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Mamta Thakur Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 5, Issue 9, (Part - 1) September 2015, pp.92-95
www.ijera.com 92 | P a g e
A MATLAB /Simulink Modal of Triple-Junction Solar Cell and
MPPT Based on Incremental Conductance Algorithm for PV
System
Mamta Thakur1
, Baljit Singh2
M tech Student1
, DAV Institute of engineering and technology, Jalandhar
Assistant professor2
, DAV Institute of engineering and technology, Jalandhar
Abstract
Photovoltaic energy is the most important energy resource since it is clean, pollution free, and unlimited. In
current years, a large number of techniques have been projected for tracking the maximum power point.
Maximum power point tracking is used in photovoltaic systems to maximize the photovoltaic array output
power, irrespective of the temperature and radiation conditions and of the load electrical characteristics the PV
array output power is used to directly control the boost converter, thus reducing the complexity of the system.
The method is based on use of a Incremental conductance of the PV to determine an optimum operating current
for the maximum output power. The implementation of a PV model is based on the triple-junction solar cell in
the form of masked block in Matlab/Simulink software package that has a user-friendly icon. It is fast and
accurate technique to follow the maximum power point. This paper presents a new Matlab/Simulink model of a
PV module and a maximum power point tracking (MPPT) system for high efficiency InGaP/InGaAs/Ge triple-
junction solar cell.
Keywords: Photovoltaic System (PV), Maximum power point tracking (MPPT), Modeling of Multijunction
solar cell, Incremental conductance Algorithm (ICA), Boost Converter and Simulation Results.
I. INTRODUCTION
As the consumption of the energy is increasing
day by day, idea of exploring renewable energy
sources are also growing. Due to our limited energy
sources, renewable energy sources are the future.
However, solar energy systems generally suffer
from their low efficiencies and high costs. In order
to overcome these drawbacks, maximum power
should be extracted from the PV panel using MPPT
techniques to optimize the efficiency of overall PV
system [1]. The photovoltaic technology is an
attractive option because it features several
advantages such as absence of fuel cost, low
maintenance requirement and environmental
friendliness. The energy conversion efficiency of a
PV generation system is low because the solar cell
exhibits nonlinear current versus voltage and power
versus voltage characteristics. These nonlinear
characteristics are functions of weather conditions
such as solar insulation and panel temperature [2].
In order to maintain efficient operation, maximum
power point tracking algorithm which has quick
response and can extract maximum power from the
PV arrays in real time becomes essential in PGSs.
Fueled by the advance in semiconductor
technology, solar cells are one of the most
promising candidates for alternate energy sources.
Photovoltaic (PV) system is a green power source
that converts sunlight to electricity. It has many
applications as in space satellites and orbital
stations, solar vehicles, power supply for loads in
remote areas, and street lighting systems.
Motivated by superior performance and high
efficiency, multi-junction solar cells have received
much attention in the concentrated solar cell
systems due to their ultimate feathers. A multi-
junction solar cells used in concentrated PV
systems are different from silicon PV cells as they
are capable of converting very large amounts of
sunlight into energy at high efficiency. Multi-
junction solar cells have high conversion efficiency
with a record value of more than 40% [3].
1.1 Photovoltaic cell: Photovoltaic cell
generates electricity from the sun. PV panel works
under the phenomenon of photoelectric effect. It
directly converts sunlight into electricity. PV
module represents the fundamental power
conversion unit of a photovoltaic system. The
output characteristics of PV module depend on the
solar radiation, cell temperature and output voltage
of PV module. Since a PV module has nonlinear
characteristics, it is necessary to model it for the
design and simulation of a maximum power point
tracking for PV system applications. In order to get
a maximum output power form the solar cells, a
maximum power point tracker system is highly
recommended. The output power delivered by a PV
RESEARCH ARTICLE OPEN ACCESS
Mamta Thakur Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 5, Issue 9, (Part - 1) September 2015, pp.92-95
www.ijera.com 93 | P a g e
module can be maximized using MPPT control
system. It consists of a power conditioner to
interface the PV output to the load, and a control
unit, which drives the power conditioner for
extracting the maximum power from a PV array
.The PV model based on a multi-junction solar cell
is implement in the Matlab/ Simulink software
package in the same way of Matlab block libraries
or other component-based electronics simulation
software packages [4][5].
