Call For Paper Volume:7 Issue:8 Aug'2020 |

RADIAL BASIS FUNCTION NETWORK BASED HYBRID SOLAR AND BATTERY OPERATED DC-DC CONVERTER SYSTEM

Publication Date : 26/07/2020


DOI : 10.21884/IJMTER.2020.7043.TMO8O

Author(s) :

Vinothini S , G.Dinesh , Anandhakumar.


Volume/Issue :
Volume 7
,
Issue 7
(07 - 2020)



Abstract :

In this paper, a radial basis function network (RBFN) controller based three-level boost converter is presented for DC/DC conversion in the solar PV (Photovoltaic) –Battery hybrid system. A neural network based RBFN controller is involved in converter control and maximum power point tracking (MPPT) to trace the maximum power point. The three-level boost converters have a wide range of application in power conversion systems with continuous supply current and high voltage gain. Three-level converter configuration can minimize the voltage stress across the switches and also have a capability of maximum energy transfer from input to output through the series connected boost inductors. The maximum efficiency of 91.9% is achieved for the proposed system configuration at 1000W/m2 irradiation and full load. This kind of converter topology is widely used in DC/DC conversion to step up the voltage to the required level based on the application. The boost type converter is essential in low power generating systems such as solar PV systems, fuel cells, switched mode power supply and other DC supplied systems. The suggested three-level converter configuration is an adequate system for solar PV systems


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RADIAL BASIS FUNCTION NETWORK BASED HYBRID SOLAR AND BATTERY OPERATED DC-DC CONVERTER SYSTEM

July 1, 2020