Design of Multi-Machine Power System Stabilizers using Gravitational Search Algorithm
M. Ramakrishna1, G. Naresh2

1M. Ramakrishna, Department of Electrical & Electronics Engineering, Pragati Engineering College, Surampalem. (Andhra Pradesh) India.
2G. Naresh, Department of Electrical & Electronics Engineering, Pragati Engineering College, Surampalem. (Andhra Pradesh) India

Manuscript received on January 09, 2016. | Revised Manuscript received on January 21, 2016. | Manuscript published on March 05, 2016. | PP: 7-14 | Volume-6 Issue-1, March 2016. | Retrieval Number: A2792036116/2016©BEIESP
Open Access | Ethics and Policies | Cite 
© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Power system stabilizers (PSS) are used to generate supplementary control signals for the excitation system to damp electromechanical oscillations. This paper presents an approach based on the law of gravity and mass interactions called Gravitational Search Algorithm (GSA) fortuning the parameters of PSSs in a multi-machine power system.These stabilizers are tuned simultaneously to shift the lightly damped and undammed electromechanical modes of all plants to a prescribed zone in the s-plane. 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 performance of the proposed PSS under different disturbances, loading conditions, and system configurations is investigated on New England 10- machine, 39-bus power system. Non-linear time domain simulation results are presented under wide range of operating conditions and disturbances at different locations to show the effectiveness of the proposed GSA based PSS and their ability to provide efficient damping of low frequency oscillations.
Keywords: Power System Stabilizer, Electromechanical Oscillations, Gravitational Search Algorithm, Multi-machine Power System.