DocumentCode :
3218484
Title :
A Study of Co-evolutionary Genetic Algorithm in Relay Protection System
Author :
Wang, Qingliang ; Fu, Zhouxing ; Wang, Xiaojian ; Hou, Yuanbin ; Li, Ning ; Liu, Qing
Author_Institution :
Sch. of Electr. & Control Eng., Xian Univ. of Sci. & Technol., Xian
Volume :
1
fYear :
2008
fDate :
20-22 Oct. 2008
Firstpage :
8
Lastpage :
11
Abstract :
In view of the coordination difficulty problems existing in relay protection system and high security demand of power supply, the global optimization model for protection settings was set up in power supply network based on the analysis of relay characteristics. A new multi-parameter co-evolutionary genetic algorithm, used to optimize the protection settings, was presented and improved with establishing sub-population, cooperative operator and density operator. According to the specific demands of relay protection, the constraint interval coding method was adopted and the weight coefficients in the model were studied. The model with its algorithm was validated with an distribution system test that gave the applicable results. Security and reliability can be effectively guaranteed based on the integrated operation time decreasing in power supply network.
Keywords :
genetic algorithms; power supply quality; power system protection; power system relaying; power system reliability; power system security; relay protection; constraint interval coding method; global optimization model; multiparameter coevolutionary genetic algorithm; power supply network; power supply protection; power supply reliability; power supply security; relay protection system; Genetic algorithms; Intelligent networks; Power supplies; Power system modeling; Power system protection; Power system relaying; Power system reliability; Power system security; Protective relaying; System testing; co-evolutionary genetic algorithm; cooperative operator; density operator; power supply security; setting optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location :
Hunan
Print_ISBN :
978-0-7695-3357-5
Type :
conf
DOI :
10.1109/ICICTA.2008.217
Filename :
4659432
Link To Document :
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