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Active and reactive power scheduling optimization using firefly algorithm to improve voltage stability under load demand variation

This paper presents active and reactive power scheduling using firefly algorithm (FA) to improve voltage stability under load demand variation. The study involves the development of firefly optimization engine for power scheduling process involving the active and reactive power for wind generator. T...

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Main Authors:	Mohamad Zamani M.K., Musirin I., Hassan H., Shaaya S.A., Sulaiman S.I., Ghani N.A.M., Suliman S.I.
Other Authors:	57193428895
Format:	Article
Published:	Institute of Advanced Engineering and Science 2023
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id	my.uniten.dspace-23915
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spelling	my.uniten.dspace-239152023-05-29T14:53:07Z Active and reactive power scheduling optimization using firefly algorithm to improve voltage stability under load demand variation Mohamad Zamani M.K. Musirin I. Hassan H. Shaaya S.A. Sulaiman S.I. Ghani N.A.M. Suliman S.I. 57193428895 8620004100 57188844823 16022846200 56207226400 57215593148 14034477200 This paper presents active and reactive power scheduling using firefly algorithm (FA) to improve voltage stability under load demand variation. The study involves the development of firefly optimization engine for power scheduling process involving the active and reactive power for wind generator. The scheduling optimization of wind generator is tested by using IEEE 30-Bus Reliability Test System (RTS). Voltage stability of the system is assessed based in a pre-developed voltage stability indicator termed as fast voltage stability index (FVSI). This study also considers the effects on the loss and voltage profile of the system resulted from the optimization, where the FVSI value at the observed line, minimum voltage of the system and loss were monitored during the load increment. Results obtained from the study are convincing in addressing the scheduling of power in wind generator. Implementation of FA approach to solve power scheduling revealed its flexibility and feasible for solving larger system within different objective functions. � 2018 Institute of Advanced Engineering and Science. All rights reserved. Final 2023-05-29T06:53:07Z 2023-05-29T06:53:07Z 2018 Article 10.11591/ijeecs.v9.i2.pp365-372 2-s2.0-85040037645 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85040037645&doi=10.11591%2fijeecs.v9.i2.pp365-372&partnerID=40&md5=16b6ff8a6eabceabe4041e46157287dc https://irepository.uniten.edu.my/handle/123456789/23915 9 2 365 372 All Open Access, Green Institute of Advanced Engineering and Science Scopus
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/
description	This paper presents active and reactive power scheduling using firefly algorithm (FA) to improve voltage stability under load demand variation. The study involves the development of firefly optimization engine for power scheduling process involving the active and reactive power for wind generator. The scheduling optimization of wind generator is tested by using IEEE 30-Bus Reliability Test System (RTS). Voltage stability of the system is assessed based in a pre-developed voltage stability indicator termed as fast voltage stability index (FVSI). This study also considers the effects on the loss and voltage profile of the system resulted from the optimization, where the FVSI value at the observed line, minimum voltage of the system and loss were monitored during the load increment. Results obtained from the study are convincing in addressing the scheduling of power in wind generator. Implementation of FA approach to solve power scheduling revealed its flexibility and feasible for solving larger system within different objective functions. � 2018 Institute of Advanced Engineering and Science. All rights reserved.
author2	57193428895
author_facet	57193428895 Mohamad Zamani M.K. Musirin I. Hassan H. Shaaya S.A. Sulaiman S.I. Ghani N.A.M. Suliman S.I.
format	Article
author	Mohamad Zamani M.K. Musirin I. Hassan H. Shaaya S.A. Sulaiman S.I. Ghani N.A.M. Suliman S.I.
spellingShingle	Mohamad Zamani M.K. Musirin I. Hassan H. Shaaya S.A. Sulaiman S.I. Ghani N.A.M. Suliman S.I. Active and reactive power scheduling optimization using firefly algorithm to improve voltage stability under load demand variation
author_sort	Mohamad Zamani M.K.
title	Active and reactive power scheduling optimization using firefly algorithm to improve voltage stability under load demand variation
title_short	Active and reactive power scheduling optimization using firefly algorithm to improve voltage stability under load demand variation
title_full	Active and reactive power scheduling optimization using firefly algorithm to improve voltage stability under load demand variation
title_fullStr	Active and reactive power scheduling optimization using firefly algorithm to improve voltage stability under load demand variation
title_full_unstemmed	Active and reactive power scheduling optimization using firefly algorithm to improve voltage stability under load demand variation
title_sort	active and reactive power scheduling optimization using firefly algorithm to improve voltage stability under load demand variation
publisher	Institute of Advanced Engineering and Science
publishDate	2023
_version_	1806427893187739648
score	13.222552

Active and reactive power scheduling optimization using firefly algorithm to improve voltage stability under load demand variation

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