Optimal tuning of multi-machine power system stabilizers by the Queen-Bee Evolution technique

Authors:
M Mary Linda;N Kesavan Nair
Affiliations:
Anna University, South India;Department of EEE, CSI Institute of Technology, South India
Venue:
Simulation
Year:
2013

Citing 2
Cited 1

A computational method for solving singular perturbation problems using exponentially fitted finite difference schemes

Applied Mathematics and Computation
Singular Perturbation Methods in Control: Analysis and Design

Singular Perturbation Methods in Control: Analysis and Design

A new optimization approach for multi-machine power system stabilizer design using a smart bacteria foraging algorithm

Simulation

Quantified Score

Hi-index	0.00

Visualization

Abstract

A Queen-Bee Evolution-based tuning of a multi-machine power system stabilizer, which aims at enhancing the damping of the system over a wide range of operating conditions, is introduced in this paper. The basic components of this study are modeled by IEEE Model 1.1 and Heffron-Philips constants, considering the external resistance but neglecting the armature resistance. The problem is then formulated as a constrained multi-objective optimization problem. For investigation purposes, two different test systems are considered. The non-linear time domain simulations of the proposed power system stabilizer are compared with that based on the conventional approach power system stabilizer. The overall transfer function and the characteristic equation of the compensated system are derived from the single equivalent block diagram, and the nature of stability is verified by both frequency response analysis and Routh-Hurwitz (RH) criterion. Simulation results show that the proposed method motivates faster damping and leads to minimal overshoots in both speed and power angle deviations.