Parameters Estimation of Photovoltaic Cells Using Self-adaptive Multi-population Rao Optimization Algorithm | ||||
| Aswan University Journal of Sciences and Technology | ||||
| Volume 1, Issue 1, June 2021, Page 26-40 PDF (1.38 MB) | ||||
| Document Type: Original papers | ||||
| DOI: 10.21608/aujst.2021.226476 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
Abdelhady Ramadan; Salah Kamel  ; Abdalla Ibrahim
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| Electrical Engineering Department, Faculty of Engineering, Aswan University, Aswan, Egypt | ||||
| Abstract | ||||
| The design of PV system is considered one of trendy industries in nowadays. Usually, the designers required a simulation models for testing the new designed PV systems. The parameters estimation for this model is one of big challenges. This paper proposes an application of adaptive Rao algorithm (SAMP-Rao) for solar cell parameters estimation more over PV panels. The advantages of SAMP-Rao are adaptation of the population size based on the improvement in the fitness value during the search process .SD and DD models is used as a simulation model. The SAMP-Rao is applied to estimate the parameters of SD and DD models for different types of solar cells and PV panels. The results are evaluated and compared with others recent optimization algorithms using different evaluation methods like comparing root mean square values, absolute error also the statistical analysis of the obtained results | ||||
| Keywords | ||||
| PV system; Rao algorithm; Optimization; SAMP-Rao; SD; DD | ||||
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