DocumentCode :
128791
Title :
Application of MPSO based staircase modulation strategy in MMC
Author :
Yaoqian Li ; Zhiqin Lin ; Xiaofeng Yang ; Zheng, Trillion Q. ; Mingzhi He
Author_Institution :
Sch. of Electr. Eng., Beijing Jiaotong Univ., Beijing, China
fYear :
2014
fDate :
9-11 June 2014
Firstpage :
2209
Lastpage :
2215
Abstract :
A staircase modulation strategy based on modified particle swarm optimization (MPSO) algorithm is presented in this paper to solve the key problem of staircase modulation in modular multilevel converter. Firstly, each harmonic of output voltage is analyzed, and the object function is optimized. Then the modified MPSO, which has the merit of high accuracy, was adopted for calculating the switching angles. Considering the voltage balancing requirements, the square wave pulses rotation method and staircase modulation strategy are combined together to reduce the voltage ripple of floating capacitor. Voltage balancing control is achieved without extra voltage controls. Both the simulation and experimental results of five-level MMC prototype verified the feasibility and effectiveness of the proposed strategy.
Keywords :
modulation; particle swarm optimisation; power conversion harmonics; switching convertors; voltage control; MPSO algorithm; five-level MMC prototype; floating capacitor; modified particle swarm optimization algorithm; modular multilevel converter; square wave pulses rotation method; staircase modulation strategy; switching angles; voltage balancing control; voltage balancing requirements; voltage ripple; Capacitors; Harmonic analysis; Mathematical model; Modulation; Power harmonic filters; Switches; Voltage control; modified particle swarm optimization algorithm; modular multilevel converter; square wave pulse rotation method; staircase modulation strategy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-4316-6
Type :
conf
DOI :
10.1109/ICIEA.2014.6931539
Filename :
6931539
Link To Document :
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