DocumentCode :
3374266
Title :
Classification of power system operation point using rough set techniques
Author :
Lambert-Torres, Germano ; da Silva, Alexandre P. Alves ; Quintana, Victor Hugo ; Da Silva, Luiz Eduardo Borges
Volume :
3
fYear :
1996
fDate :
14-17 Oct 1996
Firstpage :
1898
Abstract :
During the operation of a power system, the system operator is supplied with many data. These data come from measurements into the system or from computational processes. The size of the current database in power control center has increased so much in the last years due to the use of telecommunication process. The system operator needs, to take a decision about an operation in the system (switching, changing taps and voltage levels, and so on), to know the current state of the system and same forecasted position, such as load forecasting, maintenance schedule, and so on. This paper presents an approach to reduce the size of database system, keeping only the essential information to the process. This approach is based on rough set theory
Keywords :
database management systems; pattern classification; power engineering; power engineering computing; power system control; load forecasting; maintenance schedule; power control center database; power system operation point classification; rough set techniques; telecommunication process; Databases; Image restoration; Load forecasting; Power control; Power engineering computing; Power system analysis computing; Power system measurements; Power systems; Power transmission lines; Telecommunication computing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location :
Beijing
ISSN :
1062-922X
Print_ISBN :
0-7803-3280-6
Type :
conf
DOI :
10.1109/ICSMC.1996.565401
Filename :
565401
Link To Document :
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