Optimal tuning of power system stabilizers by probability method

2016 ◽  
Author(s):  
Korakot Thanpisit ◽  
Issarachai Ngamroo ◽  
Worawat Nakawiro
Keyword(s):  
Power System ◽  
Probability Method ◽  
Power System Stabilizers ◽  
Optimal Tuning

Optimal Tuning and Placement of Power System Stabilizers Based Eigenvalue

2016 ◽  
Vol 3 (2) ◽  
pp. 273
Author(s):  
Lawrence Bibaya ◽  
Chongru Liu
Keyword(s):  
Particle Swarm Optimization ◽  
Power System ◽  
Modal Analysis ◽  
Particle Swarm ◽  
Optimal Location ◽  
Power System Stabilizers ◽  
Swarm Optimization ◽  
Local Modes ◽  
Optimal Tuning ◽  
Participation Factor

<p>In this paper, an eigenvalue assignment based Particle Swarm Optimization and Participation Factor for Optimal tuning and placement of power system stabilizers is proposed. The proposed approach presents a two-step methodology to find optimal location and parameters of PSS. The Participation Factor method is computed using the modal analysis toolbox from DIgSILENT, and used to determine the power system stabilizers optimal location. A Particle Swarm Optimization algorithm is written in MATLAB to search the power system stabilizers optimal parameters. Two eigenvalue-based objective functions to ensure a maximum damping of the inter-area modes as well as of the local modes by assigning them in a robust stability area are considered. The performance of the proposed approach is tested and examined on the four-machine two-area power system. Linear modal analysis and non-linear time domain simulations show the robustness of the proposed approach.</p>

Sign in / Sign up

Export Citation Format

Share Document