Authors:
A. Sriharibabu,A. Naveen Reddy,P.V.S. Sobhan,M. Subba Rao,DOI NO:
https://doi.org/10.26782/jmcms.2019.12.00050Keywords:
Photovoltaic array modelling,Maximum power point tracker,Neural network,MPPT,Inter leaved connection,Abstract
In the present scenario the utilization of renewable energy sources arehappening to be more popular due to more vigorous regulations in fuel economy and carbon. This paper deals with the high voltage gain interleaved boost converter for a Photo Voltaic (PV) system with a neural network based Maximum Power Point Tracking (MPPT) controller. So as to nourish the high power electrical appliances it is necessary to design high voltage gain converters. In order to meet this requirement, a three phase interleaved boost converter (IBC) which can provide high voltage gain is proposed and designed for a PV system is proposed in this paper. The interleaving technique is adapted for the proposed converter as it is able to maintain less ripple content at the converter input current there by improves the life time of PV array. It also results less voltage stresses on the power semiconductor devices which are employed for high rated PV system. Unlike conventional modelling of PV array procedure, modelling of PV array using neural network does not require involvement of any scientific definitions. Consequently they can possibly give an unrivalled strategy for inferring non-linear models than the officially settled regular procedures. In this paper a radial basis neural network trained model is employed to simulate and anticipate the MPP of a Photo Voltaic arrayutilizing an arbitrary arrangement of information gathered from a genuine photovoltaic array. In this paper Simulinkplat form of MATLAB software is employed to break down the performance of the prosed system by carrying simulation. Furthermore, it is additionally demonstrated that the MPPT from the solar PV array with the reduced harmonics is achieved through the proposed model.Refference:
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