Brammanayagam NAGARANI, Nesa Mony JOTHISWAROOPAN

Performance enhancement of photovoltaic system using genetic algorithm- based maximum power point tracking

In recent years, enormous progress has been made on power generation using photovoltaic (PV) system.Solar power is one of the most promising renewable energy sources that is providing its benefit specifically in rural areas.With the increasing need for solar energy, it becomes necessary to extract maximum power from the PV array. Theoutput power of the solar cells varies directly with the ambient temperature and Irradiation. Therefore, the challengeis to track maximum power from the PV array when environmental factors change. This paper focuses on increasingthe efficiency of a PV array by incorporating artificial intelligence techniques. The genetic algorithm-based optimizationtechnique is developed in order to track maximum power at given ambient conditions. The performance of the algorithmwas tested under various environmental conditions using MATLAB/Simulink. A comparative study is done on the PVsystem using the conventional perturb & observe algorithm and genetic algorithm. The results show that the proposedMPPT technique is capable of tracking maximum power from the PV array with reduced oscillation and fast trackingspeed.

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