Abstract
Clean energy resources have become a worldwide concern, especially photovoltaic (PV) energy. Solar cell modeling is considered one of the most important issues in this field. In this article, an improvement for the search steps of the bald eagle search algorithm is proposed. The improved bald eagle search (IBES) was applied to estimate more accurate PV model parameters. The IBES algorithm was applied for conventional single, double, and triple PV models, in addition to modified single, double, and triple PV models. The IBES was evaluated by comparing its results with the original BES through 15 benchmark functions. For a more comprehensive analysis, two evaluation tasks were performed. In the first task, the IBES results were compared with the original BES for parameter estimation of original and modified tribe diode models. In the second task, the IBES results were compared with different recent algorithms for parameter estimation of original and modified single and double diode models. All tasks were performed using the real data for a commercial silicon solar cell (R.T.C. France). From the results, it can be concluded that the results of the modified models were more accurate than the conventional PV models, and the IBES behavior was better than the original BES and other compared algorithms.
Highlights
The high demand for clean energy is increasing the development cycles of PV systems.The solar cell is considered the basic element in PV systems
Is provided; An improved algorithm (IBES) is proposed and detailed discussion about testing the behavior of the improved algorithm on 23 benchmark functions is provided; The improved algorithm and the original bald eagle search (BES) are compared through their application to the estimation of the parameters of the modified triple diode model (MTDM) and original triple diode model (TDM); For more comprehensive results, the performance of improved bald eagle search (IBES) and other recent algorithms is compared for the estimation of the parameters of the SDM, MSDM, DDM, and MDDM; In all the applications, the real data from an RTC furnace solar cell were used as a dataset for the objective function; The performance of the IBES and other compared algorithms is evaluated through statistical analysis
Voltage and power vs. voltage characteristics curves for real system MTDMs and TDMs estimated by the IBES and BES are presented in Figures 18 and 19, respectively
Summary
The high demand for clean energy is increasing the development cycles of PV systems. The solar cell is considered the basic element in PV systems. Is provided; An improved algorithm (IBES) is proposed and detailed discussion about testing the behavior of the improved algorithm on 23 benchmark functions is provided; The improved algorithm and the original BES are compared through their application to the estimation of the parameters of the modified triple diode model (MTDM) and original triple diode model (TDM); For more comprehensive results, the performance of IBES and other recent algorithms is compared for the estimation of the parameters of the SDM, MSDM, DDM, and MDDM; In all the applications, the real data from an RTC furnace solar cell were used as a dataset for the objective function; The performance of the IBES and other compared algorithms is evaluated through statistical analysis.
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
