李民,朱翔鸥,章上聪.并网光伏数据采集系统设计及误差修正[J].电子测量技术,2016,39(4):53-57
并网光伏数据采集系统设计及误差修正
The design of Grid photovoltaic data acquisition system and error correction
  
DOI:
中文关键词:  数据采集系统  测量误差  校准  最小二乘法
英文关键词:data acquisition system  measurement error  calibration  least square method
基金项目:
作者单位
李民 温州大学浙江省低压电器智能技术重点实验室温州325000 
朱翔鸥 温州大学浙江省低压电器智能技术重点实验室温州325000 
章上聪 温州大学浙江省低压电器智能技术重点实验室温州325000 
AuthorInstitution
Li Min The Key Laboratory of LowVoltage Apparatus Intellectual Technology of Zhejiang, Wenzhou 325000,China 
Zhu Xiang′ou The Key Laboratory of LowVoltage Apparatus Intellectual Technology of Zhejiang, Wenzhou 325000,China 
Zhang Shangcong The Key Laboratory of LowVoltage Apparatus Intellectual Technology of Zhejiang, Wenzhou 325000,China 
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中文摘要:
      开发了一套具备数据采集、分析处理、测量结果校准等功能的太阳能并网光伏数据采集系统。为解决零点漂移、元器件非线性等因素造成的测量误差,论文提出了一种基于分段最小二乘法的数据校准算法。通过计量标准表建立光伏数据采集系统的标准值,利用分段最小二乘拟合法对系统测量结果进行校准,由标准测量值与校准值相比,判断系统是否达到设计要求。实验结果表明,基于分段最小二乘拟合法可以有效补偿系统的测量误差,与未经校准的测量数据对比发现,所设计的光伏并网数据采集系统和校准算法,将测量误差减小了89.6%,测量精度得到有效提高。
英文摘要:
      The thesis developed a set of Photovoltaic solar power grid data acquisition system which includes functions of data acquisition,analysis&process and measurement correction.In order to solve the measurement error caused by zero drift and nonlinear characteristics of components, thesis proposed a kind of data calibration algorithm based on sector least square method.It set up the standard values of photovoltaic date acquisition system by measurement standard table, do measurement calibration for system by Piecewise least squares fitting method, and decide whether system meets design requirements by comparing Standard to measure value and calibration value. The experimental results indicate that Piecewise least squares fitting method can compensate the measurement error of the system effectively, The measurement error has been reduced 89.6% after using Grid connected PV data acquisition system and calibration algorithm compared with metrical date without calibration, measurement accuracy been improved effectively.
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