群算法(PSO)进行对比。结果表明,IWOA寻优速度和寻优能力均优于GA、PSO、WOA。

Economic Operation Model of Three Gorges Hydropower Station Based on Improved Whale Algorithm and Its Application

Considering the minimum water consumption of power generation as goal, an economic operation model was established to solve the problem of Three Gorges hydropower station inner plant economical operation. Aiming at the drawbacks of the poor searching ability and easily falling into local optimum for the traditional whale algorithm (WOA), the improved whale algorithm (IWOA) was proposed by adding inertia weight, opposition based learning strategy and perturbation mutation strategy. The IWOA was used to solve the economic operation model. The minimum water consumption was calculated under different water heads and loads. Compared with GA and PSO, the result show that the IWOA is superior than GA, PSO and WOA.