Simulation and analysis of wind turbine radar echo based on 3-D scattering point model
Simulation and analysis of wind turbine radar echo based on 3-D scattering point model
Wind turbine (WT) arrays in wind farms can cause serious interference on nearby radar stations. Thisinterference could be filtered out if wind turbine radar echo (WTRE) can be obtained accurately. Considering thesingleness of in-field experiments, numerical simulation became the majority among such works, but few of them reachednecessary accuracy. Therefore, we propose a solution method of WTRE based on three-dimensional (3-D) scatteringpoint model. Firstly, we use the nonuniform rational B-spline to build the 3-D model of WT. Secondly, based on themethod of moments (MoM), the Rao-Wilton-Gisson (RWG) basis function is adopted to discretize the integral areaof WTRE into triangular elements, which ensures the continuity of induced current on the surface of WT. Taking thecenters of triangular elements as scattering point source, we obtain the 3-D point scattering model of WT, which isthen used to derive the echo equation of WT and eventually time-frequency domain waveform of WTRE. The resultpresents high accuracy comparing with the traditional method and scaled model experiments in an anechoic chamber.Further analysis indicates that the proposed method can be used to estimate important parameters of an operating WTaccurately.
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- [1] Dai XM, Zhang KF, Geng J, Liu QQ, Wang Y et al. Study on variability smoothing benefits of wind farm cluster.
Turkish Journal of Electrical Engineering and Computer Sciences 2018; 26(04): 1894-1908.
- [2] Abdullah MA, Muttaqi KM, Sutanto D, Agalgaonkar AP. An effective power dispatch control strategy to improve
generation schedulability and supply reliability of a wind farm using a battery energy storage system. IEEE
Transactions on Sustainable Energy 2015; 6(3): 1093-1102.
- [3] Ashraf MM, Malik TN. Design of a three-phase multistage axial ux permanent magnet generator for wind turbine
applications. Turkish Journal of Electrical Engineering and Computer Sciences 2017; 25(01): 520-538.
- [4] David DLV, Matthews J, Norin L, Angulo I. Mitigation techniques to reduce the impact of wind turbines on radar
services. energies 2013; 6(06): 2859-2873.
- [5] Yamazaki H, Koshiji K. Radar cross-section measurement method using a spatial filtering within a near zone. IEEJ
Transactions on Electrical and Electronic Engineering 2009; 4(01): 107-113.
- [6] Rashid L, Brown A. Partial treatment of wind turbine blades with radar absorbing materials (RAM) for RCS
reduction. In: Proceedings of the Fourth European Conference on Antennas and Propagation; Barcelona, Spain;
2010. pp. 1-5.
- [7] Tang B, Zou F, Sun ZA, Huang HS, Ye L. Solution of wind turbine blade Doppler and its characteristic analysis.
The Journal of Engineering 2017; 2017(13): 1347-1350.
- [8] Naqvi A, Yang ST, Ling H. Investigation of Doppler features from wind turbine scattering. IEEE Antennas and
Wireless Propagation Letters 2010; 9(01): 485-488.
- [9] Kong F, Zhang T, Palmer RD. Wind turbine radar interference studies by polarimetric measurements of a scaled
model. IEEE Transactions on Aerospace and Electronics Systems 2013; 49(03): 1589-1600.
- [10] Jung JH, Lee U, Kim SH, Park SH. Micro-doppler analysis of Korean offshore wind turbine on the L-band radar.
Progress in Electromagnetics Research 2013; 143(01): 87-104.
- [11] He WK, Guo SS, Wang XL, Wu RB. Micro-doppler features analysis of wind farm echoes for air traffic control
radar in scanning mode. Journal of Signal Processing 2015; 31(10): 1240-1246.
- [12] Chen VC. The Micro-Doppler Effect in Radar. Boston, MA, USA: Artech House, 2011.
- [13] Algar MJ, Somolinos A, Moreno J. Overview of some numerical techniques for the analysis of the electromagnetic
scattering by wind turbines. 2016 10th European Conference on Antennas and Propagation 2016; 1: 1-5.
- [14] Crespo-Ballesteros M, Antoniou M, Cherniakov M. Wind turbine blade radar signatures in the near field: modeling
and experimental confirmation. IEEE Transactions on Aerospace and Electronic Systems 2017; 53(04): 1916-1931.
- [15] Tang B, Wen YF, Zhao ZB, Zhang XW. Computation model of the reradiation interference protecting distance
between radio station and UHV power lines. IEEE Transactions on Power Delivery 2011; 26(02): 1092-1100.
- [16] Bazilevs Y, Korobenko A, Deng XW Yan JH. Novel structural modeling and mesh moving techniques for advanced
fluid-structure interaction simulation of wind turbines. International Journal for Numerical Methods in Engineering
2015; 102(03): 766-783.
- [17] He WK, Guo SS, Wang XL, Wu RB. Frequency fretting feature extraction of wind farm based on singular value
decomposition. Journal of Electronic Measurement and Instrument 2017; 31(04): 588-595.
- [18] He WK, Zhai QP, Wang XL, Wu RB. Detection and suppression of wind farm clutter in scanning mode air traffic
surveillance radar. Acta Aeronautica Sinica 2016; 37(04): 1316-1326.