基于小波分析方法实现电网信息故障检测的研究

Research on Power Network Information Fault Detection Based on Wavelet Analysis Method

摘要:

针对电网信息分析以及数据处理复杂的问题,提出了使用小波变换的分析方法进行电网故障信息诊断,并实现电网信息的远程监控。本研究首先采用传感器组件采集电网信息系统各个部件的故障数据,并将传感器感测的现场数据传递到工业计算机,然后构建小波分析模型,对电网故障信息进行提取,实现故障特征的进一步细化,该方法有利于从获取的宏观信息中得出反映电网信息故障信息的微观因素。本研究还能通过数据传输单元将接收到的数据进行远程传递,数据传输单元可以通过ZigBee无线网络或者GPRS/CDMA无线通讯的方式实现数据的远程传输,使得用户能够在上层管理系统中远程监控检测数据。试验表明,用户能够通过LABVIEW软件实现电网信息系统的故障分析、波形显示、频率测试、谐波检测、报表生成等功能,分析比较明晰,试验效果较为明显。

Abstract:

Aiming at the problem of grid information analysis and data processing, this paper proposes an analysis method using wavelet transform to diagnose grid fault information and realize remote monitoring of grid information. In this study, the sensor component is used to collect the fault data of each component of the grid information system, and the field data sensed by the sensor is transmitted to the industrial computer, and then the wavelet analysis model is constructed to extract the grid fault information and further refine the fault features. The method is beneficial to obtain microscopic factors reflecting the fault information of the grid information from the obtained macro information. In this study, the received data can be transmitted remotely through the data transmission unit. The data transmission unit can realize remote transmission of data through ZigBee wireless network or GPRS/CDMA wireless communication, enabling users to remotely monitor and detect in the upper management system. data. The test shows that the user can realize the fault analysis, waveform display, frequency test, harmonic detection, report generation and other functions of the grid information system through LABVIEW software. The analysis is clearer and the test results are more obvious.