Small World Stratification for Power System Fault Diagnosis with Causality

具有因果关系的电力系统故障诊断的小世界分层

• 批准号: 0653017
• 负责人: Mo-Yuen Chow
• 金额: --
• 依托单位: North Carolina State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2011-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0653017&HistoricalAwards=false
• 关键词: Small; World; Stratification; Power; System

Small World Stratification for Power System Fault Diagnosis with CausalityThe objective of this project is to investigate and develop a fault diagnosis with causality methodology for power distribution systems using Small World (SW) strategy and Hierarchical Clustering (HC) technology to substantially improve fault diagnosis accuracy and reasoning. Intellectual Merit:The intellectual merits of this project are: (1) The proposed work can provide effective and efficient use of available information to give accurate power distribution fault diagnosis and to discover proper fault causality knowledge, which can substantially enhance the subsequent power distribution fault prognosis and mitigation control. (2) The proposed work will provide a general framework from which to evaluate cases with similar symptoms, geographical settings and topological connectivity for the fault diagnosis and will give the context for causality. The project will use power distribution (a typical complex system) as a test bed to evaluate the effectiveness on the investigation of using Small World (SW) strategy and Hierarchical Clustering (HC) technology for fault diagnosis with causality on complex systems.Broader Impacts: The framework can be applied to a wide variety of other technical areas, including power transmission systems, transportation systems, manufacturing systems, healthcare systems, energy systems, homeland security where it will facilitate performance improvements and advancements in fault diagnosis technologies.The educational component of this project pertains to graduate and undergraduate research, senior design projects, departmental seminars, and high school internships at the university laboratory. Technologies and other results will be integrated into courses and curriculum. Industrial collaboration with a local utility company (Progress Energy) involving student interns has been established for this project. Timely dissemination of research results to the research and technical community as well as the general public will occur through papers, conference presentations, tutorials, short courses and a dedicated publicly accessible website.

基于因果关系的配电系统故障诊断的小世界分层研究本课题的目的是研究和开发一种基于因果关系的配电系统故障诊断方法，该方法采用小世界策略和层次聚类技术，大大提高了故障诊断的准确性和推理能力。 智能价值：本项目的智能价值是：（1）所提出的工作可以提供有效和高效地使用可用信息，以提供准确的配电故障诊断和发现适当的故障因果关系知识，这可以大大提高后续的配电故障预测和缓解控制。(2)拟议的工作将提供一个总体框架，从该框架中评估具有相似症状、地理环境和拓扑连通性的故障诊断案例，并给出因果关系的上下文。该项目将使用配电（一个典型的复杂系统）作为一个试验平台，评估小世界（SW）策略和层次聚类（HC）技术在复杂系统因果故障诊断研究中的有效性。该框架可以应用于各种各样的其他技术领域，包括电力传输系统、运输系统、制造系统，该项目的教育部分涉及研究生和本科生研究、高级设计项目、部门研讨会和大学实验室的高中实习。技术和其他成果将被纳入课程和教学大纲。为该项目，与当地一家公用事业公司（Progress Energy）建立了工业合作关系，其中包括学生实习生。将通过论文、会议介绍、教程、短期课程和专门的公开网站，向研究和技术界以及公众及时传播研究成果。