Publication: Analysis of high voltage-gain hybrid DC-DC power converter with RBFN based MPPT for renewable photovoltaic applications
Date
2017
Authors
Kumar K.
Tiwari R.
Babu N.R.
Padmanaban S.
Bhaskar M.S.
Ramachandaramurthy V.K.
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers Inc.
Abstract
A hybrid high voltage-gain DC-DC power converter is presented to the renewable photovoltaic (PV) application. The extraction of maximum power and power electronics conversion from small voltage Renewable Energy Sources (RES) to a required voltage level is the main function of DC-DC converters. The traditional Boost and self lift Cuk converters are hybridized by sharing single switch, for obtaining the high voltage gain. The artificial neural network based MPPT is considered to take out extreme power from the Renewable Energy Sources (RES). The proposed hybrid DC-DC converter is compared to the hybrid Boost and Cuk converter along with the MPPT technique. Simulation outcome is presented to verify the concept of the proposed converter. � 2017 IEEE.
Description
Electric inverters; Energy conversion; Gain measurement; HVDC power transmission; Maximum power point trackers; Natural resources; Neural networks; Renewable energy resources; DC-DC Boost Converterr; High voltage gain; Maximum power; Photovoltaic; Photovoltaic applications; Renewable energy source; Voltage gain; Voltage levels; DC-DC converters