DocumentCode :
167614
Title :
The application of dynamic multi-swarm particle swarm optimization in the optimial dispatch of loads of thermal power unit
Author :
Meng Xin ; Gao Junru ; Li Peng ; She Na
Author_Institution :
Hebei Univ. of Eng., Handan, China
fYear :
2014
fDate :
8-9 May 2014
Firstpage :
573
Lastpage :
576
Abstract :
In this paper, a dynamic multi-swarm particle swarm optimization was carried out for the loads distribution method of thermal power plant, which avoids the standard particle swarm optimization easy to fall into local optimum faults. By dividing the particle swarm splits into two child particle swarm, which increases the diversity, enhances the exchange of information between particle swarm, obviously improves the convergence speed and precision and has better the globally researching optimization capability. By putting the algorithm into the optimal distribution of load of concrete problems, its effectiveness was verified.
Keywords :
load distribution; particle swarm optimisation; thermal power stations; convergence speed; dynamic multiswarm particle swarm optimization; load distribution method; optimial dispatch; thermal power unit; Discharges (electric); Neural networks; Optimization; MATLAB; dynamic multi-swarm particle swarm optimization; load distribution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Computer and Applications, 2014 IEEE Workshop on
Conference_Location :
Ottawa, ON
Type :
conf
DOI :
10.1109/IWECA.2014.6845685
Filename :
6845685
Link To Document :
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