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dc.contributor.authorAhmed, Walaa
dc.contributor.authorSelim, Ali
dc.contributor.authorKamel, Salah
dc.contributor.authorYu, Juan
dc.contributor.authorJurado, Francisco
dc.date2018-12
dc.date.accessioned2022-02-08T12:40:16Z
dc.date.available2022-02-08T12:40:16Z
dc.identifier.issn1989-1660
dc.identifier.urihttps://reunir.unir.net/handle/123456789/12412
dc.description.abstractThis paper proposes a solution procedure for probabilistic load flow problem considering the optimal allocation of Static Var Compensator (SVC) in radial distribution systems. Pareto Envelope-based Selection Algorithm II (PESA-II) with fuzzy logic decision maker is developed to determine the optimal location and size of SVC based on the minimum total power losses and Voltage Deviation (VD). Combined cumulants and gram-chalier expansion are used for solving the probabilistic load flow problem. The proposed algorithm is tested on 33-bus and 69-bus distribution systems. The developed algorithm gives an acceptable solution with low number of iterations and less computation cost compared with the Monte Carlo method.es_ES
dc.language.isoenges_ES
dc.publisherInternational Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI)es_ES
dc.relation.ispartofseries;vol. 5, nº 3
dc.relation.urihttps://www.ijimai.org/journal/bibcite/reference/2696es_ES
dc.rightsopenAccesses_ES
dc.subjectparticle swarm optimizationes_ES
dc.subjectradial distribution systemes_ES
dc.subjectprobabilistic load flowes_ES
dc.subjectSVCes_ES
dc.subjectIJIMAIes_ES
dc.titleProbabilistic Load Flow Solution Considering Optimal Allocation of SVC in Radial Distribution Systemes_ES
dc.typearticlees_ES
reunir.tag~IJIMAIes_ES
dc.identifier.doihttp://doi.org/10.9781/ijimai.2018.11.001


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