DocumentCode :
2525895
Title :
A rule-based expert system for Steady State Diagnosis of Electrical Distribution Networks
Author :
Borlea, Ioan ; Vuc, Gheorghe ; Jigoria-Oprea, Dan ; Kilyeni, Annamaria ; Barbulescu, Constantin ; Slavici, Titus
Author_Institution :
Politeh. Univ. of Timisoara, Timisoara, Romania
fYear :
2010
fDate :
26-28 April 2010
Firstpage :
142
Lastpage :
147
Abstract :
The paper describes an expert system, named DiagRED, for the Electrical Distribution Network Steady State Diagnosis. Following the introduction, the 2nd section presents the theoretical background regarding the applying of the Model Based Diagnosis (MBD) to the power systems steady state operation. Basic concepts and the MBD models for the discussed case are given. The 3rd section presents the fuzzy indices for steady state operation diagnosis. Within the 4th section, the DiagRED structure and its components are presented. Database, knowledge base and user interface are described. The main functors and rules implemented in the Prolog language are given. The 5th section is focusing on presenting the case study, represented by a real 87 buses distribution network. Finally the conclusions of the paper are presented.
Keywords :
PROLOG; database management systems; distribution networks; expert systems; power engineering computing; user interfaces; DiagRED system; Prolog language; database; electrical distribution networks; fuzzy indices; knowledge base; model based diagnosis; power systems; rule-based expert system; steady state operation diagnosis; user interface; Application software; Computer applications; Diagnostic expert systems; Fault diagnosis; Humans; Power engineering and energy; Power system modeling; Power system stability; Steady-state; User interfaces;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
MELECON 2010 - 2010 15th IEEE Mediterranean Electrotechnical Conference
Conference_Location :
Valletta
Print_ISBN :
978-1-4244-5793-9
Type :
conf
DOI :
10.1109/MELCON.2010.5476321
Filename :
5476321
Link To Document :
بازگشت