Parameter Optimization of Control System for Back to Back Converter Station based on Genetic Algorithm
[1]JIANG Jian-dong,WANG Yi,ZHANG Ling-juan,et al.Parameter Optimization of Control System for Back to Back Converter Station based on Genetic Algorithm[J].Journal of Zhengzhou University (Engineering Science),2015,36(01):6-9.[doi:10.3969/j.issn.1671-6833.2015.01.002]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
36
Number of periods:
2015 01
Page number:
6-9
Column:
Public date:
2015-01-10
- Title:
- Parameter Optimization of Control System for Back to Back Converter Station based on Genetic Algorithm
- CLC:
- TM721.1
- Abstract:
- Parameters optimization of control system for back to back converter station is a effective way to im-prove system operating performance. This paper researches the work theory of control system,derivates mathe-matical model of control system mode,such as constant current mode,constant extinction angle mode,con-stant voltage mode and constant power mode. Choosing ITAE performance index as genetic algorithm ( GA) a-daptive function and the value of objective function for parameters optimization,also is the process of parame-ters optimization. Parameters determining method for GA is provided in this paper. Basing on this method ,u-sing Lingbao back to back converter station as an example,the results of final optimizating parameters ara giv-en. Accodding to performance in transient process when AC side is in fault,genetic algorithm provided in pa-rameters optimization for back tp back converter station is effective and feasible.
- References:
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