Fig 1. Equivalent circuit modal of triple junction
solar cell modal
1.2 Triple junction solar cell: Investigational
procedures face greater challenges when more
materials to be added on the sandwich stack. Based
on data of lattice constant for IIIeV semiconductor
material, it has seen that AlAs, GaAs, and Ge are
matched on its lattice constant. Because of that
these materials are able to be grown with less
strain. Their band gap variation is also quite wide
to perform a great absorption. Therefore, they can
be used on the process of making the MJSC.
However, the researchers stated that the band gap
variation is not showing the satisfactory choice.
Therefore, AlAs is considered having too high
bandgap energy and can be substituted by InGaP.
Because of that a 3 junctions solar cell designed by
stacking InGaP, GaAs, and Ge all together with
statistic as shown in . This is simply similar with
the first double cell experiment but with addition of
germanium. Option on choosing the Ge as third
layer is not just by it is lattice and band gap
matched with the other two, but its characteristic is
similar with the silicon. Purified germanium can
appear close to elemental silicon [6][7].
1.3 Modeling in Matlab Simulink: Based on
those theory and equations, the model of a MJSC is
created by MATLAB/Simulink. Extraction result
from MATLAB/Simulink Based on the Simulink
models, tandem cell performance can be plotted in
terms of generated power and voltage. In order to
create a better comparison method, several
results/plotted graphs are compared. As result, the
MJSC is able to generate more energy than the
conventional single cell.
Fig. 2 Basic modal of triple junction solar cell
Fig 3. Subsystem of triple junction solar cell
simulink modal for photovoltaic system
1.4 Incremental conductance method:
In incremental conductance method the array
terminal voltage is always adjusted according to the
MPP voltage it is based on the incremental and
instantaneous conductance of the PV module.
Mamta Thakur Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 5, Issue 9, (Part - 1) September 2015, pp.92-95
www.ijera.com 94 | P a g e
Fig 4. Basic idea of incremental conductance
method on a P-V Curve of solar module
Fig 4.shows that the slope of the P-V array power
curve is zero at The MPP, increasing on the left of
the MPP and decreasing on the Right hand side of
the
MPP. The basic equations of this method are as
follows.
𝑑𝐼𝑑𝑉 = − 𝐼𝑉At MPP
𝑑𝐼𝑑𝑉> − 𝐼𝑉Left of MPP
𝑑𝐼𝑑𝑉< − 𝐼𝑉Right of MPP
Where I and V are P-V array output current and
voltage respectively. The left hand side of
equations represents incremental conductance of P-
V module and the right hand side represents the
instantaneous conductance. When the ratio of
change in output conductance is equal to the
negative output conductance, the solar array will
operate at the maximum power point.
1.5 Incremental Conductance MPPT Algorithm:
This method exploits the assumption of the ratio of
change in output conductance is equal to the
negative output Conductance Instantaneous
conductance. We have,
P = V I
Applying the chain rule for the derivative of
products yields to
∂P/∂V = [∂ (VI)]/ ∂V
At MPP, as ∂P/∂V=0
The above equation could be written in terms of
array voltage V and array current I as ∂I/∂V = - I/V
(9)
The MPPT regulates the PWM control signal of the
dc – to – dc boost converter until the condition:
(∂I/∂V) + (I/V) = 0 is satisfied. In this method the
peak power of the module lies at above 98% of its
incremental conductance.
Fig 5.Matlab simulink modal of incremental
conductance
1.6 Flow chart of incremental conductance:
Fig 6. Matlab Simulink modal of MPPT using
incremental conductance with multi junction solar
cell.
II. Simulation results
Simulation of solar PV module in
MATLAB/Simulink The model of triple-junction
solar cell is implemented in the
MATLAB/Simulink as shown Fig 6. The proposed
Mamta Thakur Int. Journal of Engineering Research and Applications www.ijera.com
ISSN: 2248-9622, Vol. 5, Issue 9, (Part - 1) September 2015, pp.92-95
www.ijera.com 95 | P a g e
PV module is made of triple-junction solar cells in
series and provides.
