Genetic Algorithm for Maximum Power Point Tracking in Photovoltaic Systems


Abstract in English

Photovoltaic systems (PVs)offer an environmentally friendlysource of electricity; however, up till now its price is still relatively high.Achieving the maximum power of these systemsand maintaining it with lowest price in real applications is highly associated with Maximum Power Point Tracking (MPPT) under different operation conditions. This paper proposes the use of Genetic Algorithm (GA) for tracking maximum power point depending on the solar cell model. GA gives, directly and precisely, the optimal operating voltage (VOP) of the cell where the DC/DC converter will be adjusted according to it based on the previous knowledge of the open circuit voltage (VOC) and short circuit current (ISC) of the cell. To validate the correctness and effectiveness of the proposed algorithm, MATLAB R2010a programs for GA and PV system are written and incorporated together where the series resistant of the cell is considered while the shunt resistant is neglected. Simulation results of applying GA on different types of solar panels showedthe possibilityof the accurateadjusting of the voltagetothe optimum valueand thusoperating the systemat maximum power point.

References used

HADJI, S.; KRIM, F.; GAUBERT, J. P. Development of an Algorithm of Maximum Power Point Tracking for Photovoltaic Systems Using Genetic Algorithms. IEEE USA, 2011, 43-46
LIU, C.; WU, B.; CHEUNG, R. Advanced Algorithm for MPPT Control of Photovoltaic System. Canadian Solar Buildings Conference, Canadian Solar Buildings ConferenceMontreal, August 20-24, 2004
MORALES, D. S. Maximum Power Point Tracking Algorithms for Photovoltaic ApplicationsEspoo 14.12.2010,73

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