[1]蒋建东,王忆,张灵娟,等.基于遗传算法的背靠背换流站控制系统参数优化[J].郑州大学学报(工学版),2015,36(01):6-9.[doi:10.3969/ j. issn.1671 -6833.2015.01. 002] 　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] 点击复制 基于遗传算法的背靠背换流站控制系统参数优化() 分享到： var jiathis_config = { data_track_clickback: true };

36

2015年01期

6-9

2015-01-10

文章信息/Info

Title:
Parameter Optimization of Control System for Back to Back Converter Station based on Genetic Algorithm

1.郑州大学电气工程学院,河南郑州450001; 2.国家电网河南省电力公司技能培训中心,河南郑州450001 ;3.中色科技股份有限公司,河南洛阳471002
Author(s):
1.School of Eletrical Engineering，Zhengzhou University，Zhengzhou 450001, China; 2. State Grid Henan Skills TraimingGenter,Zhengzhou 450001 ,China; 3.China Nonferrous Metals Processing ’Technology Co. ,L.d ，Luoyang 471002，China

Keywords:

TM721.1
DOI:
10.3969/ j. issn.1671 -6833.2015.01. 002

A

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.