主动配电网电能计量终端隐性故障检测系统

Hidden fault detection system of electric energy metering terminal in active distribution network

主动配电网电能计量终端节点分布范围广,告警信息零散,容易存在隐性故障,需要对主动配电网电能计量终端隐性故障进行有效检测,提高配电网运行工况的稳定性,提出一种基于故障频谱分析和DSP嵌入式设计的主动配电网电能计量终端隐性故障检测系统设计方法。提取主动配电网电能计量终端隐性故障特征,建立故障特征矩阵,采用相关功率谱密度分析方法进行主动配电网电能计量终端隐性故障的智能定位和特征提取,对提取的主动配电网电能计量终端隐性故障特征采用神经网络分类器实现准确分类,根据分类结果进行故障类别判断,实现故障检测算法优化设计。在嵌入式环境下以ADSP21160处理器为核心器件,进行配电网电能计量终端隐性故障检测系统的硬件设计。测试结果表明,采用该方法进行主动配电网电能计量终端隐性故障检测的智能性较高,检测准确性较好。

The nodes of active distribution network electric energy measurement terminal are widely distributed,the alarm information is scattered,and itis easy to exist hidden faults.It needs to effectively detect the active distribution network energy metering terminal hidden fault to improve the stability of distribution network operating conditions.A design method of hidden fault detection system for active distribution network power metering terminal based on fault spectrum analysis and DSP embedded design is presented.The hidden fault features of active distribution network power metering terminal are extracted,the fault feature matrix is established,and the intelligent location and feature extraction of hidden fault of active distribution network power metering terminal are carried out by using correlation power spectrum density analysis method.Neural network classifier is used to classify the recessive fault features of the active distribution network power measurement terminal.According to the classification results,the fault classification can be judged and the fault detection algorithm can be optimized.Based on the ADSP21160 processor,the hardware design of the hidden fault detection system for the power metering terminal in the distribution network is carried out in the embedded environment.The test results show that this method is more intelligent and accurate in detecting hidden faults of active power metering terminals in distribution network.