Publication:
Parameter extraction of photovoltaic module using hybrid evolutionary algorithm

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dc.citedby8
dc.contributor.authorMuhsen D.H.en_US
dc.contributor.authorGhazali A.B.en_US
dc.contributor.authorKhatib T.en_US
dc.contributor.authorid56728928200en_US
dc.contributor.authorid56727852400en_US
dc.contributor.authorid31767521400en_US
dc.date.accessioned2023-05-29T06:01:01Z
dc.date.available2023-05-29T06:01:01Z
dc.date.issued2015
dc.descriptionAlgorithms; Diodes; Extraction; Iterative methods; Optimization; Parameter estimation; Parameter extraction; Photovoltaic cells; Different evolutions; Differential Evolution; Diode modeling; Electromagnetism-like algorithm; Extracting parameter; Hybrid evolutionary algorithm; Photovoltaic model; Photovoltaic modules; Evolutionary algorithmsen_US
dc.description.abstractThis paper proposes a new method for extracting parameters of double diode model of photovoltaic module, based on differential evolution with adaptive mutation per iteration (DEAM) algorithm. The proposed method combined the mutation mechanism of electromagnetism-like algorithm with conventional version of different evolution (DE) algorithm to enhance the performance of DE. Furthermore, a new formula to adjust the mutation scaling factor and crossover rate for each generation is proposed. The performance of DEAM has been evaluated using experimental data and other previous methods in literature. According to the results, the proposed method offers better performance than other methods in terms of accuracy and convergence. Furthermore, the feasibility of proposed methods is validated by comparing the obtained results with other previous methods using various statistical errors. � 2015 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo7449393
dc.identifier.doi10.1109/SCORED.2015.7449393
dc.identifier.epage538
dc.identifier.scopus2-s2.0-84966472213
dc.identifier.spage533
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84966472213&doi=10.1109%2fSCORED.2015.7449393&partnerID=40&md5=6ba3ae98cea24b6f55a66c42659749e8
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22445
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2015 IEEE Student Conference on Research and Development, SCOReD 2015
dc.titleParameter extraction of photovoltaic module using hybrid evolutionary algorithmen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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