摘要
将集合经验模态分解(EEMD)边际谱熵方法融入单相自适应重合闸专家系统,以期提高输电线路故障识别效果。采用ATP-EMTP对输电线路的瞬时性故障和永久性故障进行仿真,根据两者电压波形和频谱特征差异,实现基于EEMD边际谱熵方法的故障识别设计。在单相自适应重合闸专家系统中,基于规则推理(RBR)采用EEMD边际谱熵对案例库进行更新,基于案例推理(CBR)采用欧氏距离法对故障的贴近度进行度量。EEMD边际谱熵方法与专家系统相结合,既提高了规则库的灵活性,又实现了案例库的实时更新,可以更好地发挥各自的优势,大幅提高针对输电线路瞬时性故障和永久性故障识别的速度和准确率。
The Ensemble Empirical Mode Decomposition （EEMD） marginal spectral entropy method is integrated into the single-phase adaptive reclosure expert system to improve the effect of fault identification for transmission lines. The transient fault and permanent fault of transmission lines are simulated by ATP-EMTP. Per the characteristics differences between voltage waveforms and their respective spectrums, the fault identification design based on EEMD marginal spectrum entropy method is realized. In the single-phase adaptive reclosure expert system, Rule Based Reasoning （RBR） uses EEMD marginal spectral entropy to update the case library, and Case Based Reasoning （CBR） uses Euclidean distance method to measure the closeness of faults. The combination of EEMD marginal spectral entropy method and expert system not only improves the flexibility of rule library, but also realizes the real-time update of case library, playing full roles to their respective advantages and greatly improve the efficiency and accuracy of identifying transient fault and permanent fault for transmission lines.
作者
徐晨华
胡强
XU Chen-hua;HU Qiang(Northeastern Jiangxi Power Supply Company,Leping 333300,China)
出处
《工业技术创新》
2018年第5期37-41,共5页
Industrial Technology Innovation
