Paper Info
Title
Tuning of power system stabilizer employing differential evolution optimization algorithm
Abstract
In this paper, differential evolution (DE) optimization algorithm is applied to design robust power system stabilizer (PSS). The design problem of the proposed controller is formulated as an optimization problem and DE is employed to search for optimal controller parameters. By minimizing the time-domain based objective function, in which the deviation in the oscillatory rotor speed of the generator is involved; stability performance of the system is improved. The non-linear simulation results are presented under wide range of operating conditions; disturbances at different locations as well as for various fault clearing sequences to show the effectiveness and robustness of the proposed controller and their ability to provide efficient damping of low frequency oscillations.
Year
DOI
Venue
2011
10.1007/978-3-642-27172-4_8
SEMCCO (1)
Keywords
Field
DocType
optimal controller parameter,robust power system stabilizer,optimization algorithm,non-linear simulation result,different location,differential evolution optimization algorithm,design problem,optimization problem,proposed controller,differential evolution,low frequency oscillation
Low frequency,Control theory,Oscillation,Control theory,Computer science,Electric power system,Robustness (computer science),Differential evolution,Optimization algorithm,Optimization problem
Conference
Volume
ISSN
Citations 
7076
0302-9743
1
PageRank 
References 
Authors
0.37
3
2
Name
Order
Citations
PageRank
Subhransu Sekhar Tripathi110.37
Sidhartha Panda221124.23