Multi-machine power system stabilizer adjustment using genetic algorithms

Shoorangiz Shams Shamsabad Farahani; Mehdi Nikzad; Mohammad Bigdeli Tabar; Mehdi Ghasemi Naraghi and Ali Javadian

doi:10.17485/ijst/2011/v4i8.10

Article

Multi-machine power system stabilizer adjustment using genetic algorithms

VIEWS 640
PDF 369

Abstract
Full-Text HTML
Full-Text PDF
How to Cite

Indian Journal of Science and Technology

DOI: 10.17485/ijst/2011/v4i8.10

Year: 2011, Volume: 4, Issue: 8, Pages: 881-885

Original Article

Multi-machine power system stabilizer adjustment using genetic algorithms

Shoorangiz Shams Shamsabad Farahani, Mehdi Nikzad, Mohammad Bigdeli Tabar, Mehdi Ghasemi Naraghi and Ali Javadian^*

Department of Electrical Engineering, Islamshahr Branch, Islamic Azad University, Tehran, Iran
[email protected], [email protected], [email protected], [email protected], [email protected]

This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

In this paper, the problem of tuning lead-lag power system stabilizer parameters of a multi machine power system is considered. This problem is formulated as an optimization problem, which is solved using Genetic Algorithms (GA). Simulation results show the effectiveness of the proposed Genetic Algorithms-based lead-lag power system stabilizer to damp the oscillation of multimachine system and work effectively under variable loading and fault conditions. The proposed GA-PSS is evaluated on the IEEE 14 bus test system as a multi machine electric power system.
Keywords: Multi machine electric power system, Power system stabilizer, Genetic Algorithms