基于遗传算法的转桨式水轮机模型参数辨识

为准确测试转桨式水轮机参数,提出了一种转桨式水轮机数学模型的新表述方法,并探讨了基于遗传算法对新表述数学模型的参数辨识。算例与实际电站参数辨识结果表明,采用辨识参数的模型输出结果与现场实测数据(样本数据)具有较好的一致性,验证了该方法的正确性及在工程实际应用中的可行性,为转桨式水轮机模型参数辨识提供了一种新方法。

Parameters Identification of Kaplan Turbine Model Based on Genetic Algorithm

In order to accurately test the parameters of the Kaplan turbine, a new mathematical model expression method was presented in this paper. The parameter identification of the mathematical model is discussed based on genetic algorithm. The identification results show that the output of the model with identification parameters is in good agreement with the measured data (sample data). The correctness of the method and the feasibility in practical application were verified. Thus, it provides a new method for parameter identification of Kaplan turbine.