Trajectories of the sun tracking for a photovoltaic system by Genetic algorithm

Trajectories of the sun tracking for a photovoltaic system by Genetic algorithm

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This work deals with the two-axis sun tracking system
for a photovoltaic system. The trajectories of the sun tracking
system are determined in an optimization procedure. The optimization
goal is the maximization of electric energy production in
the photovoltaic system considering the tracking system consumption.
Determination of the tilt angle and azimuth angle trajectories
is described as a nonlinear and bounded optimization problem,
where the objective function is not available in the explicit form.
A stochastic search algorithm called Genetic algorithm Evolution is used
as an optimization tool. In the optimization procedure, the objective
function is evaluated by using the models of available solar
radiation, tracking system consumption, and the efficiency of solar
cells with the appropriate dc/dc converters. The problem bounds
are given in the form of lower and upper bounds for both angles
and time and angle quantization. The results presented in the work
show, that the optimal trajectories for the tilt and azimuth
angle depend on the available solar radiation, solar cell efficiency,
tracking system consumption and the optimization bounds.

  • Please refer Following Paper for more information

    S. Seme, G. Štumberger and J. Voršič, "Maximum Efficiency Trajectories of a Two-Axis Sun Tracking System Determined Considering Tracking System Consumption," in IEEE Transactions on Power Electronics, vol. 26, no. 4, pp. 1280-1290, April 2011, doi: 10.1109/TPEL.2011.2105506.

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