Parameters extraction of a photovoltaic cell model using a co-evolutionary heterogeneous hybrid algorithm

Ibrahim Anwar Ibrahim, M. J. Hossain, Benjamin C. Duck, Altaf Q. H. Badar

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

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 (R2) 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.
Original languageEnglish
Title of host publication2019 20th International Conference on Intelligent System Application to Power Systems (ISAP)
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1-6
Number of pages6
ISBN (Electronic)9781728131924
ISBN (Print)9781728131931
DOIs
Publication statusPublished - 2019
Event2019 20th International Conference on Intelligent System Application to Power Systems - New Delhi, India
Duration: 10 Dec 201914 Dec 2019
Conference number: 20th
https://ieeexplore.ieee.org/xpl/conhome/9048608/proceeding

Conference

Conference2019 20th International Conference on Intelligent System Application to Power Systems
Abbreviated titleISAP
CountryIndia
CityNew Delhi
Period10/12/1914/12/19
Internet address

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  • Cite this

    Ibrahim, I. A., Hossain, M. J., Duck, B. C., & Badar, A. Q. H. (2019). Parameters extraction of a photovoltaic cell model using a co-evolutionary heterogeneous hybrid algorithm. In 2019 20th International Conference on Intelligent System Application to Power Systems (ISAP) (pp. 1-6). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ISAP48318.2019.9065989