DocumentCode :
27913
Title :
Coordination of Overcurrent Relays Using Genetic Algorithms and Unconventional Curves
Author :
Castillo Salazar, Carlos Alberto ; Conde Enriquez, Arturo
Author_Institution :
Fac. de Ing. Mec. y Electr., Univ. Autonoma de Nuevo Leon, San Nicolas de Los Garza, Mexico
Volume :
12
Issue :
8
fYear :
2014
fDate :
Dec. 2014
Firstpage :
1449
Lastpage :
1455
Abstract :
This paper proposes an alternative that mitigates the lack of sensitivity of overcurrent relays in highly interconnected power systems, i.e. reduce the operating time and increase their ability to detect fault conditions. From the inverse time characteristic equation, standardized by the IEEE, seeking to provide the protection with greater flexibility, the use of unconventional inverse time curves is proposed, considering each adjustment of the equation as a degree of freedom. The optimal settings for the coordination problem are obtained by the implementation of one of the evolutionary computing methods, the genetic algorithms. Furthermore, different levels of the load current are considered for each system, simulating actual behavior.
Keywords :
genetic algorithms; overcurrent protection; power system interconnection; power system protection; relay protection; adjustable setting; coordination problem; evolutionary computing methods; fault conditions; genetic algorithms; interconnected power systems; load current; overcurrent relays; unconventional inverse time curves; Circuit faults; Equations; Genetic algorithms; Integrated circuit interconnections; Power systems; Relays; Sensitivity; evolutionary computing; genetic algorithms; overcurrent relay; relay coordination;
fLanguage :
English
Journal_Title :
Latin America Transactions, IEEE (Revista IEEE America Latina)
Publisher :
ieee
ISSN :
1548-0992
Type :
jour
DOI :
10.1109/TLA.2014.7014513
Filename :
7014513
Link To Document :
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