Boost Half Bridge Converter with ANN Based MPPT
Author(s):
Deepthy Thomas, Aparna Thampi
Keywords:
Artificial neural network (ANN) Boost half bridge converter (BHB), Maximum power point tracking (MPPT), Photovoltaic (PV),
Abstract
This paper deals with the design and implementation of the boost half-bridge photovoltaic (PV) system with ANN based MPPT. In order to achieve low cost, easy control and high efficiency, a boost-half-bridge dc-dc converter is introduced to interface the low-voltage PV module. An ANN based maximum power point tracking (MPPT) generates the PV voltage reference. ANN is adopted such that fast tracking speed and high MPPT efficiency are obtained. It also improves the robustness of the MPPT system against temperature and irradiance. The performance of the system will be investigated with MATLAB/Simulink .
Article Details
Unique Paper ID: 143235

Publication Volume & Issue: Volume 2, Issue 8

Page(s): 15 - 19
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Last Date 25 February 2020

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