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dc.contributor.authorRidha, Hussein Mohammed
dc.contributor.authorGomes, Chandima
dc.contributor.authorHizam, Hashim
dc.contributor.authorMirjalili, Seyedali
dc.date.accessioned2020-10-14T01:43:32Z
dc.date.available2020-10-14T01:43:32Z
dc.date.issued2020
dc.identifier.issn0960-1481
dc.identifier.doi10.1016/j.renene.2020.02.016
dc.identifier.urihttp://hdl.handle.net/10072/398357
dc.description.abstractThe paper presents a new multiple scenario multi-objective salp swarm optimization (MS-MOSS) algorithm to optimally size a standalone PV system. An accurate estimation of the number of PV modules and storage battery is crucial as it affects the system reliability and cost. Three scenarios have been presented focusing on Pareto optimal solutions by minimizing two conflicting objectives. Loss of load probability (LLP) and life-cycle cost (LLC) are considered to obtain the Pareto front. The iterative method is employed for validation of the superiority results of the proposed MS-MOSS algorithm. The results show that the scenarios are able to find Pareto optimal configuration at a high level of accuracy and at a very low cost. The proposed three scenarios are faster than iterative approach approximately by 158, 194.2, and 141.6 times, respectively. The third scenario outperforms other scenarios in terms of coverage and convergence of the distribution of solution to the Pareto front. As a conclusion, The MS-MOSS algorithm is found to be very effective in sizing of SAPV system.
dc.description.peerreviewedYesen_US
dc.languageEnglishen_US
dc.language.isoeng
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD
dc.relation.ispartofpagefrom1330
dc.relation.ispartofpageto1345
dc.relation.ispartofjournalRenewable Energy
dc.relation.ispartofvolume153
dc.subject.fieldofresearchElectrical and Electronic Engineeringen_US
dc.subject.fieldofresearchMechanical Engineeringen_US
dc.subject.fieldofresearchInterdisciplinary Engineeringen_US
dc.subject.fieldofresearchcode0906en_US
dc.subject.fieldofresearchcode0913en_US
dc.subject.fieldofresearchcode0915en_US
dc.subject.keywordsScience & Technologyen_US
dc.subject.keywordsGreen & Sustainable Science & Technologyen_US
dc.subject.keywordsEnergy & Fuelsen_US
dc.subject.keywordsScience & Technology - Other Topicsen_US
dc.titleMultiple scenarios multi-objective salp swarm optimization for sizing of standalone photovoltaic system
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationRidha, HM; Gomes, C; Hizam, H; Mirjalili, S, Multiple scenarios multi-objective salp swarm optimization for sizing of standalone photovoltaic system, Renewable Energy, 2020, 153, pp. 1330-1345
dc.date.updated2020-10-14T01:42:15Z
gro.hasfulltextNo Full Text
gro.griffith.authorMirjalili, Seyedali


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