Parameters Estimation of Photovoltaic Cells Using Self-adaptive Multi-population Rao Optimization Algorithm

Document Type : Original papers

Authors

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

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