A) The output of current from PV system with
using incremental conductance:
Fig6. Output of current from PV system using
incremental conductance
b) The output value of voltage from PV
system with incremental conductance:
Fig.7 Output value of voltage from PV system with
incremental conductance.
III. Conclusion
A new Matlab/Simulink model of PV module
based on high effectiveness InGaP/InGaAs/Ge
triple-junction solar cell is proposed. The proposed
model represents the PV cell, module, And array
for easy use on the simulation policy. The paper
proposes a simple MPPT method that requires only
measurements of Incremental conductance. The
proposed MPPT algorithm is called Incremental
conductance Method. However, by using this
MPPT method we have increased efficiency. This
method computes the maximum power and controls
directly the extracted power from the PV. The
proposed method offers different advantages which
are good tracking efficiency, response is high and
well control for the extracted power.
References:
[1] Mohammad A.S Masoum, Hooman
Dehbonei, Ewald F.Fuchs, “ Theoretical
and Experimental analysis of photovoltaic
system with voltage and current based
Maximum Power Point Tracking”, IEEE
Transactions on energy conversion
,vol.17,no 4, dec 2002.
[2] Jain, S., Agarwal, V. “A new algorithm
for rapid tracking of approximate
maximum power point in photovoltaic
systems” IEEE Trans. Power Electron.
Vol 2, no 1,2004.
[3] Nobuyoshi Mutoh, Masahiro Ohno,
Takayoshi Inoue “ A Method for MPPT
Control while searching for parameters
corresponding to Weather Conditions for
PV Generation System” IEEE Trans. On
industrial Electronics,Vol.53,No 4,2006.
[4] Kimball, J.W., Krein, P.T. “Discrete-time
ripple correlation control for maximum
power point tracking” IEEE Trans. Power
Electron, Vol 23, No 5 ,2008.
[5] Michael Sokolov, DoronShmilovitz, “
Load line Emulation Based Maximum
Power Point Tracting, IEEE trans.
[6] Fangrui Liu, ShanxuDuan, Fei Liu,
Bangyin Liu, Yong Kang, “ AVariable
step size INC MPPT Method for PV
system” IEEE trans. Vol. 55.No 7,2008.
[7] Hiren Patel , Vivek Agarwal, “ Maximum
Power Point Tracking Scheme for PV
system operating under Partially Shaded
condition” IEEE trans, Vol. 55,No 4
,2008.

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A MATLAB /Simulink Modal of Triple-Junction Solar Cell and MPPT Based on Incremental Conductance Algorithm for PV System

  • 1. Mamta Thakur Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 5, Issue 9, (Part - 1) September 2015, pp.92-95 www.ijera.com 92 | P a g e A MATLAB /Simulink Modal of Triple-Junction Solar Cell and MPPT Based on Incremental Conductance Algorithm for PV System Mamta Thakur1 , Baljit Singh2 M tech Student1 , DAV Institute of engineering and technology, Jalandhar Assistant professor2 , DAV Institute of engineering and technology, Jalandhar Abstract Photovoltaic energy is the most important energy resource since it is clean, pollution free, and unlimited. In current years, a large number of techniques have been projected for tracking the maximum power point. Maximum power point tracking is used in photovoltaic systems to maximize the photovoltaic array output power, irrespective of the temperature and radiation conditions and of the load electrical characteristics the PV array output power is used to directly control the boost converter, thus reducing the complexity of the system. The method is based on use of a Incremental conductance of the PV to determine an optimum operating current for the maximum output power. The implementation of a PV model is based on the triple-junction solar cell in the form of masked block in Matlab/Simulink software package that has a user-friendly icon. It is fast and accurate technique to follow the maximum power point. This paper presents a new Matlab/Simulink model of a PV module and a maximum power point tracking (MPPT) system for high efficiency InGaP/InGaAs/Ge triple- junction solar cell. Keywords: Photovoltaic System (PV), Maximum power point tracking (MPPT), Modeling of Multijunction solar cell, Incremental conductance Algorithm (ICA), Boost Converter and Simulation Results. I. INTRODUCTION As the consumption of the energy is increasing day by day, idea of exploring renewable energy sources are also growing. Due to our limited energy sources, renewable energy sources are the future. However, solar energy systems generally suffer from their low efficiencies and high costs. In order to overcome these drawbacks, maximum power should be extracted from the PV panel using MPPT techniques to optimize the efficiency of overall PV system [1]. The photovoltaic technology is an attractive option because it features several advantages such as absence of fuel cost, low