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中南沿海气候条件下风力机可靠性分析 被引量:1

Reliability Analysis of Wind Turbine in the Coastal Climate of Central and Southern China
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摘要 基于风电场现场数据,根据故障率、故障时间和维修成本等指标确定影响风力机可靠性的主要零部件。利用FTA法分析主要零部件故障的具体原因;采用相关性分析法分析风力机故障率与环境因素(风速、温度及环境湿度)之间的相关性;利用季节指数分析风力机故障率的季节性特征。结果表明:液压系统﹑电气控制系统和偏航系统故障是造成风力机故障率高的主要原因,故障率占比达67.91%;发电机和传动系统虽然故障率较低,但其平均故障时间和维修成本更高;故障率与风速、温度和湿度存在明显相关性,其中故障率与风速存在负相关关系,与温度和环境湿度存在正相关性。 Based on the field data of the wind farm,the main components that affected the reliability of the wind turbine were de⁃termined according to the failure rate,failure time and maintenance cost.The specific reasons for the failures of the main components were analyzed by using the FTA method;the correlation analysis method was used to analyze the correlation between wind turbine fail⁃ure rate and environmental factors,such as wind speed,temperature and environmental humidity;the seasonal characteristics of wind turbine failure rate were analyzed by using seasonal index.The results show that the faults of hydraulic system,electrical control system and yaw system are the main reasons for the high failure rate of wind turbine,which accounts for 67.91%;although generators and transmission systems have lower failure rates,they have higher average failure time and maintenance costs;the failure rate has obvious correlation with wind speed,temperature and humidity,among them,there is a negative correlation between the failure rate and wind speed,and a positive correlation between the failure rate and temperature&environmental humidity.
作者 苏梦星 陈严 陈琴 孙高山 马其鹏 SU Mengxing;CHEN Yan;CHEN Qin;SUN Gaoshan;MA Qipeng(Institute of Energy Science,Shantou University,Shantou Guangdong 515000,China;Key Laboratory of Intelligent Manufacturing,Shantou University,Shantou Guangdong 515000,China)
出处 《机床与液压》 北大核心 2022年第4期173-179,共7页 Machine Tool & Hydraulics
基金 广东省应用型科技研发专项(2015B020240003) 国家自然科学基金项目(51976113)。
关键词 风力机 可靠性 故障树 相关性分析 季节性特征 Wind turbine Reliability Fault tree Correlation analysis Seasonal characteristics
作者简介 苏梦星(1996-),男,硕士研究生,研究方向为叶轮机械气动弹性。E-mail:18mxsu@stu.edu.cn;通信作者:陈严(1964-),男,博士,教授,主要研究方向为叶轮机械气动及结构力学、计算流体力学、计算机软件技术。E-mail:ychen@stu.edu.cn。
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