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High Efficient Solar Power System Using MPPT for Industrial Applications


Jovis George , CSI COLLEGE OF ENGINEERING; S.Monica, CSI College of Engineering


MATLAB, Conversion of Solar Energy, Maximum Power Point Tracking (MPPT)


There has been a rapid increase in the usage of renewable energy resources due to disappearance of coal and oil. Thus solar power is one among these resources. This project focuses on designing of Photovoltaic (PV) cell and its parameters. From the literature survey it was clear that incremental conductance algorithm is easy method and works better than other maximum power point tracking algorithm. Hence incremental conductance technique is used to track maximum power from PV cell. The boost converter gives good performance among various types of DC to DC converters for a PV system. It can also provide a better output current characteristic due to the inductor on the output stage. Thus DC-DC with voltage multiplier module is chosen for DC to DC conversion. A fixed-step-size incremental conductance MPPT with direct control method is employed and necessity of another control loop is eliminated. MATLAB and Simulink will be employed for simulation and analysis of the DC-DC converter for PV power system using incremental conductance technique novel high intensify converter, which is suitable for renewable energy system, is proposed in this project. Through a voltage multiplier module composed of switched capacitors and coupled inductors. The configuration of the proposed converter not only reduces the current stress but also constrains the input current ripple, which decreases the conduction losses and lengthens the lifetime of the input source. In addition, due to the lossless passive clamp performance, leakage energy is recycled to the output terminal. Hence, large voltage spikes across the main switches are alleviated, and the efficiency is improved. For the grid connected application dc output is connected to the efficient inverter.

Other Details

Paper ID: IJSRDV3I21182
Published in: Volume : 3, Issue : 2
Publication Date: 01/05/2015
Page(s): 1692-1697

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