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MAXIMUM POWER POINT TRACKING BASED PHOTO VOLTAIC SYSTEM FOR SMART GRID INTEGRATION USING MATLAB

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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 10 Issue: 08 | Aug 2023 www.irjet.net p-ISSN: 2395-0072
© 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 976
MAXIMUM POWER POINT TRACKING BASED PHOTO VOLTAIC SYSTEM
FOR SMART GRID INTEGRATION USING MATLAB
Bashi Bashir1, Er Baljit Kaur 2
Post Graduate Student, Electrical Engineering Dept., IET Bhaddal Punjab India.
Assistant Professor, Electrical Engineering Dept. IET Bhaddal Punjab India.
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - The integration of photovoltaic (PV) systems
with smart grids has gained significant attention due to
its potential to enhance energy generation efficiency and
grid stability. This paper presents a comprehensivestudy
on a Maximum Power Point Tracking (MPPT)-based PV
system designed for seamless integration into smart
grids. The proposed system employs MATLAB as a
simulation and optimization tool to evaluate its
performance under varying environmental conditions
and grid scenarios. The primary focus of this research is
the implementation of advanced MPPT algorithms to
extract maximum power from the PV panels. Various
MPPT algorithms, such as Perturb and Observe (P&O),
Incremental Conductance, and Fuzzy Logic Control, are
examined and compared in terms of efficiency, accuracy,
and adaptability to changing irradiance levels. The
MATLAB/Simulink platform is utilized to model and
simulate the PV system, enabling the assessment of its
real-time behavior and dynamic responses.Furthermore,
the paper addresses the challenges and benefits of
integrating the MPPT-based PV system into a smart grid
framework. It investigates the bidirectional power flow,
demand-side management, and grid synchronization
aspects. The system's ability to contributetogridstability
by responding to grid frequency and voltage fluctuations
is explored. Simulation results demonstrate the
effectiveness of the proposed MPPT algorithms in
tracking the maximum power point and optimizing the
energy extraction from the PV panels. The system's
dynamic responsestogrideventsillustrateitspotential to
support the grid and enhance the overall power
generation efficiency.
Key Words:MaximumPowerPointTracking,MPPT Photo-
Voltaic System,Smart GridIntegration,Perturb&Observe
Technique, Grid Integration Techniques.
1.INTRODUCTION
Power production of panels. In recent years different
methods for MPPT has been introduced in many papers [3,
4]. Several converters have been proposed [5, 6]. Several
methods have been proposed to track the maximum power
point, which is noted below. Some methods, such as short
circuit current method and the open-circuit voltage method
use the relationship between solar cell parameters and
operating point of photovoltaic systems. These methods
need to separate arrays for measuring the short circuit
current and open-circuit voltage of the system, so the
amount of power wasted [7, 8]. Some methods are based on
the photovoltaic system model [9]. Renewable energy also
called non-conventional type of energy sources are the
sources which are continuously replenished by natural
processes. Solar energy, bio-energy (bio-fuels grown
sustainably), wind energy and hydro power etc., are someof
the examples of renewable energy sources [1].
2.RELATED WORK
A lot of research has been done in this field till date. In this
chapter we come across the following literature, In recent
years different solutions for MPPT have been proposed in
many papers. In [1], a MMPC method was used for a solar
converter to achieve MPPT in photovoltaic systems. In the
proposed method under uniform conditions, the PI
controller applied to the error between the initial reference
current from P&O and the actual current of the photovoltaic
array. [2] paper presents a new fuzzy logic based Maximum
Power Point Tracking (MPPT) algorithm for solarpanel.The
solar panel is modeled and analyzed in MATLAB/SIMULINK.
