[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:

《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
36
期数:
2015年01期
页码:
6-9
栏目:
出版日期:
2015-01-10

文章信息/Info

Title:
Parameter Optimization of Control System for Back to Back Converter Station based on Genetic Algorithm
作者:
蒋建东王忆张灵娟赵育辉
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):
JIANG Jian-dong1WANG Yi1ZHANG Ling-juan2ZHAO Yu-hui3
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
关键词:
背靠背换流站控制系统参数优化遗传算法
Keywords:
back to back converter station control system opitimization genetic algorithm
分类号:
TM721.1
DOI:
10.3969/ j. issn.1671 -6833.2015.01. 002
文献标志码:
A
摘要:
背靠背换流站控制系统参数优化能够有效改善系统的运行性能.在研究背靠背换流站控制系统的工作原理后,推导出定电流、定电压、定熄弧角和定功率控制方式下系统的数学模型.把时间与绝对误差乘积的积分函数作为遗传算法的适应度函数,即控制系统参数优化的目标函数.给出了遗传算法用于参数优化的寻优过程及其参数的确定方法.最后,以灵宝背靠背换流站控制系统为例,给出了参数的优化结果,分析了换流站交流侧故障时直流系统的暂态过程.结果证明了遗传算法用于背靠背换流站控制系统参数优化的可行性和有效性.
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.
更新日期/Last Update: