A knowledge-based fault diagnosis platform in smart grid: A conceptual design

Abstract

Ill-treated faults lead to power service interruptions for end customers, or even large scale outages, such as the case of 2003 North America blackout. In a smart grid environment, it is possible to detect and isolate faults in a timely manner. Fault detection and isolation (FDI) techniques based on measurement of traditional system states are well developed after decades of research efforts, mostly formulated as modules. In smart grids, more information sources are available, such as vision, acoustic, weather monitoring, and social media. A knowledge-based FDI platform is proposed to incorporate all these information sources and fault diagnosis modules. The proposed knowledge-based fault diagnosis architecture supplied well-reasoned results to support operator decision making, while expertise from operators help to improve its performance.