李锁, 黄玲玲, 刘阳, 苗育植. 基于风电机组状态信息的海上风电场维护策略[J]. 现代电力, 2022, 39(1): 26-35. DOI: 10.19725/j.cnki.1007-2322.2021.0004
引用本文: 李锁, 黄玲玲, 刘阳, 苗育植. 基于风电机组状态信息的海上风电场维护策略[J]. 现代电力, 2022, 39(1): 26-35. DOI: 10.19725/j.cnki.1007-2322.2021.0004
LI Suo, HUANG Lingling, LIU Yang, MIAO Yuzhi. An Offshore Wind Farm Maintenance Strategy Based on Wind Turbine Condition Information[J]. Modern Electric Power, 2022, 39(1): 26-35. DOI: 10.19725/j.cnki.1007-2322.2021.0004
Citation: LI Suo, HUANG Lingling, LIU Yang, MIAO Yuzhi. An Offshore Wind Farm Maintenance Strategy Based on Wind Turbine Condition Information[J]. Modern Electric Power, 2022, 39(1): 26-35. DOI: 10.19725/j.cnki.1007-2322.2021.0004

基于风电机组状态信息的海上风电场维护策略

An Offshore Wind Farm Maintenance Strategy Based on Wind Turbine Condition Information

  • 摘要: 针对海上风电场运维过程中风电机组的状态信息利用不足,提出了一种基于风电机组状态信息的海上风电场维护策略。首先,考虑环境因素以及部件之间的相互作用对状态信息的影响,定义动态劣化度用于描述风电机组各部件的劣化程度,采用模糊综合评价法建立了风电机组的状态评估模型。其次,依据各风电机组的实测运行数据,确定风电场待维护机组。再次,针对选定的待维护机组,结合后续维护周期内风速预测结果,构建了以单个维护周期内维护成本最小为目标、以海上有限维护时间与可及性为约束的海上风电场短期预防性维护决策模型,对风电场的风电机组的维护时间以及路径进行优化。最后,结合国内某海上风电场实例数据进行算例研究,验证所提方法的有效性。

     

    Abstract: In allusion to underutilizing status messages of wind generation units during the operation and maintenance of offshore wind farm, an offshore wind farm maintenance strategy based on condition information of wind generation units was proposed. Firstly, considering the affection of environmental factors and the interaction among components on the condition information, the definition of dynamic deterioration degree was given and utilized to describe the deterioration degree of each component of wind power unit, and a fuzzy comprehensive evaluation method was used to establish the state assessment model for wind power units. Secondly, according to the actually measured operating data of each wind generation unit the wind farm’s generation units to be maintained were determined. Thirdly, in allusion to the selected generation units to be maintained and combining with the predicted results of the wind speed within the subsequent maintenance period, a short-term offshore wind farm preventive maintenance decision model, in which the minimum maintenance cost in a single maintenance period was taken as the objective and the limited offshore maintenance time and the accessibility were taken as the constraints, was constructed to optimize the maintenance time and the path of the wind power generation units of the offshore wind farm. Finally, combining with the instance data of a certain offshore wind farm in China the case study was performed. The effectiveness of the constructed model is verified.

     

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