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本项目的目标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，采用小世界策略和层次聚类(HC)技术，以显著提高故障诊断的准确性和推理能力。知识价值：本项目的知识价值在于：(1)该工作能够有效和高效地利用现有信息，给出准确的配电故障诊断和发现正确的故障因果知识，从而大大提高后续配电故障预测和缓解控制的能力。(2)拟议的工作将提供一个一般框架，用于评估具有相似症状、地理环境和拓扑连通性的故障诊断案例，并将提供因果关系的背景。该项目将使用配电(一个典型的复杂系统)作为试验台，以评估使用小世界(SW)策略和层次聚类(HC)技术对复杂系统进行因果故障诊断的调查效果。广泛影响：该框架可应用于广泛的其他技术领域，包括电力传输系统、交通系统、制造系统、医疗系统、能源系统、国土安全，在这些领域它将促进故障诊断技术的性能改进和进步。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课程。与当地一家公用事业公司(Progress Energy)为该项目建立了涉及学生实习生的行业合作。将通过论文、会议介绍、教程、短期课程和一个专门的可供公众访问的网站及时向研究和技术界以及公众传播研究成果。

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.