拟梯度遗传算法在水电厂厂内经济运行中的应用

The Application of Quasi-Gradient Genetic Algorithm in the Economic Operation of Hydropower Plant

水电厂规模大、机组负荷水平高,需要实现负荷优化分配目标,帮助水电厂节省生产成本。因此,将对水电厂厂内经济运行情况进行研究,主要提出拟梯度遗传算法的应用,在分析已有研究成果的基础上,构建数学模型,利用拟梯度遗传算法完成相关分析工作。最后进行仿真算例分析,为实际应用提供参考。

The scale of hydropower plant is large and the load level of unit is high,so it is necessary to realize the goal of optimal load distribution and help hydropower plant save production cost.The economic operation of hydropower plant is studied,and the application of quasi-gradient genetic algorithm is put forward.On the basis of analyzing the existing research results,the mathematical model is constructed,and the quasi-gradient genetic algorithm is used to complete the correlation analysis.Finally,a simulation example is carried out to provide a reference for practical application.