A Method for Obtaining Real Power Curve of Wind Turbine Considering Wind Turbulence Intensity

Abstract

The invention discloses a fan real power curve acquiring method based on considering of wind turbulence strength. The method is based on real-time running data of a fan data acquisition and supervisory control (SCADA) system including wind speed, active power, wind turbulence strength, environment temperature, environment air pressure and the like, on the basis of air density correction, fan power data are corrected to the same wind turbulence strength for research; data are divided according to a certain wind speed interval and a central point is calculated, a main guide point which is usedfor power curve fitting is selected from the central point further, and finally, a final power curve is obtained on the basis of fitting of least-square B spline fitting algorithm. By a main guide point selecting rule, the complexity of a model is simplified, and by the least-square B spline fitting algorithm, the curve smoothness and the modeling precision are ensured. The method is based on datadrive, special requirements for fan data do not exist, and the universality is high. Compared with the prior art, the fan real power curve acquiring method based on considering of wind turbulence strength has the advantages that smoothness and accuracy of a curve are considered, and the theoretical property and the applicability are high.

Description

technical field [0001] The invention relates to an algorithm for obtaining the real power curve of a fan, in particular to a method for obtaining the real power curve of a fan considering the strength of wind turbulence. Background technique [0002] In a modern society where traditional fossil energy resources are scarce and seriously polluted, wind energy is widely favored by the public as a pollution-free and renewable new energy source, and the wind power industry has thus become one of the new renewable energy industries that are vigorously developed at home and abroad. . In my country, the construction of wind farms and related research work have significantly improved both in terms of quantity and quality in the past ten years. a series of negative factors. During the use of wind turbines today, due to the intermittent and highly uncertain characteristics of wind speed, it has a great impact on the performance evaluation of wind turbines themselves, and the correct p...

AI Technical Summary

Problems solved by technology

[0004] (1) The standard procedure for power correction under different wind turbulence intensities is not considered in the traditional power curve acquisition method;

[0005] (2) The traditional power curve modeling method cannot take into account the smoothness and mechanism characteristics of the curve, and cannot provide reliable and effective data support for turbulence intensity correction

[0006] Therefore, the existing power curve acquisition technology does not fully consider the unity of the data set and the reliability and authenticity of the curve during the fitting process of the power curve, and needs to be improved through a standardized process

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