DocumentCode :
3103323
Title :
A new genetic algorithm method for optimal coordination of overcurrent relays in a mixed protection scheme with distance relays
Author :
Abyaneh, Hossein Askarian ; Kamangar, Somayeh Sadat Hashemi ; Razavi, Farzad ; Chabanloo, Reza Mohammadi
Author_Institution :
Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran
fYear :
2008
fDate :
1-4 Sept. 2008
Firstpage :
1
Lastpage :
5
Abstract :
Several optimal coordination of overcurrent relays have been done in the past by using linear programming such as simplex, two-phase simplex and dual simplex and also intelligent optimization techniques such as genetic algorithm (GA) techniques. In this paper, a powerful optimal coordination method based on GA is introduced. The objective function (OF) is developed in a way that in addition to coordination of overcurrent relays, the coordination of overcurrent and distance relays is achieved. In other words, the novelty of the paper is the modification of the existing objective function of GA, by adding a new term to OF to fulfill the coordination of both overcurrent and distance relays. The method is applied to a power network system and from the obtained results it is revealed that the new method is efficient and accurate.
Keywords :
genetic algorithms; overcurrent protection; power system relaying; relay protection; distance relays; genetic algorithm method; intelligent optimization techniques; linear programming; mixed protection scheme; overcurrent relay coordination; power network system; Biological cells; Circuit breakers; Circuit faults; Fault location; Genetic algorithms; Linear programming; Power system relaying; Protection; Protective relaying; Relays; Distance Relay; Genetic Algorithm; Optimal Coordination; Overcurrent Relay;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Universities Power Engineering Conference, 2008. UPEC 2008. 43rd International
Conference_Location :
Padova
Print_ISBN :
978-1-4244-3294-3
Electronic_ISBN :
978-88-89884-09-6
Type :
conf
DOI :
10.1109/UPEC.2008.4651442
Filename :
4651442
Link To Document :
بازگشت