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Design of fractional evolutionary processing for reactive power planning with FACTS devices

2021Journal article Open access
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dc.contributor.authorMuhammad, Yasir
dc.contributor.authorAkhtar, Rizwan
dc.contributor.authorKhan, Rahimdad
dc.contributor.authorUllah, Farman
dc.contributor.authorRaja, Muhammad Asif Zahoor
dc.contributor.authorMachado, J. A. Tenreiro
dc.date.accessioned2021-09-29T15:08:45Z
dc.date.available2021-09-29T15:08:45Z
dc.date.issued2021
dc.description.abstractReactive power dispatch is a vital problem in the operation, planning and control of power system for obtaining a fixed economic load expedition. An optimal dispatch reduces the grid congestion through the minimization of the active power loss. This strategy involves adjusting the transformer tap settings, generator voltages and reactive power sources, such as flexible alternating current transmission systems (FACTS). The optimal dispatch improves the system security, voltage profile, power transfer capability and overall network efficiency. In the present work, a fractional evolutionary approach achieves the desired objectives of reactive power planning by incorporating FACTS devices. Two compensation arrangements are possible: the shunt type compensation, through Static Var compensator (SVC) and the series compensation through the Thyristor controlled series compensator (TCSC). The fractional order Darwinian Particle Swarm Optimization (FO-DPSO) is implemented on the standard IEEE 30, IEEE 57 and IEEE 118 bus test systems. The power flow analysis is used for determining the location of TCSC, while the voltage collapse proximity indication (VCPI) method identifies the location of the SVC. The superiority of the FO-DPSO is demonstrated by comparing the results with those obtained by other techniques in terms of measure of central tendency, variation indices and time complexity.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1038/s41598-020-79838-2pt_PT
dc.identifier.urihttp://hdl.handle.net/10400.22/18630
dc.language.isoengpt_PT
dc.publisherNaturept_PT
dc.relation.publisherversionhttps://www.nature.com/articles/s41598-020-79838-2pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt_PT
dc.subjectReactive power dispatchpt_PT
dc.subjectPower systempt_PT
dc.subjectFACTSpt_PT
dc.subjectStatic Var compensator (SVC)pt_PT
dc.subjectParticle Swarm Optimization (FO-DPSO)pt_PT
dc.titleDesign of fractional evolutionary processing for reactive power planning with FACTS devicespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.issue1pt_PT
oaire.citation.titleScientific Reportspt_PT
oaire.citation.volume11pt_PT
person.familyNameTenreiro Machado
person.givenNameJ. A.
person.identifier.ciencia-id7A18-4935-5B29
person.identifier.orcid0000-0003-4274-4879
person.identifier.ridM-2173-2013
person.identifier.scopus-author-id55989030100
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication82cd5c17-07b6-492b-b3e3-ecebdad1254f
relation.isAuthorOfPublication.latestForDiscovery82cd5c17-07b6-492b-b3e3-ecebdad1254f

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