[3] presents Matlabsimulationofperturbandobserve(P&O)
and Incremental Conductance maximum power point
tracking (MPPT) method for solar photovoltaic system. One
of the newest and most efficient methods for extracting
maximum power from solar panels, as well as reducing the
generated power oscillations and stabilizing the operating
point is the Extremum Seeking Method (ESM), which
operates on the basis of the search pattern of the Extremum
point on the P-V curve of PV panel [4]. It increases the
efficiency of a solar panel [5] by tracking the maximum
power point. There are several MPPT control algorithms in
use. In [4][5] four control algorithms are analyzed
comparatively. A comparative analysis of the algorithms is
presented. [6] presents evaluations among the most usual
maximum power point tracking (MPPT) techniques, doing
meaningful comparisons with respect to the amount of
energy extracted from the photovoltaic (PV) panel [tracking
factor (TF)] in relation to the available power, PV voltage
ripple, dynamic response, and use of sensors.Manydifferent
techniques [7] for maximum power point tracking of
photovoltaic (PV) arrays are discussed. A drawback of P&O
is that, at steady state, the operating point oscillates around
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 10 Issue: 08 | Aug 2023 www.irjet.net p-ISSN: 2395-0072
© 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 977
the MPP giving rise to the waste of some amount of available
energy; moreover, it is well known that the P&O algorithm
can be confused [8] during those time intervals
characterized by rapidly changing atmospheric conditions.
Current–voltage and power–voltage characteristics of large
photovoltaic (PV) arrays under partially shaded conditions
are characterized by multiple steps and peaks [9].AsolarPV
power system consists of PV Module, DC-DCboostconverter
and an Adaptive Neuro-Fuzzy Inference System (AN FIS)
based MPPT controller is developed in MATLAB/Simulink
[10]. A good number of publications report on different
MPPT techniques for a PV system together with
implementation [11]. But, confusion lies while selecting a
MPPT as every technique has its own merits and demerits.
Photovoltaic (PV) energy has become a promising energy
source [12] because the demand for electrical energy from
renewable energy sources is increasing worldwideinrecent
decades. MPPT methods were tested under steady-state,
irradiation variation, and space conditions to verify the
system’s potential capability with PV module. Photovoltaic
(PV) system is one of the promising renewable energy
technologies [13].
3.OBJECTIVES AND PROBLEM FORMULATION
The primary objective of an MPPT system is to extract the
maximum available power from the photovoltaic (PV)array.
By tracking the maximum power point (MPP) of the PV
system, the MPPT algorithm ensures that the PV array
operates at its optimal voltage and current levels,
maximizing the power output. Another objective is to
achieve efficient energy conversion from the PV array to the
load or grid. By continuously adjustingtheoperatingpoint of
the PV system, the MPPT algorithm ensures that the energy
generated by the PV array is efficiently converted and
utilized. The MPPT system should beabletoadapttovarying
environmental conditionssuchaschangesinsolarirradiance
and temperature. It should continuouslytrack andadjustthe
operating point to account for these variations and maintain
optimal powergeneration.TheMPPTsystemshouldrespond
quickly to changes in solar conditions and accurately track
the MPP. Fast response helps capture transient changes in
solar irradiance, while tracking accuracy ensures that the
system operates close to the true MPP, minimizing power
losses.
3.1. Mathematical Modeling.
Develop mathematical models of the PV array, including the
current-voltage (I-V) characteristics, temperature
dependency, and other relevant parameters. This model
should accurately represent the behavior of the PV array
under different operating conditions.
MPPT Algorithm Selection: Select an appropriate MPPT
algorithm based on the system requirements and
constraints. The algorithm should be capable of accurately
tracking the MPP and achieving the objectives mentioned
above.
A solar cell is basically a P-N junction fabricated in a thin
wafer of semiconductor material such as Silicon or
Germanium). When the solar cell is exposed to sunlight, due
to electron-hole pair recombination, electricity is generated
when the photon energy exceeds band-gab energy of
semiconductor corresponding to the incident irradiation.
