Enhanced Performance of Solar Concentrators Using Soft Computing Techniques
Australian Journal of Basic and Applied Sciences, Vol. 10(1), Pages: 648-653, January 2016
6 Pages Posted: 8 Jun 2016
Date Written: January 7, 2016
The objective of this paper is to increase the efficiency of photovoltaic cell and to reduce the cost of the photovoltaic module. The efficiency of photovoltic module is increased by covering an angle of nearing 180 degree and the cost is reduced by use of cheaper glass materials. The amount of current produced by a solar cell/panel depends on various factors due to which the state variables of a cell keep changing. The various state variables in question manifest different behaviours as time and place changes and empirical formula of a solar cell does not suffice. In absence of such empirical formula, one has to relay on estimation in order to predict the behaviour of a solar cell. In this paper behaviour of state of solar cell has been done by kalman filter. Dynamic rapid method for tracking the maximum power angle of solar cell arrays known as Bacteria Foraging Optimisation (BFO) algorithm has been used. Experimental analysis is presented for the comparison of different positions of the sun for maximum power alignment.
Keywords: BFO, Concentrators, Kalmanfilter, Photo Voltaic Cell, Solar Panel
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