Abstract
Application of swarm based optimization algorithms to maximize output energy of photovoltaic panels
Highlights
Since Proizvedena energija solarnih ćelija (PV) systems convert the sunlight into the electricity, so produced power, directly dependent on the sunlight, reaches the surface of the PV
This paper presented a new method for determining the tilt and azimuth angle trajectories, which assures the maximum energy production in the PV system
The Bee Algorithm (BA) method gives the optimal results for the applied solar radiation prediction and the tracking system model
Summary
Since PV systems convert the sunlight into the electricity, so produced power, directly dependent on the sunlight, reaches the surface of the PV. A methodology for evaluating the output energy with a dual-axis sun tracking system for a photovoltaic system is presented in [6] that used adaptive digital signal processing and control algorithm This method uses gradient ascent method to compute the optimal position angles iteratively and the Taylor’s series approximation. In [8] the authors presented a new algorithm for the time dependent prediction of available solar radiation in clear sky based on the length of a sunbeam’s path through the atmosphere and the statistical data of a Pyranometer measured total and diffuse solar radiation at a given location on the Earth They applied DE algorithm to solve an optimization problem with goal of the maximization of the electrical energy production, by considering the tracking system consumption. The length of the sun radiation's path inside the atmosphere (l) is shown in Fig. 2 and can be defined by Eq (4)
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