Study on PSS Parameter Optimization Based on Artificial Fish-swarm Algorithm
[1]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]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
34
Number of periods:
2013 05
Page number:
68-73
Column:
Public date:
2013-09-10
- Title:
- Study on PSS Parameter Optimization Based on Artificial Fish-swarm Algorithm
- Keywords:
- artificial fish-swarm algorithm; power system stabilizer; optimization; small signal stability analy-sis
- CLC:
- TM712
- 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.
- References:
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- Similar References:
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Last Update:
1900-01-01