Effective wind speed estimation method of high wind speed section of wind turbine generator system based on SVR

Abstract

The invention discloses an effective wind speed estimation method of a high wind speed section of a wind turbine generator system based on SVR. The method comprises two steps of SVR model training and online model use. In the SVR model training process, a sensor is used for obtaining a training characteristic set and a target set; the characteristic set is normalized to obtain a SVR training set; a GA algorithm is used for selecting a penalty parameter and a nuclear function parameter to obtain a trained SVR model; and in the online model use process, output data of an unit is obtained for normalization to input in the trained SVR model to pass through a low-pass filter to obtain a final effective wind speed estimation value. The method reasonably uses the output data of the unit, can perform effective wind speed estimation for a wind turbine generator at the high wind speed section, is simple in design process and liable to actuate, and can replace a LIDAR wind measurement device; and the obtained effective wind speed estimation value can be used for providing feedforward control information and wind power field wind resource estimation for reduction of the mechanical load of the unit, so that the economic benefit of a wind power field is improved.

Description

technical field [0001] The invention relates to the technical field of control of wind power generators, in particular to effective wind speed estimation in high wind speed sections of wind power generators. Background technique [0002] Wind energy is a clean, low-cost renewable energy with great commercial potential. Wind power technology has developed by leaps and bounds in recent years. The World Wind Energy Association pointed out in the 2015 World Wind Energy Report that by 2020, the global installed capacity of wind power will reach 792.1GW. However, the development of wind power technology still faces challenges such as high operation and maintenance costs of large-scale units, excessive mechanical loads leading to reduced unit life, and difficulty in large-scale wind power grid integration. Therefore, it is of great practical significance to develop a method for estimating the effective wind speed of wind turbines to provide feed-forward control information for red...

AI Technical Summary

Problems solved by technology

[0006] In order to make reasonable use of the output data of wind turbines and solve the problem that the existing wind turbine wind speed estimation method has large estimation errors and cannot be applied to the high wind speed operation stage of the wind turbine, the present invention provides a method for high wind speed segments that does not require the use of system mathematical models, The simple and easy effective wind speed estimation method for wind turbines can accurately establish the nonlinear relationship between the output data of the wind turbine and the effective wind speed, and the obtained effective wind speed estimate can provide feed-forward control information for reducing the mechanical load of the wind turbine. Wind resource assessment applicable to wind farms

Images