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Power system stabilizer optimization using BBO algorithm for a better damping of rotor oscillations owing to small disturbances

In a practical power system, the synchronous generators should cope with changes in both real and reactive power demand. In general, stabilization of real power variations is possible by rescheduling the operation of generators. To control the demand of the reactive power load, electric limits of th...

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Main Authors: Kasilingam, G., Pasupuleti, J., Bharatiraja, C., Adedayo, Y.
Format: Article
Language:English
Published: 2020
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spelling my.uniten.dspace-133302020-07-03T04:43:54Z Power system stabilizer optimization using BBO algorithm for a better damping of rotor oscillations owing to small disturbances Kasilingam, G. Pasupuleti, J. Bharatiraja, C. Adedayo, Y. In a practical power system, the synchronous generators should cope with changes in both real and reactive power demand. In general, stabilization of real power variations is possible by rescheduling the operation of generators. To control the demand of the reactive power load, electric limits of the excitation loop is adjusted to initiate the reactive power of the network. In order to accelerate the reactive power delivery, a power system stabilizer (PSS) is connected to the generator through an exciter. We introduce here a latest biogeography-based optimization (BBO) algorithm to adjust PSS parameters for different operating conditions in order to improve the stability margin and the system damping. This is possible when the integral square error (ISE), which is the objective function, of the speed deviation in asynchronous machine intended to a range of turbulence is reduced. A relative comparative study is conducted between the algorithms such as BBO, particle swarm optimization (PSO) and the adaptation law based PSS on SMIB. The simulation results indicate that when compared to other available methods, the BBO algorithm damps out low-frequency oscillations in the synchronous machine rotor in an effective manner. Algorithms are simulated with the help of MATLAB®and Simulink®. Results obtained from simulations indicate that the recommended algorithm yields rapid convergence rate and improved dynamic performance; system stability, efficiency, dynamism and reliability are also improved. © Faculty of Mechanical Engineering, Belgrade. 2020-02-03T03:31:52Z 2020-02-03T03:31:52Z 2019 Article 10.5937/fmet1901166K en
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
language English
description In a practical power system, the synchronous generators should cope with changes in both real and reactive power demand. In general, stabilization of real power variations is possible by rescheduling the operation of generators. To control the demand of the reactive power load, electric limits of the excitation loop is adjusted to initiate the reactive power of the network. In order to accelerate the reactive power delivery, a power system stabilizer (PSS) is connected to the generator through an exciter. We introduce here a latest biogeography-based optimization (BBO) algorithm to adjust PSS parameters for different operating conditions in order to improve the stability margin and the system damping. This is possible when the integral square error (ISE), which is the objective function, of the speed deviation in asynchronous machine intended to a range of turbulence is reduced. A relative comparative study is conducted between the algorithms such as BBO, particle swarm optimization (PSO) and the adaptation law based PSS on SMIB. The simulation results indicate that when compared to other available methods, the BBO algorithm damps out low-frequency oscillations in the synchronous machine rotor in an effective manner. Algorithms are simulated with the help of MATLAB®and Simulink®. Results obtained from simulations indicate that the recommended algorithm yields rapid convergence rate and improved dynamic performance; system stability, efficiency, dynamism and reliability are also improved. © Faculty of Mechanical Engineering, Belgrade.
format Article
author Kasilingam, G.
Pasupuleti, J.
Bharatiraja, C.
Adedayo, Y.
spellingShingle Kasilingam, G.
Pasupuleti, J.
Bharatiraja, C.
Adedayo, Y.
Power system stabilizer optimization using BBO algorithm for a better damping of rotor oscillations owing to small disturbances
author_facet Kasilingam, G.
Pasupuleti, J.
Bharatiraja, C.
Adedayo, Y.
author_sort Kasilingam, G.
title Power system stabilizer optimization using BBO algorithm for a better damping of rotor oscillations owing to small disturbances
title_short Power system stabilizer optimization using BBO algorithm for a better damping of rotor oscillations owing to small disturbances
title_full Power system stabilizer optimization using BBO algorithm for a better damping of rotor oscillations owing to small disturbances
title_fullStr Power system stabilizer optimization using BBO algorithm for a better damping of rotor oscillations owing to small disturbances
title_full_unstemmed Power system stabilizer optimization using BBO algorithm for a better damping of rotor oscillations owing to small disturbances
title_sort power system stabilizer optimization using bbo algorithm for a better damping of rotor oscillations owing to small disturbances
publishDate 2020
_version_ 1672614223114403840
score 13.222552

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