[1]秦东晨,谢银倩,潘守辰,等.某纯电动汽车动力系统的建模与仿真分析研究[J].郑州大学学报(工学版),2013,34(05):48-51,73.[doi:10.3969/j.issn.1671-6833.2013.05.010]
　LIU Xian-lin,QIAO Yun-fei.Study on PSS Parameter Optimization Based on Artificial Fish-swarm Algorithm[J].Journal of Zhengzhou University (Engineering Science),2013,34(05):48-51,73.[doi:10.3969/j.issn.1671-6833.2013.05.010]
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某纯电动汽车动力系统的建模与仿真分析研究()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
34
期数:
2013年05期
页码:
48-51,73
栏目:
出版日期:
2013-09-10

文章信息/Info

Title:
Study on PSS Parameter Optimization Based on Artificial Fish-swarm Algorithm
作者:
秦东晨; 谢银倩; 潘守辰; 等.
郑州大学机械工程学院,河南郑州,450001, 郑州大学机械工程学院,河南郑州,450001, 郑州大学机械工程学院,河南郑州,450001, 郑州大学机械工程学院,河南郑州,450001, 郑州大学机械工程学院,河南郑州,450001
Author(s):
LIU Xian-lin; QIAO Yun-fei
School of Electric Engineering，Zhengzhou University，Zhengzhou 450001 , China
关键词:
电动汽车;  动力系统;  参数匹配;  建模和仿真分析
Keywords:
artificial fish-swarm algorithm;  power system stabilizer ;  optimization;  small signal stability analy-sis
分类号:
U469.72
DOI:
10.3969/j.issn.1671-6833.2013.05.010
摘要:
电动汽车的节能环保性能主要取决于动力系统的参数匹配.针对某款纯电动汽车的动力设计要求,笔者进行了动力系统参数匹配设计,并运用ADVISOR软件进行了建模和仿真分析,结果验证了参数匹配的合理性,并在此基础上进一步探究影响该车整车性能的因素,为纯电动汽车的设计提供理论参考.
Abstract:
In order to improve the dynamic stability of power grid and restrain low frequency oscillations effec-tively,research on optimization and improvements of the algorithm is developed for power system stabilizer. Inthis paper,all PSS parameters are conducted as an optimization problem,the best PSS parameters are figuredout by artificial fish-swarm algorithm.Maximizing the minimum damping ratio of all electromechanical mode ischosen for the optimal objective function. PSS parameters are chosen for optimal variable,design of PSS pa-rameters based on the equivalence method of K matrix is used as the benchmark for initial population selectionof artificial fish-swarm algorithm. Good damping can be got for all electromechanical modes of the multima-chine system when using this method,compared with the conventional PSS configuration method.Calculatedresults are consistent with the expected results basically,which shows that the designed optimal algorithm is ef-fective.

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更新日期/Last Update: 1900-01-01