大功率风电机组变桨系统故障诊断方法与技术研究进展  

Review on Research Progress of Fault Diagnosis Method and Technology for Variable Pitch System of High Power Wind Generating Set

作　　者：陈茜[1] 李录平[1] 刘瑞 杨波 李重桂 邓子豪 CHEN Xi;LI Lu-ping;LIU Rui

机构地区：[1]长沙理工大学,湖南长沙410014 [2]广州特种承压设备检测研究院

出　　处：《电站系统工程》2020年第1期1-7,共7页Power System Engineering

基　　金：广东省质量技术监督局科技项目(2018CT28);广州特种承压设备检测研究院科技项目资助

摘　　要：变桨系统是大功率风电机组重要的子系统,其主要功能是使桨叶快速高效地捕捉风能,最大限度地利用风能。作为故障频发的子系统,变桨系统能否正常运行直接影响机组的安全稳定运行。综述风电机组变桨系统故障诊断方法和技术的研究进展。首先,介绍变桨系统故障诊断的背景及意义;然后阐述变桨系统主要的故障类型、故障机理及相应的敏感参数,变桨系统故障诊断常用的三种方法,即基于解析模型、基于信号分析以及基于人工智能的诊断方法;最后,介绍基于SCADA系统数据的混合智能诊断技术的发展情况,对本领域未来的发展趋势进行了展望。The pitch control system is an important subsystem of high-power wind turbines, the main function of which is to enable the blades to capture wind energy quickly and efficiently, and to maximize the use of wind energy. As a subsystem with frequent faults, the normal operation of pitch control system directly affects the safe and stable operation of the unit. The research progress of fault diagnosis methods and techniques for wind turbine pitch control system is be summarized. Firstly, the background and significance of fault diagnosis for wind turbine pitch control system are introduced. The main fault types, mechanism and corresponding sensitive parameters of pitch control system are demonstrated, and three common fault diagnosis methods for wind turbine pitch control system are presents, which are analytical model based method, signal analysis based method and and artificial intelligence based diagnostic method.Also, the development of hybrid intelligent technology based on SCADA system is introduced. Finally, the future development trend of this field is prospected.

关 键 词：风电机组 变桨系统 故障诊断 SCADA系统 人工智能 

分 类 号：TK83[动力工程及工程热物理—流体机械及工程]