Alarm processing and fault diagnosis using knowledge based systems for transmission and distribution network control

Abstract

This paper presents two expert system developments which are each concerned with utilizing, t o the best effect, the increasing volume of SCADA (Supervisory Control And Data Acquisition) system data available t o power system control staff. The systems presented, APEX and RESPONDD, are aimed at the two related fields of alarm processing, and fault diagnosis respectively. The areas of commonality between these systems are discussed as well as details specific t o each separate system, including a case study of practical operation of each.

Automated post-fault diagnosis of power system disturbances

“…• The raw data is often uninformative: information relating to plant health or the performance of the power system is implicit rather than explicit; and • The volume of data, especially under storm conditions, renders manual analysis intractable. The requirement for tools and techniques to automate the analysis of different types of power systems data has driven research into the use of artificial intelligence (AI) for the best part of two decades [1][2][3][4][5][6][7][8][9][10][11][12]. As important, although less fully explore in the literature, is the fact the all the data sets above are related; they all contain data relating to how the power system reacts to disturbances.…”