Customized Wavelets for Analysis of Fault Transients in Power Systems

本研究的目的是研究小波设计以优化其在电力系统中的特定应用性能。研究的另一个目标是开发一个时域传输线模型，该模型可以准确地表示频率相关参数，并将其纳入时域瞬态仿真程序。该方法首先集中精力通过使用模拟器（如电磁瞬变程序）创建一系列电瞬变信号。为了确定用小波表示的主要性质，将对每种暂态的特征进行识别。识别信号特征后，通过选择合适的二叉树结构，并根据滤波器格参数对母小波/标度函数进行优化，构建正交镜像滤波器小波/波包正交基。该项目通过根据电网的具体特点定制母小波，提高了小波变换在电力系统暂态分析中的应用。更广泛的影响该项目的结果将通过实现准确可靠的故障定位，大大提高国家电网运行的可靠性。这将通过减少意外断电的持续时间来节省成本。该项目还将培养两名研究生，他们将在本科实验课上教授所开发的材料。该项目的结果将作为期刊出版物分发。该项目还将涉及使用REU补充资金的代表性不足群体的本科生。

The objective of this research is to investigate the wavelet design for optimizing its performance for specific applications in power systems. Another objective of the research is to develop a time-domain transmission line model that can represent frequency dependent parameters in an accurate manner and to incorporate it into a time-domain transient simulation program. The approach is to first concentrate on creating a family of electrical transient signals by using a simulator such as the electromagnetic transients program. The characteristics of each type of transient will be identified in order to define the main properties to represent by a wavelet. Once the signal characteristics are identified, a quadrature mirror filter wavelet/wavepacket orthogonal basis will be constructed by selecting an appropriate binary tree structure and optimizing the mother wavelet/scaling function with respect to its filter lattice parameters. Intellectual MeritThe project advances the knowledge and understanding in the area of wavelet transforms when used for power system transient analysis by customizing the mother wavelet to specific characteristics of power networks. Broader ImpactsResults of the project will lead to significant reliability improvements in the operation of the nation's power grid by allowing accurate and reliable fault location. This will produce cost savings by minimizing the duration of unexpected power outages. The project will also train two graduate students who will teach the developed material in the undergraduate laboratory classes. The results of the project will be disseminated as journal publications. The project will also involve undergraduate students from under-represented groups using REU supplemental funds.