2010 International Conference on Advances in Energy Engineering 2010
DOI: 10.1109/icaee.2010.5557589
|View full text |Cite
|
Sign up to set email alerts
|

Optimal overcurrent relay coordination using genetic algorithms

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
13
0
1

Year Published

2012
2012
2023
2023

Publication Types

Select...
5
2
2

Relationship

1
8

Authors

Journals

citations
Cited by 22 publications
(18 citation statements)
references
References 3 publications
0
13
0
1
Order By: Relevance
“…The proposed system was tested with the 6-bus test system as shown in Fig. 3 [6]. The line outage case was considered of performance protection system show in Fig.3.…”
Section: Concept Of Adaptive Relaying Settingmentioning
confidence: 99%
“…The proposed system was tested with the 6-bus test system as shown in Fig. 3 [6]. The line outage case was considered of performance protection system show in Fig.3.…”
Section: Concept Of Adaptive Relaying Settingmentioning
confidence: 99%
“…Simplicity and a lower number of iterations to converge are advantages of this method. Genetic algorithms [8], differential evolution algorithm [9] and particle swarm optimization [10,11] are other methods that have been applied for optimal coordination of OC relays in the power or distribution networks.…”
Section: Introductionmentioning
confidence: 99%
“…However, this problem has been formulated as an optimization problem. Several optimization methods (deterministic, heuristic, hybrid) have been proposed to attack this problem, including linear programming (LP) [7][8][9], particle swarm optimization (PSO) [10][11][12][13], genetic algorithm (GA) [14][15][16][17], hybrid GA, and mixed PSO [18][19][20][21]. These mentioned algorithms have been used in the studies of coordinating the DOCRs off-line for fixed network topologies and also for considering different network topologies [18,22,23].…”
Section: Introductionmentioning
confidence: 99%