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dc.contributor.authorIbrahim, IA
dc.contributor.authorHossain, MJ
dc.contributor.authorDuck, BC
dc.contributor.authorBadar, AQH
dc.date.accessioned2021-01-15T00:08:22Z
dc.date.available2021-01-15T00:08:22Z
dc.date.issued2019
dc.identifier.isbn9781728131924
dc.identifier.doi10.1109/ISAP48318.2019.9065989
dc.identifier.urihttp://hdl.handle.net/10072/401111
dc.description.abstractThis paper proposes a new hybrid algorithm with a combination between the wind driven optimization (WDO) algorithm and the differential evolution with integrated mutation per iteration (DEIM) algorithm. The proposed algorithm, a wind driven optimization based on differential evolution with integrated mutation per iteration (WDO-based on DEIM) algorithm, is utilized to extract the unknown parameters in both of a single-diode photovoltaic (PV) cell model and a double-diode PV cell model. To show the effectiveness of the proposed model, its performance is validated internally by comparing the generated current-voltage (I-V) characteristic curves by the proposed algorithm with the actual I-V characteristic curves, and externally with those obtained by the WDO and DEIM algorithms. The results show the superiority of the proposed model. According to the normalized-root-mean-square error (nRMSE), the mean absolute percentage error (MAPE) and the coefficient of determination (R^{2}) of the achieved results, the proposed WDO-based on DEIM algorithm outperforms the aforementioned algorithms. Finally, the average efficiency of the WDO-based on DEIM algorithm is 95.31%, while it is 81.08% for the WDO algorithm and 88.37% for DEIM algorithm in the single-diode PV cell model. While, it is 96.78% based on WDO-based on DEIM algorithm and it is 92.30% for the WDO algorithm and 91.42% for DEIM algorithm in the double-diode PV cell model.
dc.description.peerreviewedYes
dc.publisherIEEE
dc.relation.ispartofconferencename20th International Conference on Intelligent System Application to Power Systems (ISAP 2019)
dc.relation.ispartofconferencetitle2019 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019
dc.relation.ispartofdatefrom2019-12-10
dc.relation.ispartofdateto2019-12-14
dc.relation.ispartoflocationNew Delhi, India
dc.subject.fieldofresearchArtificial intelligence
dc.subject.fieldofresearchcode4602
dc.titleParameters Extraction of a Photovoltaic Cell Model Using a Co-evolutionary Heterogeneous Hybrid Algorithm
dc.typeConference output
dc.type.descriptionE1 - Conferences
dcterms.bibliographicCitationIbrahim, IA; Hossain, MJ; Duck, BC; Badar, AQH, Parameters Extraction of a Photovoltaic Cell Model Using a Co-evolutionary Heterogeneous Hybrid Algorithm, 2019 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019, 2019
dc.date.updated2021-01-15T00:07:33Z
gro.hasfulltextNo Full Text
gro.griffith.authorHossain, Jahangir


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