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声雷达技术的高精度精细化测风的研究

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风力发电中,鉴于风能资源的不确定性,对风力发电场的精准测量和评估工作日益重要.文章阐述了风电场气象监测用声雷达的工作原理以及其核心部件——压电陶瓷换能器的成熟技术,利用BP神经网络模型进行拟合计算,并利用功率预测试验验证声学雷达的适用性.结果表明,在实际应用中,声雷达可替代传统测风塔进行风资源参数的测量,且声雷达在精细化测风领域中更具优势.
Research on High-precision and Refined Wind Measurement Using Acoustic Radar Technology
In wind power generation,due to the uncertainty of wind energy resources,it is increasingly important to accurately measure and evaluate wind power plants.This paper describes the working principle of acoustic radar for wind farm meteorological monitoring and the mature technology of its core component,piezoelectric ceramic transducer.BP neural network model is used for fitting calculation,and power prediction test is used to verify the applicability of acoustic radar.The results show that in practical application,acoustic radar can replace the traditional wind tower to measure wind resource parameters,and acoustic radar has more advantages in the field of fine wind measurement.

refined wind measurementacoustic radarleast squares methodbp neural network

李锦虎、王咸武、刘晨阳、唐彬

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华电福新柳州新能源有限公司,广西柳州 545000

精细化测风 声雷达 最小二乘法 BP神经网络

2024

电力系统装备
《机电商报》社

电力系统装备

影响因子:0.008
ISSN:1671-8992
年,卷(期):2024.(6)
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