基于WSN和数据融合技术的电力变压器故障诊断系统的研究

Research on System of Power Transformer Fault Diagnosis Based on WSN and Data Fusion Technology

探讨一种基于数据融合和可拓理论的电力变压器故障诊断方法,基于此方法,应用无线传感器网络技术和.NET开发平台构建和开发出一套电力变压器故障诊断系统。该系统将WSN技术用于电力变压器油中溶解气体的无线数据采集,实现变压器油中溶解气体的实时数据采集和传送;同时运用信息融合技术对数据进行优化处理,既可以降低网络能耗又保证了数据的准确和客观;在变压器进行故障诊断时,针对现有电力变压器故障诊断的气体比值法存在的编码规则不完整、诊断故障类型单一等缺陷,使用可拓诊断方法,定量与定性相结合,使变压器故障诊断方法更为精细化。在线故障诊断可视化系统可以实现变压器油中溶解气体参数的采集、显示、分析、存储和回放等功能,实现对变压器故障信息的实时分析与自动诊断,既解决了作业人员远程实时监测变压器运行状态问题,又大大提高了变压器故障诊断的性能,为变压器在线监测和故障诊断技术提供新的发展方向。

The article discusses a method of power transformer fault diagnosis based on data fusion and extension theory, for this method a power transformer fault diagnosis system is constructed and developed by the application of wireless sensor network tech- nology and VS. NET platform. The system applies WSN technology in wireless data acquisition of gases dissolved in power trans- former oil, and can achieve real time data transmission. At the same time information fusion technology which is used to optimize the data, not only can reduce network energy consumption and ensure the accurate and objective data. For the coding rules of gas ratio method currently existed is incomplete and single, the extension method, combining quantitative and qualitative, it can make transformer fault diagnosis more refinement. Especially, the visual system can achieve the acquisition, displaying, analysis, stor- age and playback of gas parameters, and can be used in real-time analyzing and automatic diagnosis of transformer fanlt. The sys- tem of power transformer fault diagnosis can not only resolve the problem of the real-time and remote monitoring of operating per- sonnel, but also greatly improve the performance of the transformer fauh diagnosis. It provides a new direction for transformer on- line monitoring and fault diagnosis technology.