摘要
由于海上风电机组的基础结构与海洋油气平台较为相似,将退役的海上油气平台改造成海上风电基础的支撑结构,是海洋油气平台再利用的一种重要途径。海上风能具有不稳定性和不可控性,为了保障海上风机的安全运行,对海上风机的可靠性进行评估,研究了基于退化状态监测的可靠性评估方法。首先,将海上风机系统分为风轮、变桨、发电机、齿轮箱、液压、电气、偏航、制动和变频器九个子系统,通过数据模拟其失效状态,界定海上风机各个子系统的失效分布类型,模拟仿真得到各子系统的失效概率密度分布曲线和平均无故障时间等可靠性评估指标,并将风机看作整体,得到系统的失效概率密度函数及平均寿命值,而后建立基于Markov方法的海上风机可靠性模型,分析风机退化状态,通过仿真计算进行实例分析,得到风机处于不同状态的概率和平均持续时间。依据建立的海上风电机组可靠性评估模型得到的可靠性相关参数,可以更好地评估风电机组的运行状态,有助于制定更加合理的维护计划。
As the foundation structure of offshore wind turbines is more similar to that of offshore oil and gas platforms,transforming decommissioned offshore oil and gas platforms into support structures for offshore wind power foundations is an important way to reuse offshore oil and gas platforms.However,offshore wind energy is unstable and uncontrollable.In order to guarantee the safe operation of offshore wind turbines,it is crucial to evaluate the reliability of offshore wind turbines.Therefore,a reliability assessment method based on degradation condition monitoring is studied.Firstly,the offshore wind turbine system is divided into nine subsystems:wind turbine,pitch,generator,gearbox,hydraulic,electrical,yaw,brake,and inverter,and the failure states are simulated by data to define the failure distribution types of each subsystem of the offshore wind turbine,and the reliability assessment indexes such as the failure probability density distribution curve and the average failure-free time of each subsystem are obtained by simulation.Considering the wind turbine as a whole,the failure probability density function and the average life value of the system are obtained.Then,an offshore wind turbine reliability model based on the Markov method is established,the degradation state of the wind turbine is analyzed,and the probability and average duration of the wind turbine in different states are obtained through simulation calculation for example analysis.Based on the reliability-related parameters obtained from the established offshore wind turbine reliability assessment model,the operational status of the wind turbine can be better evaluated,which helps to develop a more reasonable maintenance plan.
作者
于海龙
郭奇
刘斯杰
杨博
徐晴晴
吴宇航
YU Hailong;GUO Qi;LIU Sijie;YANG Bo;XU Qingqing;WU Yuhang(Clean Energy Branch,CNOOC Energy Development Co.,Ltd.;College of Safety and Ocean Engineering,China University of Petroleum(Beijing))
出处
《油气田地面工程》
2024年第6期55-61,共7页
Oil-Gas Field Surface Engineering
基金
中国石油科技创新基金研究项目:基于大数据的油气田站场风险预警技术(2021DQ02-0801)
中海油能源发展股份有限公司-中国石油大学(北京)联合创新基金:海上风电工程技术规范与标准体系及关键共性技术研究(GD2021ZCAF0021)。
关键词
海上风机
退化状态监测
马尔可夫模型
可靠性评估
offshore wind turbine
degradation status monitoring
Markov model
reliability assessment
