Customized Wavelets for Analysis of Fault Transients in Power Systems

用于电力系统故障暂态分析的定制小波

• 批准号: 0824005
• 负责人: Ali Abur
• 金额: $ 33万
• 依托单位: Northeastern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-09-01 至 2012-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0824005&HistoricalAwards=false
• 关键词: Customized; Wavelets; Analysis; Fault; Transients

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.

本研究的目的是探讨小波设计，以优化其在电力系统中的具体应用的性能。 研究的另一个目标是开发一个时域传输线模型，可以表示频率相关的参数，以准确的方式，并将其纳入时域瞬态仿真程序。该方法是首先集中于创建一个家庭的电瞬态信号，通过使用模拟器，如电磁瞬态程序。 每种类型的瞬态的特性将被识别，以定义的主要属性表示的小波。 一旦信号特征被识别，正交镜像滤波器小波/波包正交基将通过选择适当的二叉树结构和优化母小波/尺度函数相对于其滤波器晶格参数来构造。智能优点该项目通过根据电力网络的具体特征定制母小波，提高了对小波变换用于电力系统暂态分析的知识和理解。 更广泛的影响该项目的结果将导致显着的可靠性改善，在运行的国家电网，允许准确和可靠的故障定位。 这将通过最大限度地减少意外停电的持续时间来节省成本。 该项目还将培训两名研究生，他们将在本科实验室课程中教授开发的材料。 该项目的成果将作为期刊出版物散发。 该项目还将涉及来自代表性不足群体的本科生，使用REU补充资金。