Small signal stability enhancement of a large scale power system using a bio-inspired whale optimization algorithm

Abstract A whale optimization algorithm (WOA)-based power system stabilizer (PSS) design methodology on modified single machine infinite bus (MSMIB) and multi-machine systems to enhance the small-signal stability (SSS) of the power system is presented. The PSS design methodology is implemented using...

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Autores principales:	Butti Dasu, Sivakumar Mangipudi, Srinivasarao Rayapudi
Formato:	article
Lenguaje:	EN
Publicado:	SpringerOpen 2021
Materias:	Small-signal stability Power system stabilizer Stability Modified single machine infinite bus system Multi-machine system Whale optimization algorithm Distribution or transmission of electric power TK3001-3521 Production of electric energy or power. Powerplants. Central stations TK1001-1841
Acceso en línea:	https://doaj.org/article/7a15b0a1ad4949378c69ce4ccb4a2b48
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spelling	oai:doaj.org-article:7a15b0a1ad4949378c69ce4ccb4a2b482021-11-21T12:40:07ZSmall signal stability enhancement of a large scale power system using a bio-inspired whale optimization algorithm10.1186/s41601-021-00215-w2367-26172367-0983https://doaj.org/article/7a15b0a1ad4949378c69ce4ccb4a2b482021-11-01T00:00:00Zhttps://doi.org/10.1186/s41601-021-00215-whttps://doaj.org/toc/2367-2617https://doaj.org/toc/2367-0983Abstract A whale optimization algorithm (WOA)-based power system stabilizer (PSS) design methodology on modified single machine infinite bus (MSMIB) and multi-machine systems to enhance the small-signal stability (SSS) of the power system is presented. The PSS design methodology is implemented using an eigenvalue (EV)-based objective function. The performance of the WOA is tested with several CEC14 and CEC17 test functions to investigate its potential in optimizing the complex mathematical equations. The New England 10-generator 39-bus system and the MSMIB system operating at various loading conditions are considered as the test systems to examine the proposed method. Extensive simulation results are obtained which validate the effectiveness of the proposed WOA method when compared with other algorithms.Butti DasuSivakumar MangipudiSrinivasarao RayapudiSpringerOpenarticleSmall-signal stabilityPower system stabilizerStabilityModified single machine infinite bus systemMulti-machine systemWhale optimization algorithmDistribution or transmission of electric powerTK3001-3521Production of electric energy or power. Powerplants. Central stationsTK1001-1841ENProtection and Control of Modern Power Systems, Vol 6, Iss 1, Pp 1-17 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Small-signal stability Power system stabilizer Stability Modified single machine infinite bus system Multi-machine system Whale optimization algorithm Distribution or transmission of electric power TK3001-3521 Production of electric energy or power. Powerplants. Central stations TK1001-1841
spellingShingle	Small-signal stability Power system stabilizer Stability Modified single machine infinite bus system Multi-machine system Whale optimization algorithm Distribution or transmission of electric power TK3001-3521 Production of electric energy or power. Powerplants. Central stations TK1001-1841 Butti Dasu Sivakumar Mangipudi Srinivasarao Rayapudi Small signal stability enhancement of a large scale power system using a bio-inspired whale optimization algorithm
description	Abstract A whale optimization algorithm (WOA)-based power system stabilizer (PSS) design methodology on modified single machine infinite bus (MSMIB) and multi-machine systems to enhance the small-signal stability (SSS) of the power system is presented. The PSS design methodology is implemented using an eigenvalue (EV)-based objective function. The performance of the WOA is tested with several CEC14 and CEC17 test functions to investigate its potential in optimizing the complex mathematical equations. The New England 10-generator 39-bus system and the MSMIB system operating at various loading conditions are considered as the test systems to examine the proposed method. Extensive simulation results are obtained which validate the effectiveness of the proposed WOA method when compared with other algorithms.
format	article
author	Butti Dasu Sivakumar Mangipudi Srinivasarao Rayapudi
author_facet	Butti Dasu Sivakumar Mangipudi Srinivasarao Rayapudi
author_sort	Butti Dasu
title	Small signal stability enhancement of a large scale power system using a bio-inspired whale optimization algorithm
title_short	Small signal stability enhancement of a large scale power system using a bio-inspired whale optimization algorithm
title_full	Small signal stability enhancement of a large scale power system using a bio-inspired whale optimization algorithm
title_fullStr	Small signal stability enhancement of a large scale power system using a bio-inspired whale optimization algorithm
title_full_unstemmed	Small signal stability enhancement of a large scale power system using a bio-inspired whale optimization algorithm
title_sort	small signal stability enhancement of a large scale power system using a bio-inspired whale optimization algorithm
publisher	SpringerOpen
publishDate	2021
url	https://doaj.org/article/7a15b0a1ad4949378c69ce4ccb4a2b48
work_keys_str_mv	AT buttidasu smallsignalstabilityenhancementofalargescalepowersystemusingabioinspiredwhaleoptimizationalgorithm AT sivakumarmangipudi smallsignalstabilityenhancementofalargescalepowersystemusingabioinspiredwhaleoptimizationalgorithm AT srinivasaraorayapudi smallsignalstabilityenhancementofalargescalepowersystemusingabioinspiredwhaleoptimizationalgorithm
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Small signal stability enhancement of a large scale power system using a bio-inspired whale optimization algorithm

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