Maximum power point tracking (MPPT) algorithm for photovoltaic (PV) system based on parabolic prediction method
The increased consumption of electric energy during the recent decades has prompted a search for other sources of energy. One of these sources is solar energy. Photovoltaic (PV) systems are a strategic approach to exploiting the solar energy. However, the harvesting energy of the PV module is low...
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| Format: | Thesis |
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| Language: | English |
| Subjects: | |
| Online Access: | http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77414/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77414/2/Full%20text.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/77414/3/Declaration%20Form.pdf |
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| Summary: | The increased consumption of electric energy during the recent decades has
prompted a search for other sources of energy. One of these sources is solar energy.
Photovoltaic (PV) systems are a strategic approach to exploiting the solar energy.
However, the harvesting energy of the PV module is low conversion efficiency, nonlinear
characteristics and dependent on the temperature and the amount of irradiance. Maximum
power point tracking (MPPT) techniques are a practical solution to maximise the output
of the PV system and overcome nonlinear characteristics under all circumstances. Many
MPPT algorithms have been proposed. Most MPPT algorithms suffer from oscillation
where the operation points oscillate around the maximum power point. As a result, the
loss of power is increased. The loss of tracking under a dynamic change in irradiance is
another challenge in MPPT. In this work, a new MPPT algorithm based on the Parabolic
Prediction Method is proposed to track the maximum power point. The proposed method
can overcome the limitation of conventional MPPT algorithms such as steady state
oscillation and loss of tracking during a dynamic change in irradiance. The working
principle of this method is the calculation of the maximum power from a parabolic convex
function. Subsequently, a methodical scheme is sophisticated to regulate the concavity
and optimum region of the approximate parabola for guaranteeing the repetitive
convergence of the proposed algorithm. To validate its superiority, the proposed method
is compared with the conventional P&O method in terms of steady state and dynamic
change in irradiance conditions. The algorithm is carried out on a DC-DC buck converter.
The verification of the proposed method has been done using MATLAB/Simulink®. The
results prove that the proposed MPPT algorithm tracks the maximum power successfully
within a short time of 100 ms that is less than the conventional P&O method. Besides
that, the proposed method has a faster dynamic response and removes oscillations of the
operating point around the maximum power point (MPP) under steady state conditions.
In a dynamic change in irradiance, the MPPT algorithm needs less than 100msec to reach
the new maximum power compared to the conventional P&O algorithm that needs more
than 100msec. For all case tests, the proposed algorithm has zero oscillation after
reaching the maximum compared to the conventional P&O algorithm that continues in
oscillation even after reaching maximum power |
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