| abstract |
The invention discloses a method for fitting a fan power curve based on a differential evolution parameter model. The method comprises the steps of aiming at data collected by a fan data collecting and monitoring system, and cleaning the data based on wind speed information; a five-parameter logistic model is established to fit the cleaned power curve data set, and the logistic parameter model has the characteristic of high similarity with a standard fan power curve, so that the accuracy of curve fitting is ensured; and identifying the parameters of the five-parameter logistic model by using a differential evolution algorithm for adaptively controlling parameter change, ensuring the smoothness of the fitting curve, and improving the fitting speed at the same time, thereby finally obtaining the five-parameter logistic model for fitting the power curve of the fan. The method is a parameter modeling method based on data, the data cleaning steps are complete, the selected parameter model takes the actual operation data characteristics and the standard fan power curve characteristics into consideration, and certain theoretical value and actual engineering significance are achieved. |