maintenance requirement and environmental friendliness. The energy conversion efficiency of a PV generation system is low because the solar cell exhibits nonlinear current versus voltage and power versus voltage characteristics. These nonlinear characteristics are functions of weather conditions such as solar insulation and panel temperature [2]. In order to maintain efficient operation, maximum power point tracking algorithm which has quick response and can extract maximum power from the PV arrays in real time becomes essential in PGSs. Fueled by the advance in semiconductor technology, solar cells are one of the most promising candidates for alternate energy sources. Photovoltaic (PV) system is a green power source that converts sunlight to electricity. It has many applications as in space satellites and orbital stations, solar vehicles, power supply for loads in remote areas, and street lighting systems. Motivated by superior performance and high efficiency, multi-junction solar cells have received much attention in the concentrated solar cell systems due to their ultimate feathers. A multi- junction solar cells used in concentrated PV systems are different from silicon PV cells as they are capable of converting very large amounts of sunlight into energy at high efficiency. Multi- junction solar cells have high conversion efficiency with a record value of more than 40% [3]. 1.1 Photovoltaic cell: Photovoltaic cell generates electricity from the sun. PV panel works under the phenomenon of photoelectric effect. It directly converts sunlight into electricity. PV module represents the fundamental power conversion unit of a photovoltaic system. The output characteristics of PV module depend on the solar radiation, cell temperature and output voltage of PV module. Since a PV module has nonlinear characteristics, it is necessary to model it for the design and simulation of a maximum power point tracking for PV system applications. In order to get a maximum output power form the solar cells, a maximum power point tracker system is highly recommended. The output power delivered by a PV RESEARCH ARTICLE OPEN ACCESS
  • 2. Mamta Thakur Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 5, Issue 9, (Part - 1) September 2015, pp.92-95 www.ijera.com 93 | P a g e module can be maximized using MPPT control system. It consists of a power conditioner to interface the PV output to the load, and a control unit, which drives the power conditioner for extracting the maximum power from a PV array .The PV model based on a multi-junction solar cell is implement in the Matlab/ Simulink software package in the same way of Matlab block libraries or other component-based electronics simulation software packages [4][5]. Fig 1. Equivalent circuit modal of triple junction solar cell modal 1.2 Triple junction solar cell: Investigational procedures face greater challenges when more materials to be added on the sandwich stack. Based on data of lattice constant for IIIeV semiconductor material, it has seen that AlAs, GaAs, and Ge are matched on its lattice constant. Because of that these materials are able to be grown with less strain. Their band gap variation is also quite wide to perform a great absorption. Therefore, they can be used on the process of making the MJSC. However, the researchers stated that the band gap variation is not showing the satisfactory choice. Therefore, AlAs is considered having too high bandgap energy and can be substituted by InGaP. Because of that a 3 junctions solar cell designed by stacking InGaP, GaAs, and Ge all together with statistic as shown in . This is simply similar with the first double cell experiment but with addition of germanium. Option on choosing the Ge as third layer is not just by it is lattice and band gap matched with the other two, but its characteristic is similar with the silicon. Purified germanium can appear close to elemental silicon [6][7]. 1.3 Modeling in Matlab Simulink: Based on those theory and equations, the model of a MJSC is created by MATLAB/Simulink. Extraction result from MATLAB/Simulink Based on the Simulink models, tandem cell performance can be plotted in terms of generated power and voltage. In order to create a better comparison method, several results/plotted graphs are compared. As result, the MJSC is able to generate more energy than the conventional single cell. Fig. 2 Basic modal of triple junction solar cell Fig 3. Subsystem of triple junction solar cell simulink modal for photovoltaic system 1.4 Incremental conductance method: In incremental conductance method the array terminal voltage is always adjusted according to the MPP voltage it is based on the incremental and instantaneous conductance of the PV module.
