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

Simple item page
dc.citedby10
dc.contributor.authorMohamad Zamani M.K.en_US
dc.contributor.authorMusirin I.en_US
dc.contributor.authorHassan H.en_US
dc.contributor.authorShaaya S.A.en_US
dc.contributor.authorSulaiman S.I.en_US
dc.contributor.authorGhani N.A.M.en_US
dc.contributor.authorSuliman S.I.en_US
dc.contributor.authorid57193428895en_US
dc.contributor.authorid8620004100en_US
dc.contributor.authorid57188844823en_US
dc.contributor.authorid16022846200en_US
dc.contributor.authorid56207226400en_US
dc.contributor.authorid57215593148en_US
dc.contributor.authorid14034477200en_US
dc.date.accessioned2023-05-29T06:53:07Z
dc.date.available2023-05-29T06:53:07Z
dc.date.issued2018
dc.description.abstractThis 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.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.11591/ijeecs.v9.i2.pp365-372
dc.identifier.epage372
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85040037645
dc.identifier.spage365
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85040037645&doi=10.11591%2fijeecs.v9.i2.pp365-372&partnerID=40&md5=16b6ff8a6eabceabe4041e46157287dc
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23915
dc.identifier.volume9
dc.publisherInstitute of Advanced Engineering and Scienceen_US
dc.relation.ispartofAll Open Access, Green
dc.sourceScopus
dc.sourcetitleIndonesian Journal of Electrical Engineering and Computer Science
dc.titleActive and reactive power scheduling optimization using firefly algorithm to improve voltage stability under load demand variationen_US
dc.typeArticleen_US
dspace.entity.typePublication
Files
Collections
SCOPUS