Design and Development of Intelligent MPPT Controller for Optimal Tracking Photovoltaic System
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Date
2014
Authors
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Journal ISSN
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Publisher
MPUAT, Udaipur
Abstract
Solar energy is viewed as clean and renewable source of energy for the future. So the
use of Photovoltaic systems has increased in many applications. That need to improve
the materials and methods used to harness this power source. So Maximum power
point tracking system is designed and implemented. The system composed of
photovoltaic module and adaptive Perturb and observe controller implemented on
MCU for controlling on/off time of MOSFET switch of a Buck-boost converter. The
proposed maximum power point tracking controller for standalone photovoltaic
system is tested FLCs based model designed by Matlab/Simulink program with
graphical user interface (GUI) for entering the parameters of any array model using
information from its datasheet, the results show that the controller have a response
better than conventional controller applied on the same system.
This thesis focuses on the laboratory development of 200W Buck-Boost converter
based solar energy conversion system. It drives the converter interfaced and
perturbation and observation (P&O) type maximum power point tracking (MPPT)
algorithm for achieving the maximum energy yield.
The work also presents the simulation and experimental evaluation of proposed
system, under various abnormal conditions like abrupt change in solar radiation,
temperature, misfire in the converter, change in load etc. The control system is
implemented on a MCU board. Simulation and experimental results are presented
using a laboratory 200W prototype of SECS to demonstrate the resulting
improvements of the developed system and its control under steady-state and dynamic
balanced/unbalanced conditions.
Description
Design and Development of Intelligent MPPT Controller for Optimal Tracking Photovoltaic System
Keywords
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Citation
Upadhyay and Joshi, 2014