The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS
Transactions ID Number: 52-454
Full Name: Liang Zhang
Position: Ph.D. Candidate
Age: ON
Sex: Male
Address: CLASS A0703191,SHANGHAI JIAOTONG UNIVERSITY,SHANGHAI
Country: CHINA
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E-mail address: liangzhdream@sjtu.edu.cn
Other E-mails: zhldream@126.com
Title of the Paper: optimization of inductor based on genetic algorithm for the medium voltage cascade converter with active front end
Authors as they appear in the Paper: Liang Zhang,Guodong Chen,Xu Cai
Email addresses of all the authors: liangzhdream@sjtu.edu.cn,gudu1982@hotmail.com,xucai@sjtu.edu.cn
Number of paper pages: 10
Abstract: This paper proposes an optimization method based on genetic algorithm to design an optimal inductance value for each power cell of medium voltage cascade converter with Active Front End. Several aspects influencing the inductor option are firstly discussed, including the line current ripple, the dynamic response performance, the space requirements, and the efficiency. Then, according to the discussion, a nonlinear multi-objective mathematical model for the inductance optimization is presented. To validate the method advantages, some simulations are done in MATLAB/PLECS. Experiments are also tested in a prototype. The corresponding results demonstrate that the optimization reduces the inductance value, which not only meets the requirements, but also improves the device structural design.
Keywords: Medium voltage converter, cascade multi level, active front end (AFE), optimization, genetic algorithm
EXTENSION of the file: .pdf
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