基于SOM网的风电变流器故障诊断
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引用本文:王占霞,张晓波.基于SOM网的风电变流器故障诊断[J].电网与清洁能源,2011,27(4):35~38
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作者单位
王占霞 艾默生科技资源(西安)有限公司陕西 西安710075 
张晓波 西安交通大学 电气工程学院电力设备电气绝缘国家重点实验室陕西 西安710049 
基金项目:国家自然科学基金项目(50767003;50867004)
中文摘要:我国新疆、甘肃、宁夏、内蒙、浙江、黑龙江、江苏、广东等都在大规模建设风电场,这些风电场建成后,其故障维护就有了很大市场。以新疆风电场为基础,尝试开发用于风力机故障智能诊断的系统。首先介绍了风力机及其变频器系统的结构,分析了变频器的故障机理。使用SOM神经网络对风机变流器进行了诊断,用数据验证了诊断结果。把传统的电力电子设备故障诊断技术与新疆风力机变频器的故障诊断相结合,为风电大面积推广应用产生了积极作用。
中文关键词:风电  变流器  故障智能诊断  SOM神经网
 
Fault Diagnosis of Wind Turbine’s Converter Based on SOM Neural Net
Abstract:Large-scaled wind power farms are under construction at present in Xinjiang, Gansu, Ningxia, Inner Magnolia, Heilongjiang, Jiangsu, Guangdong and other provinces and autonomous regions in China. The completion and operation of these wind farms will create a huge market of wind farm maintenance service. This paper introduced a fault diagnosis system for converters of wind turbines based on wind farms in Xinjiang. This paper firstly introduced the structure of the wind turbine and its converter, and analyzed causes of converters’ faults. The SOM neural net was used to diagnose the faults, and the data generated verified its effect. The study innovatively combines the traditional fault diagnosis technology for electrical and electronic devices with the fault diagnosis technology for wind turbines’ converters in Xinjiang wind farms, and will play a positive role in popularization of the technique in more wind farms.
keywords:wind power  converter  intelligent fault diagnosis  SOM neural net
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