# [1]刘宪林,乔云飞..基于人工鱼群算法的电力系统稳定器参数优化研究[J].郑州大学学报(工学版),2013,34(05):68-73.[doi:10.3969/j.issn.1671-6833.2013.05.015] 　LIU Xian-in,QIAO Yun-fei.Study on PSS Parameter Optimization Based on Artificial Fish-swarm Algorithm[J].Journal of Zhengzhou University (Engineering Science),2013,34(05):68-73.[doi:10.3969/j.issn.1671-6833.2013.05.015] 点击复制 基于人工鱼群算法的电力系统稳定器参数优化研究() 分享到： var jiathis_config = { data_track_clickback: true };

34卷

2013年05期

68-73

2013-09-10

## 文章信息/Info

Title:
Study on PSS Parameter Optimization Based on Artificial Fish-swarm Algorithm

Author(s):
School of Electric Engineering,Zhengzhou University,Zhengzhou 450001,China

Keywords:

TM712
DOI:
10.3969/j.issn.1671-6833.2013.05.015

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 PSsS 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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