首页> 外文OA文献 >Desenvolvimento de software na plataforma NI-LabView para reconhecimento e identificação automática de parâmetros de controle de aerogeradores utilizando dados operacionais
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Desenvolvimento de software na plataforma NI-LabView para reconhecimento e identificação automática de parâmetros de controle de aerogeradores utilizando dados operacionais

机译:NI-LabView平台上的软件开发,可使用运行数据自动识别和识别风机控制参数

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摘要

Currently, in Brazil and worldwide deployment of central power generation from wind power grows exponentially, however, there is the difficulty in obtaining specific to simulation data (modeling) of the dynamic wind turbines behavior in wind farms to evaluate their impact on the operation of the electricity system that are interconnected. Under the pretext of preserving trade secrets and intellectual property, parameter values such as machine and control systems time constants, are often not available for the studies.Both at the stage of design and after performed the connection of wind farms, impact studies due to the dynamic behavior resulting from disturbances are necessary as requested by regulatory agencies and network operators for evaluation and confirmation of system operating conditions.This work aims to develop a software in NI LabVIEW® platform for recognition and automatic identification of wind turbines models parameters (here called SIPAR1.0) using operational data of a variable speed wind turbine with synchronous technology from the acquisition, processing and evaluation of data quality measuring equipment of electricity and anemometry. With discrete realization on time, and platform based on digital signal processor.
机译:当前,在巴西和全球范围内,利用风力发电的中央发电的部署呈指数增长,但是,很难获得风电场中动态风力涡轮机行为的特定于仿真数据(建模)的具体数据,以评估其对风力发电场运行的影响。相互连接的电力系统。在维护商业秘密和知识产权的幌子下,诸如机器和控制系统时间常数之类的参数值通常无法进行研究。在设计阶段和风电场连接后,由于根据监管机构和网络运营商的要求,必须有由扰动引起的动态行为,以评估和确认系统运行条件。这项工作旨在在NILabVIEW®平台上开发软件,以识别和自动识别风力涡轮机模型参数(此处称为SIPAR1)。 .0)使用具有同步技术的变速风力涡轮机的运行数据,该数据来自电力和风速测量数据质量测量设备的获取,处理和评估。具有按时离散实现,以及基于数字信号处理器的平台。

著录项

  • 作者

    Resende Hudson da Silva;

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  • 年度 2016
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  • 原文格式 PDF
  • 正文语种 por
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