Title :
Performance analysis of lidar for smart wind turbines
Author :
Liu, Xian ; Wu, Hsiao-Chun
Author_Institution :
Department of Systems Engineering, University of Arkansas at Little Rock, USA
Abstract :
In the technology of smart wind turbine, one of the fundamental requirements is the availability of real-time data of wind speed. The lidar anemometry has several advantages over the conventional ones, especially in the remote marine environment. Thus it may become an important component in the future offshore wind farms. Toward practical applications, the impact of atmospheric interference on optical signals must be well understood first. In this paper, the performance of a generic lidar subject to turbulence and fog is investigated. Several closed-form metrics for evaluating performance are derived. Numerical examples are presented.
Keywords :
Fading; Integrated optics; Laser radar; Optical refraction; Signal to noise ratio; Smart grids; Wind turbines; Fading channels; lidar; smart grid; smart wind turbine; wind power;
Conference_Titel :
Communications (ICC), 2015 IEEE International Conference on
Conference_Location :
London, United Kingdom
DOI :
10.1109/ICC.2015.7248413