风电场风参数感知方法现状与展望
Review and Expectation of Wind Parameter Sensing Method for Wind Farm
投稿时间:2017-06-30  修订日期:2018-07-08
DOI:10.11908/j.issn.0253-374x.2018.09.017     稿件编号:    中图分类号:TM614
 
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中文摘要
      从实测感知和预测感知技术两条技术路线概述了传统风电场风参数感知方法的技术特点,并从风参数获取的全面性、精确性、经济性、时间尺度及其应用模式等角度对比分析了传统方法的局限性.在分析风传播特性、风电场风电机组布置和通信特点及风电机组间运行数据关联性的基础上,提出了“实测关联共享预测校验”的风电场风速、风向、风密度等风参数复合感知新思路及架构,并讨论了尚需解决的关键问题,可为后续研究提供参考.
英文摘要
      This paper summarizes the technical characteristics of wind parameter sensing methods in the traditional wind farms from two perspectives: measured sensing and predictive sensing and analyzes the limitations of the traditional methods from the aspects of comprehensiveness, accuracy, economy, time scale, and application mode of wind parameters. Then, based on the analysis of wind propagation, layout, and communication characteristics of wind turbines , as well as the correlation of operation data among units, a new idea and framework for wind parameters, such as wind speed, wind direction, and wind density have been proposed for “measurement association share prediction verification”. Finally, the key issues that need to be resolved are discussed. It can provide reference for the follow up study.
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