利用非全相运行故障录波数据的线路参数计算

针对采用单相重合闸的特/超高压输电线路,提出了一种利用重合闸期间非全相运行故障录波数据的线路参数时域计算方法。对于非故障线路,正序、零序参数分别选择线模及零模集中参数模型进行计算。对于故障线路,正序参数选择非故障相相间线模集中参数模型进行计算。若二次电弧未熄灭,选择三相耦合线路模型计算故障线路零序参数;若二次电弧熄灭,选择零模集中参数模型计算故障线路零序参数。依据所选模型建立微分电路方程,将线路两端电压和电流采样值作为已知量,利用最小二乘法计算线路参数。采用ATP-EMTP软件的仿真结果表明,所提方法能够得到非故障线路和故障线路的正序参数和零序参数,且选择合适的模型可以提高参数计算精度,其中正序电阻、电感、电容的误差分别小于1%、0.5%、0.23%,零序电阻、电感、电容的误差分别小于0.12%、0.1%、0.04%。

输电线路自动故障诊断和故障定位实时发布系统

输电线路自动故障诊断和故障定位实时发布系统(Fault Vista)实时监测电网运行状态,当电网发生故障时,将诊断结果和故障杆塔号自动展示于地理信息系统(GIS)之上,同时以短信方式通报给调度运行人员。介绍系统的主要功能模块,描述系统的特点和优势,提出非均匀线路故障定位算法和长线路混合型算法以提高故障定位的准确性。列举了几个典型故障实例,表明系统应用效果良好。

Wavelet neural network based fault diagnosis in nonlinear analog circuits

The theories of diagnosing nonlinear analog circuits by means of the transient response testing are studled. Wavelet analysis is made to extract the transient response signature of nonlinear circuits and compress the signature dada. The best wavelet function is selected based on the between-category total scatter of signature. The fault dictionary of nonlinear circuits is constructed based on improved back-propagation（BP） neural network. Experimental results demonstrate that the method proposed has high diagnostic sensitivity and fast fault identification and deducibility.

Particle swarm optimization based RVM classifier for non-linear circuit fault diagnosis

A relevance vector machine (RVM) based fault diagnosis method was presented for non-linear circuits. In order to simplify RVM classifier, parameters selection based on particle swarm optimization (PSO) and preprocessing technique based on the kurtosis and entropy of signals were used. Firstly, sinusoidal inputs with different frequencies were applied to the circuit under test (CUT). Then, the resulting frequency responses were sampled to generate features. The frequency response was sampled to compute its kurtosis and entropy, which can show the information capacity of signal. By analyzing the output signals, the proposed method can detect and identify faulty components in circuits. The results indicate that the fault classes can be classified correctly for at least 99% of the test data in example circuit. And the proposed method can diagnose hard and soft faults.

Demodulation spectrum analysis for multi-fault diagnosis of rolling bearing via chirplet path pursuit

The vibration signals of multi-fault rolling bearings under nonstationary conditions are characterized by intricate modulation features,making it difficult to identify the fault characteristic frequency.To remove the time-varying behavior caused by speed fluctuation,the phase function of target component is necessary.However,the frequency components induced by different faults interfere with each other.More importantly,the complex sideband clusters around the characteristic frequency further hinder the spectrum interpretation.As such,we propose a demodulation spectrum analysis method for multi-fault bearing detection via chirplet path pursuit.First,the envelope signal is obtained by applying Hilbert transform to the raw signal.Second,the characteristic frequency is extracted via chirplet path pursuit,and the other underlying components are calculated by the characteristic coefficient.Then,the energy factors of all components are determined according to the time-varying behavior of instantaneous frequency.Next,the final demodulated signal is obtained by iteratively applying generalized demodulation with tunable E-factor and then the band pass filter is designed to separate the demodulated component.Finally,the fault pattern can be identified by matching the prominent peaks in the demodulation spectrum with the theoretical characteristic frequencies.The method is validated by simulated and experimental signals.

一起用户专用变压器中性点接地引起零序保护误动事件分析

220kV琴韵站发生多次两回20kV电缆馈线同时跳闸故障。从分析20kV电缆馈线同时跳闸的保护动作情况及故障录波出发,利用电压电流相量分析法,分析其原因是非故障线路存在用户专用变压器高压侧中性点直接接地。运用RTDS(real time digital simulator)系统仿真验证了系统发生接地故障时,非故障线路用户专用变压器高压侧中性点直接接地,会使故障线路零序电流幅值比理论计算值偏大,非故障线路三相电流相位偏向一侧,导致非故障线路零序保护误动作。