DocumentCode :
172348
Title :
The modern optimization algorithms in the application of grounding grid fault diagnosis
Author :
Hu Han ; Xiaobin Cao ; Guangning Wu ; Jinsong Hu ; Fangfang He
Author_Institution :
Sch. of Electr. Eng., Southwest Jiaotong Univ., Chengdu, China
fYear :
2014
fDate :
11-18 Oct. 2014
Firstpage :
1752
Lastpage :
1755
Abstract :
With the development of power system, scale of grounding grid is continuously expanding,thus fault diagnosis of grounding grid becoming more complex. The traditional optimization algorithms a in grounding grid diagnosis gradually appears boundedness, while the advantage of modern optimization algorithms is gradually prominent. Nowadays, a lot of methods of grounding grid fault diagnosis based on modern optimization algorithms have appeared. In this paper, genetic algorithm and particle swarm optimization applied in grounding grid fault diagnosis are introduced and compared with the traditional optimization.
Keywords :
earthing; fault diagnosis; genetic algorithms; particle swarm optimisation; power grids; power system faults; power system protection; genetic algorithm; grounding grid fault diagnosis; particle swarm optimization; power system; Chaos; Genetics; Grounding; Linear programming; Optimization; Search problems; fault dignosis; grounding grid; modern optimization algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Lightning Protection (ICLP), 2014 International Conference o
Conference_Location :
Shanghai
Type :
conf
DOI :
10.1109/ICLP.2014.6973412
Filename :
6973412
Link To Document :
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