Title :
A study on optimization of passive filter design
Author :
Ren Mingwei ; Sun Yukun ; Rao Xiang
Author_Institution :
Sch. of Electr. & Inf. Eng., Jiangsu Univ., Zhenjiang, China
Abstract :
Passive filter is widely used in the fields of harmonics suppression and reactive power compensation of power networks for its low cost. In this paper, chaotic genetic algorithm is proposed, which is applied to parameters optimization of passive filter. Through modifying the mutation operator, mutation rate and crossover rate, and introducing chaotic sequence to avoid local optimum, the optimization efficiency and precision are improved. Test function and case study show the effectiveness of the proposed method.
Keywords :
genetic algorithms; passive filters; power harmonic filters; chaotic genetic algorithm; chaotic sequence; crossover rate; harmonics suppression; mutation operator; mutation rate; parameters optimization; passive filter design; power networks; reactive power compensation; Artificial neural networks; Chaos; Frequency modulation; Harmonics suppression; Optimization; Passive filters; Reactive power; Chaos; Genetic algorithm; Optimization; Passive filter;
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6
