Maximum Power Point Tracking for stand-alone Photovoltaic system using Evolutionary Programming

This paper presents Maximum Power Point Tracking (MPPT) algorithm for stand-alone Photovoltaic (PV) system using Evolutionary Programming (EP) method. The EP has not been used for this system before, thus this work can be considered as new. The basic idea of applying EP for stand-alone PV System bas...

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Bibliographic Details
Main Authors: Hashim, N., Salam, Z., Ayob, S. M.
Format: Conference Proceeding
Language:English
Subjects:
Arrays
Convergence
Genetic algorithms
Maximum power point trackers
maximum power point tracking
partial shading condition
Photovoltaic system
Sociology
soft computing
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Summary:This paper presents Maximum Power Point Tracking (MPPT) algorithm for stand-alone Photovoltaic (PV) system using Evolutionary Programming (EP) method. The EP has not been used for this system before, thus this work can be considered as new. The basic idea of applying EP for stand-alone PV System based MPPT is given. Simulation of PV system is carried out using Matlab/Simulink environment. In particular, the partial shading condition is addressed. To evaluate the accuracy of the algorithm, two statistical analysis namely; mean absolute error (MAE) and standard deviation (STD) have been carried out. The results are compared with MPPT using the Genetic Algorithm (GA). It was found that EP has a much better convergence speed, tracking accuracy and higher robustness compared to GA.
DOI:10.1109/PEOCO.2014.6814390