This effect is called photovoltaic effect.Generally,PVmodule
composed of series and parallel combination of solar cellsto
provide demanded power range. Usually, the outputcurrent
of PV module depends on photo current (Ipv) and
exponential function of diode saturation current (Io) and it
can be expressed as follows.
q= Electron charge (1.6x10-19 Coulombs)
K=Boltzmann constant (1.38x10-23 Nm/K)
T=PV Module temperature in Kelvin
I0=Reverse saturation current of diode
A=Diode ideality constant of diode
Ipv=Light generated current of PV cell in Ampere
Rs=Series Resistance of PV cell
Rsh=Shunt Resistance of PV cell
Ns=Number of PV module connected in series
I=Output current of PV cell in Ampere
Maximum power point tracking (MPPT) is an algorithm
implemented in photovoltaic (PV) inverters to continuously
adjust the impedance seen by the solar array to keep the PV
system operating at, or close to, the peak power point of the
PV panel under varying conditions, like changing solar
irradiance, temperature, and load.
MPPT algorithms are typically used in the controllerdesigns
for PV systems. The algorithms account for factors such as
variable irradiance (sunlight) and temperature to ensure
that the PV system generates maximum power at all times.
The three most common MPPT algorithms are:
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 10 Issue: 08 | Aug 2023 www.irjet.net p-ISSN: 2395-0072
© 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 978
3.1.1. Perturbation and observation (P&O).
Figure 1: Basic P&O algorithm.
This algorithm perturbs the operating voltage to ensure
maximum power. While there are several advanced and
more optimized variants ofthisalgorithm,a basic P&OMPPT
algorithm is shown in figure 1.
3.1.2. Incremental conductance:
This algorithm, shown below, compares the incremental
conductance to the instantaneous conductance in a PV
system. Depending on the result, it increases or decreases
the voltage until the maximum power point (MPP) is
reached. Unlike with the P&O algorithm,thevoltage remains
constant once MPP is reached as shown in Figure 2.
Figure 2: Incremental conductance algorithm.
3.1.3. Fractional open-circuit voltage:
This algorithm is based on the principle that the maximum
power point voltage is always a constant fraction oftheopen
circuit voltage. The open circuit voltage of the cells in the
photovoltaic array is measured and used as in input to the
controller.
4. METHODOLOGY
The Maximum Power Point Tracking (MPPT) technique is
widely used in photovoltaic (PV) systems to maximize the
power output of the PV module by operating it at its
maximum power point (MPP) under varying environmental
conditions. When combined with a boost converter, the
MPPT algorithm can efficiently regulate the output voltage
and current to match the load requirements. Here is a basic
methodology to develop an MPPT MATLAB model with a
boost converter:
Mathematical Model of PV Module: Start by developing a
mathematical model of the PV module. The most commonly
used model is the single-diode model, which represents the
current-voltage characteristics ofthePVmodule.Thismodel
incorporates parameters such as the seriesresistance,shunt
resistance, diode ideality factor, etc. The proposed Matlab
Model for carrying out this research work regarding the
overall performance of MPPT algorithm and its associates is
given below in Figure 3.
Figure 3: Proposed System Model for MPPT based Photo
Voltaic Systems.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 10 Issue: 08 | Aug 2023 www.irjet.net p-ISSN: 2395-0072
© 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 979
Figure 4: Irradiance Vs Time Relationship for a MPPT
based PV smart Grid System.
Figure 4 simulates the irradiance vs. time relationship by
generating a time series of irradiance values based on a
specific location's solar radiation data as shown in figure 4.
You can model the changes in irradiance throughout the day
and use this data to evaluate the performance of different
MPPT algorithms under varying conditions. MATLAB's
plotting capabilities allow you to visualize the irradiance vs.
time profile, providing insights into the dynamic behavior of
the system. Keep in mind that the irradiance profile will
differ based on location, time of year, weather conditions,
and other factors. In the proposed work the irradiance is set
at a constant value of 500 watts persquare meter.Therefore,
it's essential to consider specific data or generate
representative irradiance profiles for accurate simulations
and analysis.
Figure 5: PV Current Vs Time Relationship for a MPPT
based PV smart Grid System.
In MPPT solar PV systems, the PV currentvs.timeprofilecan
vary depending onseveral factors,includingsolarirradiance,
temperature, and the specific MPPT algorithm being used.
