小波理论及其在电力系统暂态信号分析处理中的应用

A general method to analyze the power system transient signals using wavelet transform is studied. From the point of view of engineering application, the sampling technology of direction and indirection wavelet transform are studied by the numbers. In view of the application feature and affection from different mother wavelets, the general bases option rules aiming at high degree singularity transient detection, the feebleness transient implied in low frequency carrier wave detection, the transient implied in narrowband disturb, fault location, filter are established. At the request of decompose precision and real-time operation, a kind of cosine-modulated based M-band orthogonal wavelet construction method , the combine recursive wavelet transform algorithm , a wavelet optimal construction method based on minimizing the 2-norm of discrete wavelet decomposition approximation, are proposed. the idea and algorithm of window singularity exponent(WSE), multiresolve Shannon entropy(MSE), energy distributing exponent (EDE) and undulation exponent(EUE) are proposed. Wavelet Network and Multi-wavelet theories and also the application principles objecting to electric power system are researched. The fault arc EMTDC model is set up, and the result of simulation confirms to the result of experiment. According to the character of EHV transmission lines fault concomitance with arc, a new protection principle and criterion based on wavelet analysis is first proposed and established. In the end, the general power transformer transient model and transient signals characters are gived.

跟踪研究小波理论最新发展，创造性地应用于电力系统暂态信号的分析处理，提出小波时频分析机理、小波基选择原理、小波信号处理算法、复小波变换相位信息、小波统计信号处理等。探讨高压输电线路神经网络保护中的小波故障特征提取方法。本项目研究既有理论性又服务于电力系统保护、故障诊断、谐波检测技术。