Solution of wind turbine blade Doppler and its characteristic analysis. Issue 13 (4th December 2017)

• Record Type: Journal Article
• Authors: Tang, Bo; Zou, Fang; Sun, Ziang; Huang, Hansheng; Ye, Li
• Is Part Of: Journal of engineering. Volume 2017:Issue 13(2017)
• Page Start: 1347
• Page End: 1350
• Publication Date: 2017-12-04
• Subjects: wind power plants -- Doppler effect -- wind turbines -- electromagnetic wave scattering -- radar signal processing -- radar cross‐sections; radar target signal -- wind farm clutter suppression -- wind turbine blade Doppler -- Doppler effect -- wind turbine blades -- nearby radar stations -- accurate radar echo signal -- accurate Doppler spectrum -- dynamic radar cross section -- matured dynamic RCS exact solution techniques -- PO; Engineering -- Periodicals; Engineering; Electronic journals; Periodicals; 620.005
• DOI: 10.1049/joe.2017.0551
• Languages: English
• ISSNs: 2051-3305

Abstract

Abstract : The Doppler effect caused by the dynamic rotation of the wind turbine blades is an important evidence for the identification of the wind farm clutter at the nearby radar stations. Due to the difficulty in obtaining the accurate radar echo signal of wind turbine blades by the existing methods, the accurate Doppler spectrum cannot be obtained. For that reason, the problem of accurate simulation of radar echo for wind turbine blades is avoided, and a new idea is proposed to solve the Doppler spectrum by using the dynamic radar cross section (RCS) of the blade through the study of the mechanism of the Doppler effect. Based on the matured dynamic RCS exact solution techniques of electrically large size targets, the time‐domain RCS curve of blades in the dynamic motion state is obtained with the quasi‐static method, using the hybrid algorithm of physical optics (PO) method and of equivalent currents method. Based on this method, calculation and analysis of the wind turbine blades' Doppler characteristics in the rotation, torque conditions provide a reference for the recognition of radar target signal of the wind turbine, the reduction of RCS, and wind farm clutter suppression of the nearby radars.