DocumentCode
3472065
Title
Coordinated design of PSS and STATCOM parameters for power system stability improvement using genetic algorithm
Author
Zarringhalami, Masoud ; Golkar, M.A.
Author_Institution
K.N.Toosi Univ. of Technol., Tehran
fYear
2008
fDate
6-9 April 2008
Firstpage
1453
Lastpage
1459
Abstract
In this paper the Parameters of the classic PSS and STATCOM internal AC and DC voltage controllers and AC-damping stabilizer are designed in order to damp the Low Frequency Oscillations (LFO). The STATCOM is used for adjusting the voltage in line and the dynamic effect of STATCOM is considered. The design of PSS and STATCOM parameters is considered as an optimization problem and GA is used for searching optimized parameters. The introduced objective function in this paper is based on the system modes of oscillation considering all modes in the objective function. The participation factors method is used for identifying the type of each mode. The study is performed on the linearized power system model with presence of STATCOM and PSS. The analysis of the eigenvalue method is used for optimal parameter adjustment. These studies are performed for five operating points. The designing results are performed using nonlinear simulation. The results show that the design according to simultaneous optimization is an effective procedure for power system stability improvement.
Keywords
genetic algorithms; power system stability; dynamic stability; genetic algorithm; low frequency oscillations; power system stability; Algorithm design and analysis; Automatic voltage control; Design optimization; Frequency; Genetic algorithms; Power system dynamics; Power system modeling; Power system simulation; Power system stability; Voltage control; Dynamic Stability; Genetic Algorithm; Optimization; PSS; STATCOM;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
Conference_Location
Nanjuing
Print_ISBN
978-7-900714-13-8
Electronic_ISBN
978-7-900714-13-8
Type
conf
DOI
10.1109/DRPT.2008.4523634
Filename
4523634
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