DocumentCode :
3291150
Title :
Application of binary particle swarm optimization in feature selection for transient stability assessment
Author :
Cao, Man ; Wang, Yajun
Author_Institution :
Dept. of Electr. Eng., Ordnance Eng. Coll., Shijiazhuang, China
fYear :
2011
fDate :
15-17 April 2011
Firstpage :
5719
Lastpage :
5722
Abstract :
For the disadvantage of traditional method in the feature selection of power system transient stability assessment, a new method is proposed based on binary particle swarm optimization (BPSO) algorithm. This method can find the model feature set that can reflect the physical natural characteristic of power system transient stability directly or indirectly and illustrate the system dynamic characteristic better. The proposed approach can reduce the input dimension by using Euclidean distance as the fitness function. The test on 8-machine 36-bus system of EPRI reveals the validity of the method mentioned.
Keywords :
particle swarm optimisation; power system transient stability; Euclidean distance; binary particle swarm optimization algorithm; feature selection; fitness function; power system transient stability assessment; system dynamic characteristic; Particle swarm optimization; Power system stability; Stability analysis; Thermal stability; Transient analysis; feature selection; particle swarm optimization; power system; transient stability assessment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
Type :
conf
DOI :
10.1109/ICEICE.2011.5778204
Filename :
5778204
Link To Document :
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