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山东大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (6): 100-107.doi: 10.6040/j.issn.1672-3961.0.2017.013

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基于IEC信息分类的风电机组可利用率分析与提升方法

辛燕1,李景才1,任旦元2,周民强2   

  1. 1. 商丘职业技术学院, 河南 商丘 476000;2. 浙江运达风电股份有限公司, 浙江 杭州 310012
  • 收稿日期:2017-01-09 出版日期:2017-12-20 发布日期:2017-01-09
  • 作者简介:辛燕(1980— ),女,山东菏泽人,讲师,硕士,主要研究方向为机械制造及风电领域. E-mail:reliabile@163.com
  • 基金资助:
    国家自然科学基金资助项目(51465009)

Availability analysis of wind turbine based on IEC information classification and research on the improvement method

XIN Yan1, LI Jingcai1, REN Danyuan2, ZHOU Minqiang2   

  1. 1. Shangqiu Polytechnic, Shangqiu 476000, Henan, China;
    2. Zhejiang Windey Company Limited, Hangzhou 310012, Zhejiang, China
  • Received:2017-01-09 Online:2017-12-20 Published:2017-01-09

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摘要： 针对国内风电机组可利用率计算结果与实际偏差较大的缺点,基于IEC61400-26-1标准中的机组运行类别,对主控系统中各状态码进行可利用属性的划分,对故障停机时间采用基于时间戳法的统计计算,改进可兼顾业主和制造商利益的机组可利用率计算方法,计算结果整体趋势与SCADA报表一致。该方法可通过对低利用率机组状态代码的时间和次数统计,发现机组可利用率低的主要原因,并提出改进意见,进而通过主控程序升级等方式提升机组利用率。结果表明,利用该方法计算,机组可利用率提升2.2%,与实际结果更加符合。

关键词: 提升方法, 主控系统, 时间戳法, 状态码, 风力发电机, 可利用率

Abstract: To avoid the availability difference between calculated value and actual value, status codes of main control system were divided into different parts according to their available properties, based on the standard IEC61400-26-1. The statistics of wind turbine downtime was based on timestamp method. The calculation method of availability was improved by taking account of the interests of owners and manufacturers, and the overall trend of the results was consistent with the SCADA Report. By counting the time and times of the status codes of the low availability unit, the improvement method could find the main reason of low availability in wind turbine and give advice to improve wind turbine availability by updating main control program. The results showed that the wind turbine availability could be increased by 2.2%, according with actual results through proposed method.

Key words: availability, main control system, improvement method, status code, timestamp method, wind turbine

中图分类号: 

  • TK83
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