  • 3. Mamta Thakur Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 5, Issue 9, (Part - 1) September 2015, pp.92-95 www.ijera.com 94 | P a g e Fig 4. Basic idea of incremental conductance method on a P-V Curve of solar module Fig 4.shows that the slope of the P-V array power curve is zero at The MPP, increasing on the left of the MPP and decreasing on the Right hand side of the MPP. The basic equations of this method are as follows. 𝑑𝐼𝑑𝑉 = − 𝐼𝑉At MPP 𝑑𝐼𝑑𝑉> − 𝐼𝑉Left of MPP 𝑑𝐼𝑑𝑉< − 𝐼𝑉Right of MPP Where I and V are P-V array output current and voltage respectively. The left hand side of equations represents incremental conductance of P- V module and the right hand side represents the instantaneous conductance. When the ratio of change in output conductance is equal to the negative output conductance, the solar array will operate at the maximum power point. 1.5 Incremental Conductance MPPT Algorithm: This method exploits the assumption of the ratio of change in output conductance is equal to the negative output Conductance Instantaneous conductance. We have, P = V I Applying the chain rule for the derivative of products yields to ∂P/∂V = [∂ (VI)]/ ∂V At MPP, as ∂P/∂V=0 The above equation could be written in terms of array voltage V and array current I as ∂I/∂V = - I/V (9) The MPPT regulates the PWM control signal of the dc – to – dc boost converter until the condition: (∂I/∂V) + (I/V) = 0 is satisfied. In this method the peak power of the module lies at above 98% of its incremental conductance. Fig 5.Matlab simulink modal of incremental conductance 1.6 Flow chart of incremental conductance: Fig 6. Matlab Simulink modal of MPPT using incremental conductance with multi junction solar cell. II. Simulation results Simulation of solar PV module in MATLAB/Simulink The model of triple-junction solar cell is implemented in the MATLAB/Simulink as shown Fig 6. The proposed
  • 4. Mamta Thakur Int. Journal of Engineering Research and Applications www.ijera.com ISSN: 2248-9622, Vol. 5, Issue 9, (Part - 1) September 2015, pp.92-95 www.ijera.com 95 | P a g e PV module is made of triple-junction solar cells in series and provides. A) The output of current from PV system with using incremental conductance: Fig6. Output of current from PV system using incremental conductance b) The output value of voltage from PV system with incremental conductance: Fig.7 Output value of voltage from PV system with incremental conductance. III. Conclusion A new Matlab/Simulink model of PV module based on high effectiveness InGaP/InGaAs/Ge triple-junction solar cell is proposed. The proposed model represents the PV cell, module, And array for easy use on the simulation policy. The paper proposes a simple MPPT method that requires only measurements of Incremental conductance. The proposed MPPT algorithm is called Incremental conductance Method. However, by using this MPPT method we have increased efficiency. This method computes the maximum power and controls directly the extracted power from the PV. The proposed method offers different advantages which are good tracking efficiency, response is high and well control for the extracted power. References: [1] Mohammad A.S Masoum, Hooman Dehbonei, Ewald F.Fuchs, “ Theoretical and Experimental analysis of photovoltaic system with voltage and current based Maximum Power Point Tracking”, IEEE Transactions on energy conversion ,vol.17,no 4, dec 2002. [2] Jain, S., Agarwal, V. “A new algorithm for rapid tracking of approximate maximum power point in photovoltaic systems” IEEE Trans. Power Electron. Vol 2, no 1,2004. [3] Nobuyoshi Mutoh, Masahiro Ohno, Takayoshi Inoue “ A Method for MPPT Control while searching for parameters corresponding to Weather Conditions for PV Generation System” IEEE Trans. On industrial Electronics,Vol.53,No 4,2006. [4] Kimball, J.W., Krein, P.T. “Discrete-time ripple correlation control for maximum power point tracking” IEEE Trans. Power Electron, Vol 23, No 5 ,2008. [5] Michael Sokolov, DoronShmilovitz, “ Load line Emulation Based Maximum Power Point Tracting, IEEE trans. [6] Fangrui Liu, ShanxuDuan, Fei Liu, Bangyin Liu, Yong Kang, “ AVariable step size INC MPPT Method for PV system” IEEE trans. Vol. 55.No 7,2008. [7] Hiren Patel , Vivek Agarwal, “ Maximum Power Point Tracking Scheme for PV system operating under Partially Shaded condition” IEEE trans, Vol. 55,No 4 ,2008.