Model/heuristic-based alarm processing for power systems

authored by

Monika Pfau-Wagenbauer, Wolfgang Nejdl

Abstract

This paper describes an intelligent alarm processing expert system which is integrated in a large Supervisory Control and Data Acquisition system for power distribution networks. The expert system works as an operator support tool by diagnosing network disturbances and device malfunctions. The expert system is based on a hierarchic, multi-level problem-solving architecture, integrating both model-based and heuristic techniques acting upon an object-oriented data structure. Several enhancements have been designed and implemented to enable the system to perform its task online and real-time. The expert system covers online processing of real-time data and intelligent alarm processing, as well as the automatic creation and update of the knowledge base. It consists of approximately 25000 objects (units) and 190 rules. The system uses the expert system tool KEE, runs on SUN workstations, and is integrated in the Supervisory Control and Data Acquisition system via LAN. The expert system was implemented for the Public Utilities Board Singapore controlling its 22 kV distribution network and has been online since November 1990.

External Organisation(s)

Siemens AG
RWTH Aachen University

Type

Article

Journal

Artificial Intelligence for Engineering, Design, Analysis and Manufacturing

Volume

7

Pages

65-78

No. of pages

14

ISSN

0890-0604

Publication date

02.1993

Publication status

Published

Peer reviewed

Yes

ASJC Scopus subject areas

Industrial and Manufacturing Engineering, Artificial Intelligence

Electronic version(s)

https://doi.org/10.1017/S089006040000007X (Access: Unknown)