dc.contributor.author | Ibrahim, IA | |
dc.contributor.author | Hossain, MJ | |
dc.contributor.author | Duck, BC | |
dc.contributor.author | Badar, AQH | |
dc.date.accessioned | 2021-01-15T00:08:22Z | |
dc.date.available | 2021-01-15T00:08:22Z | |
dc.date.issued | 2019 | |
dc.identifier.isbn | 9781728131924 | |
dc.identifier.doi | 10.1109/ISAP48318.2019.9065989 | |
dc.identifier.uri | http://hdl.handle.net/10072/401111 | |
dc.description.abstract | This 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.peerreviewed | Yes | |
dc.publisher | IEEE | |
dc.relation.ispartofconferencename | 20th International Conference on Intelligent System Application to Power Systems (ISAP 2019) | |
dc.relation.ispartofconferencetitle | 2019 20th International Conference on Intelligent System Application to Power Systems, ISAP 2019 | |
dc.relation.ispartofdatefrom | 2019-12-10 | |
dc.relation.ispartofdateto | 2019-12-14 | |
dc.relation.ispartoflocation | New Delhi, India | |
dc.subject.fieldofresearch | Artificial intelligence | |
dc.subject.fieldofresearchcode | 4602 | |
dc.title | Parameters Extraction of a Photovoltaic Cell Model Using a Co-evolutionary Heterogeneous Hybrid Algorithm | |
dc.type | Conference output | |
dc.type.description | E1 - Conferences | |
dcterms.bibliographicCitation | Ibrahim, 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.updated | 2021-01-15T00:07:33Z | |
gro.hasfulltext | No Full Text | |
gro.griffith.author | Hossain, Jahangir | |