Ageing assessment of a wind turbine over time by interpreting wind farm SCADA data
Ageing assessment of a wind turbine over time by interpreting wind farm SCADA data
复制标题
通过解释风电场 SCADA 数据对风力涡轮机随时间的老化进行评估
DOI：
10.1016/j.renene.2017.03.097
复制
发表时间：
2018-02-01
期刊：
影响因子：
8.7
通讯作者：
Long, Xing
中科院分区：
文献类型：
--
作者：
Dai, Juchuan;Yang, Wenxian;Long, Xing
风力涡轮机及其部件的老化是不可避免的。随着时间的推移，它将影响涡轮机的可靠性和发电量。因此，开展风电机组老化评估，不仅对优化风电涡轮机的运行维护策略，而且对提高风电场的管理水平具有重要意义。然而，与大量关于风力涡轮机状态监测和可靠性分析的研究相比，以前很少努力调查风力涡轮机随时间的老化导致的性能退化问题。为了填补这一技术空白，本文提出了四个基于SCADA的风力涡轮机老化评估标准，以衡量老化导致的性能退化的涡轮机。在此基础上，提出了一种基于信息融合的风电涡轮机老化可靠性评估方法，并利用真实的风电场SCADA数据进行了验证。结果表明，该方法在风力涡轮机老化评估中是有效和可靠的。(C)2017爱思唯尔有限公司版权所有
Ageing of a wind turbine and its components is inevitable. It will affect the reliability and power generation of the turbine over time. Therefore, performing the ageing assessment of wind turbines is of significance not only to optimize the operation and maintenance strategy of the wind turbine but also to improve the management of a wind farm. However, in contrast to the significant number of research on wind turbine condition monitoring and reliability analysis, little effort was made before to investigate the ageing led performance degradation issue of wind turbines over time. To fill such a technology gap, four SCADA-based wind turbine ageing assessment criteria are proposed in this paper for measuring the ageing resultant performance degradation of the turbine. With the aid of these four criteria, a reliable information fusion based wind turbine ageing assessment method is developed and verified in the end using the real wind farm SCADA data. It has been shown that the proposed method is effective and reliable in performing the ageing assessment of a wind turbine. (C) 2017 Elsevier Ltd. All rights reserved.