This paper presents a new optimal design for the stability and control of the synchronous machine connected to an infinite bus. The model of the synchronous machine is 4th order linear Philips-Heffron synchronous machine. In this study, a PID controller is utilized for stability and its parameters have been achieved optimally by minimizing a fitness function to removes the unstable Eigen-values to the left-hand side of the imaginary axis. The considered parameters of the PID controller are optimized based on a new nature-inspired, called moth search algorithm. The proposed system is then compared with the particle swarm optimization as a high-performance and popular algorithm for different operating points. Final results show that using a moth search algorithm gives better efficiency toward the compared particle swarm optimization.
%0 Book Section
%1 Vania_V._Estrela_83560220
%A Estrela, Vania V.
%A Razmjooy, Navid
%A Razmjooy, Saeid
%A Vahedi, Zahra
%A Estrela, Vania Vieira
%A de Oliveira, Gabriel Gomes
%B Metaheuristics and Optimization in Computer and Electrical Engineering
%D 2021
%I Springer
%K computational_intelligent control green_design imported metaheuristics myown power_system_stabilizer smart_design smart_grid soft_computing
%P 187 - 202
%R 10.1007/978-3-030-56689-0\_10
%T A New Design for Robust Control of Power System Stabilizer Based on Moth Search Algorithm
%U http://doi.org/10.1007/978-3-030-56689-0\_10
%X This paper presents a new optimal design for the stability and control of the synchronous machine connected to an infinite bus. The model of the synchronous machine is 4th order linear Philips-Heffron synchronous machine. In this study, a PID controller is utilized for stability and its parameters have been achieved optimally by minimizing a fitness function to removes the unstable Eigen-values to the left-hand side of the imaginary axis. The considered parameters of the PID controller are optimized based on a new nature-inspired, called moth search algorithm. The proposed system is then compared with the particle swarm optimization as a high-performance and popular algorithm for different operating points. Final results show that using a moth search algorithm gives better efficiency toward the compared particle swarm optimization.
@incollection{Vania_V._Estrela_83560220,
abstract = {This paper presents a new optimal design for the stability and control of the synchronous machine connected to an infinite bus. The model of the synchronous machine is 4th order linear Philips-Heffron synchronous machine. In this study, a PID controller is utilized for stability and its parameters have been achieved optimally by minimizing a fitness function to removes the unstable Eigen-values to the left-hand side of the imaginary axis. The considered parameters of the PID controller are optimized based on a new nature-inspired, called moth search algorithm. The proposed system is then compared with the particle swarm optimization as a high-performance and popular algorithm for different operating points. Final results show that using a moth search algorithm gives better efficiency toward the compared particle swarm optimization.},
added-at = {2021-04-21T11:45:34.000+0200},
author = {Estrela, Vania V. and Razmjooy, Navid and Razmjooy, Saeid and Vahedi, Zahra and Estrela, Vania Vieira and de Oliveira, Gabriel Gomes},
biburl = {https://www.bibsonomy.org/bibtex/2ece48cbdeb46b83cb3c1ec954103e68a/vaniave},
booktitle = {Metaheuristics and Optimization in Computer and Electrical Engineering},
doi = {10.1007/978-3-030-56689-0\_10},
interhash = {fc88d71dc8245d89999502e0ebc20fc0},
intrahash = {ece48cbdeb46b83cb3c1ec954103e68a},
keywords = {computational_intelligent control green_design imported metaheuristics myown power_system_stabilizer smart_design smart_grid soft_computing},
language = {English},
pages = {187 - 202},
publisher = {Springer},
timestamp = {2021-05-16T20:21:27.000+0200},
title = {A New Design for Robust Control of Power System Stabilizer Based on Moth Search Algorithm},
type = {Publication},
url = {http://doi.org/10.1007/978-3-030-56689-0\_10},
year = 2021
}