Estimation of Solar Cell Model Parameter by Hybrid Genetic Algorithm Using MATLAB
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2012, Vol 1, Issue 6
Abstract
In the present work, an efficient and accurate approach for the estimation of the solar cell parameters using hybrid genetic algorithm from the given voltage-Current data is proposed. Exact estimation of solar cell data is necessary for getting desired accuracy in PV based simulation studies. This paper proposes the hybrid Genetic algorithm, which is based on Genetic Algorithm (GA) and Nelder-Mead (NM) simplex search method. GA-NM is easy to implement in practice as it does not require any initial guess about the parameter values. Proposed approach has the benefits of both Genetic Algorithm and Nelder-Mead simplex method. The simulation results prove the suggested algorithm to be extremely effective and efficient at locating optimal values of the solar cell parameter. MATLAB OPTIMTOOL is used to implement the proposed approach.
Authors and Affiliations
J K Maherchandani, , Chitranjan Agarwal, , Mukesh Sahi,
Keywords
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