Maximizing Solar Cell Power Output using in Solar Powered Water Treatment System by Particle Swarm Optimization Algorithm

Kaweepot Woranetsuttikul, Isaree Srikun, Saksai Kaensom, Promphak Dawan

Abstract


This research presents the optimization of solar powered water treatment system by Particle Swarm Optimization algorithm. This algorithm is used to find the maximum power point tracking (MPPT) of the solar cell to send the maximum power output to the of solar powered water treatment system. Even in the case of shadows obscure portions or in the case of low light intensity. Therefore, the efficiency of the solar powered water treatment system is more efficient. This research has applied the average particle swam optimization algorithm. This algorithm has a structure that is easy to use, uncomplicated and accuracy in calculations. The system consists of solar cells connected in an array which power supply through the inverter circuit. To find the peak of power output. The System simulation is performed using MATLAB and POWERSIM in the simulation of average Particle Swarm Optimization algorithm and Setting to cover some shadows. Conducted a real experiment, which the results of the experiment found to be consistent with the simulation results.


Keywords


Solar cell, Maximum Power Point Tracking, Efficiency, Particle Swarm Optimization

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