Paper Details: Downloads: 569
Serial Number: P1121139819
Title: Design of Multi-machine Power System Stabilizer Using Bacterial Foraging Algorithm
Authors: G.Naresh and M.Ramalinga Raju and S.V.L.Narasimham
Abstract: In this paper, a novel bacterial foraging algorithm (BFA) based approach for optimal design of the parameters of modern power system stabilizers (PSSs) is proposed for damping low frequency power oscillations of multi-machine power systems. This paper attempts to optimize three constants each of several PSSs present in a multi-machine power system based on foraging behaviour of Escherichia coli bacteria in human intestine. A multi-objective problem is formulated to optimize a composite set of objective functions comprising the damping factor, and the damping ratio of the lightly damped electromechanical modes. The problem of robustly selecting the parameters of the power system stabilizers is converted to an optimization problem which is solved by a bacterial foraging algorithm with the eigenvalue-based multi-objective function. The eigenvalue analysis and non-linear simulation results presented under wide range of operating conditions show the effectiveness and robustness of the proposed controller and its ability to provide efficient damping of low frequency oscillations. Further, all these time domain simulation results are compared with conventional PSS and genetic algorithm based PSS to show the superiority of the proposed design approach.
Keywords: Power system stabilizer (PSS), Bacterial foraging algorithm (BFA), Small signal stability, Multi-machine power system.
Journal/Conference: International Journal of Artificial Intelligence and Machine Learning
Volume: 11
Issue: 2
Submission Date: 9/25/2011 12:00:00 AM
Review Date: 10/24/2011 12:00:00 AM
Publishing Date: 11/8/2011 12:00:00 AM
Article Downloads: 569
Download:

Facebook