<link rel="stylesheet" href="styles.cf390c6bfbe7555f.css">

Solution of optimal reactive power dispatch by Levy-flight phasor particle swarm optimization

dc.contributor.authorGil, Milad
dc.contributor.authorAkbari, Ebrahim
dc.contributor.authorRahimnejad, Abolfazl
dc.contributor.authorGhasemi, Mojtaba
dc.contributor.authorGadsden, S. Andrew
dc.date.accessioned2025-12-05T15:33:23Z
dc.date.available2025-12-05T15:33:23Z
dc.date.issued2024
dc.description.abstractOptimal reactive power dispatch (ORPD) problems are important tools for the sake of security and economics of power systems. The ORPD problems are nonlinear optimization problems to minimize the real power losses and voltage profile enhancement by optimizing several discrete and continuous control variables. This paper proposes a Le<acute accent>vy-flight phasor particle swarm optimization (LPPSO) for solving ORPD problems while considering real power losses and voltage profile in two standard power systems. The simulation results demonstrate that the LPPSO algorithm proves itself as an acceptable method for reaching a more optimal solution for the ORPD problems.eng
dc.formatp. &quot;Article Number: 200398&quot;
dc.identifier.doi10.1016/j.iswa.2024.200398
dc.identifier.issn2667-3053
dc.identifier.obd43881805
dc.identifier.urihttp://hdl.handle.net/20.500.12603/2330
dc.identifier.wos001306808900001
dc.language.isoeng
dc.peerreviewedyes
dc.publicationstatuspostprint
dc.publisherElsevier
dc.relation.ispartofIntelligent Systems with Applications, volume 23, issue: Septembereng
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S2667305324000735?via%3Dihub
dc.rights.accessOpen Access
dc.rights.licenseCC BY
dc.source.urlhttps://www.sciencedirect.com/science/article/pii/S2667305324000735?via%3Dihub
dc.subjectActive power losseseng
dc.subjectLevy-flight phasor particle swarm optimization (LPPSO)eng
dc.subjectORPD problemseng
dc.subjectVoltage deviationeng
dc.titleSolution of optimal reactive power dispatch by Levy-flight phasor particle swarm optimizationeng
dc.typearticle

Soubory

Původní svazek

Nyní se zobrazuje 1 - 1 z 1
Načítá se...
Náhled
Název:
sken.pdf
Velikost:
8,68 MB
Formát:
Adobe Portable Document Format