However, a general description of how the PV current
behaves over time in an MPPT system is provided as shown
in figure 5.
Figure 6: PV Current Vs Time Relationship for a MPPT
based PV smart Grid System.
In MPPT solar PV systems, the boost converter plays a
crucial role in regulating the output voltage and maximizing
power transfer from the solar panel to the load or grid. The
boost converter increases the voltage to match the desired
output voltage, allowing the PV system to operate at its
maximum power point (MPP). The boost converter also
affects the current flowingthroughthesystem.It'simportant
to note that the specific boost current profile as shown in
figure 6 over time will vary depending on the design of the
MPPT algorithm, control parameters, converter topology,
and the characteristics of the solar panel. Additionally,
external factors like shading, panel degradation, and partial
shading can also impact the boost current behavior.
5. RESULTS.
MATLAB provides a comprehensive environment for
modeling, simulating, and analyzing MPPT-based PV
systems. It offers various functions, toolboxes, and
simulation frameworks that enable users to design and
evaluate different MPPT algorithms, assess system
performance, and optimize the control parameters.
MATLAB's graphical capabilities also allow for visualizing
and interpreting simulation results effectively. The various
results obtained during the course of this research work are
illustrated as follows.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 10 Issue: 08 | Aug 2023 www.irjet.net p-ISSN: 2395-0072
© 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 980
Figure 7: Analytical Comparison between The Perturb and
Observe (P&O) algorithm, Incremental Conductance
(IncCond) algorithm, and Fractional Open Circuit Voltage
(FOCV) algorithm.
In MPPT algorithms like Perturb and Observe (P&O),
Incremental Conductance, and Fractional Open Circuit
Voltage (FOCV), the relationship between the maximum
power point (MPP) voltageandthephotovoltaic (PV)voltage
varies due to their different tracking mechanisms as shown
in figure 7. Here's a general understanding of how these
algorithms affect the MPP voltage in relation to the PV
voltage.
6. CONCLUSIONS
The implementation of Maximum Power Point Tracking
(MPPT) based photovoltaic systems for smart grid
integration using MATLAB offers significant benefits and
holds great promise for the advancement of renewable
energy technologies. The use of Maximum Power Point
Tracking based photovoltaic systems for smart grid
integration using MATLAB represents a significant step
towards a cleaner, more efficient, and sustainable energy
future. With continuous advancements and innovations in
the field, these technologies are poised to play a vital role in
meeting global energy demands while reducing
environmental impact.
REFERENCES
[1] ” Maximum power point trackingfor photovoltaic systems
under partial shading conditions via modifed model
predictive control”.” Loghman Samani1 ·
Rahmatollah Mirzaei1”.” Received: 20 July 2020 /
Accepted: 17 December 2020 © The Author(s), under
exclusive licence to Springer-Verlag GmbH, DE part of
Springer Nature 2021”.
[2] ”Design and Simulation of Intelligent Control MPPT
Technique for PV Module Using MATLAB/ SIMSCAPE”.”
Swati Singh1 , Lini Mathew2 , Shimia”.” International
Journal of Advanced Research in Electrical, Electronics
and Instrumentation Engineering (An ISO 3297: 2007
Certified Organization) Vol. 2, Issue 9, September 2013”.
[3] ”Matlab Simulation of AdvancedMPPTAlgorithmfor Solar
photovoltaic System”.” Ritesh Gupta , Giribabu
Dyanamina “.”978-1-5386-8190-9/19/$31.00 © 2019
IEEE”.
[4]” A New Method for Maximum Power Point Tracking in
Solar PV Systems by Combining Extremum Seeking
Method (ESM) and Model Predictive Control (MPC)”.”
Seyyed Majid Fatemi, Milad Samady Shadlu, Amin
Talebkhah”.” 978-1-7281-5849-5/20/$31.00 ©2020
IEEE”.
[5]” Modeling and Analysis of Maximum Power Point
Tracking Algorithms Using MATLAB/Simulink “.’Md.
