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Solar PV Modelling and Parameter Extraction Using Artificial Immune System
Jacob B, , , Azharuddin S.M,
Published in Elsevier BV
Volume: 75
Pages: 331 - 336
In this paper, a meta-heuristics algorithm Artificial Immune System (AIS) is used for solar PV parameter estimation. Solar PV Double diode model parameter estimation is carried out by applying the new method. Estimated parameter values are substituted in developed MATLAB model and characteristics are obtained. For performance analysis, the results obtained using AIS are compared with Genetic algorithm (GA) and Particle Swarm Optimization (PSO). For further validation of the proposed method, error graphs are plotted for two panels using AIS, GA and PSO. The results confirm that the proposed method employing AIS outperforms GA and PSO in terms of convergence characteristics and absolute error. © 2015 The Authors. Published by Elsevier Ltd.
About the journal
JournalData powered by TypesetEnergy Procedia
PublisherData powered by TypesetElsevier BV
Open AccessYes