DocumentCode :
2938944
Title :
An Improved Particle Swarm Optimization Algorithm for Reactive Power Optimization
Author :
Li Ran ; Sheng Si-qing
Author_Institution :
Dept. of Electr. Eng., North China Electr. Power Univ., Baoding, China
fYear :
2011
fDate :
25-28 March 2011
Firstpage :
1
Lastpage :
5
Abstract :
This paper presents an improved particle swarm optimization algorithm (IPSO) to optimal reactive power dispatch and voltage control of power system. The improved particle swarm optimization algorithm introduces the adaptive inertia factor into the classical swarm algorithm to improve the global search capability and accelerate the searching speed. Study the DPSO algorithm to construct the collection of discrete solution values and the collection of discrete velocity values, then the transformer taps and the reactive power source accurately described as discrete value during the whole optimization process. By this way, making the variable expression accurately reflects the actual situation, optimized results are more realistic. The IPSO applied for reactive power optimization is evaluated on an IEEE 30-bus power system. Simulation results compared with the others same type algorithms, proved its effectiveness and superiority.
Keywords :
particle swarm optimisation; power system control; reactive power control; voltage control; DPSO algorithm; IEEE 30-bus power system; IPSO; improved particle swarm optimization algorithm; optimal reactive power dispatch; power system; reactive power optimization; voltage control; Algorithm design and analysis; Convergence; Generators; Optimization; Particle swarm optimization; Reactive power;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2011 Asia-Pacific
Conference_Location :
Wuhan
ISSN :
2157-4839
Print_ISBN :
978-1-4244-6253-7
Type :
conf
DOI :
10.1109/APPEEC.2011.5748989
Filename :
5748989
Link To Document :
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