Rashed Hassan Bipu' , Syed Mohammad Sifat Morshed
Chowdhury, Manik Dautta, Md. Zulkar Nain and Shahidul
Islam Khan”. “978-1-4673-6676-2/15/$31.00 ©2015
IEEE”.
[6]” Evaluation of the Main MPPT Techniques for
Photovoltaic Applications”.” Moacyr Aureliano Gomesde
Brito, Luigi Galotto, Jr., Leonardo Poltronieri Sampaio,
Guilherme de Azevedo e Melo, and Carlos Alberto
Canesin”.” 0278-0046/$31.00 © 2012 IEEE”.
[7]” Comparison of Photovoltaic Array Maximum Power
Point Tracking Techniques”.” Trishan Esram, Student
Member, IEEE, and Patrick L. Chapman, Senior Member,
IEEE”.” IEEE TRANSACTIONS ON ENERGY CONVERSION,
VOL. 22, NO. 2, JUNE 2007”.
[8]” Optimization of Perturb and Observe Maximum Power
Point Tracking Method”.” Nicola Femia, Member, IEEE,
Giovanni Petrone, Giovanni Spagnuolo, Member, IEEE,
and Massimo Vitelli”.” IEEE TRANSACTIONS ON POWER
ELECTRONICS, VOL. 20, NO. 4, JULY 2005”.
[9]” Maximum Power Point Tracking SchemeforPVSystems
Operating Under Partially Shaded Conditions”.” Hiren
Patel and Vivek Agarwal, Senior Member, IEEE”.” IEEE
TRANSACTIONSON INDUSTRIALELECTRONICS,VOL.55,
NO. 4, APRIL 2008”.
[10]” Maximum Power Point Tracking System for stand
alone solar PV Power System Using Adaptive Neuro-
Fuzzy Inference system “.”S. Sheik Mohammed , D.
Devaraj , T. P. Imthias Ahamed”.” 978-1-4673-6658-
8/16/$31.00 ©2016 IEEE”.
[11]” A Comparative Study on Maximum Power Point
Tracking Techniques for Photovoltaic Power Systems”.”
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 10 Issue: 08 | Aug 2023 www.irjet.net p-ISSN: 2395-0072
© 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 981
Bidyadhar Subudhi, Senior Member,IEEE,andRaseswari
Pradhan”.” IEEE TRANSACTIONS ON SUSTAINABLE
ENERGY, VOL. 4, NO. 1, JANUARY 2013”.
[12]” Photovoltaic system optimization by new maximum
power point tracking (MPPT) models based on analog
componentsunderharshcondition”.”MinhLongHoang”.”
Received November 10, 2020; acceptedJanuary3,2021”.
[13]”Intelligent Photovoltaic Maximum Power Point
Tracking Controller for Energy Enhancement in
Renewable Energy System”.” Subiyanto,1 Azah
Mohamed,2 and M. A. Hannan2”.” Received19November
2012; Revised 18 February 2013; Accepted 18 February
2013”.

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  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 08 | Aug 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 976 MAXIMUM POWER POINT TRACKING BASED PHOTO VOLTAIC SYSTEM FOR SMART GRID INTEGRATION USING MATLAB Bashi Bashir1, Er Baljit Kaur 2 Post Graduate Student, Electrical Engineering Dept., IET Bhaddal Punjab India. Assistant Professor, Electrical Engineering Dept. IET Bhaddal Punjab India. ---------------------------------------------------------------------***--------------------------------------------------------------------- Abstract - The integration of photovoltaic (PV) systems with smart grids has gained significant attention due to its potential to enhance energy generation efficiency and grid stability. This paper presents a comprehensivestudy on a Maximum Power Point Tracking (MPPT)-based PV system designed for seamless integration into smart grids. The proposed system employs MATLAB as a simulation and optimization tool to evaluate its performance under varying environmental conditions and grid scenarios. The primary focus of this research is the implementation of advanced MPPT algorithms to extract maximum power from the PV panels. Various MPPT algorithms, such as Perturb and Observe (P&O), Incremental Conductance, and Fuzzy Logic Control, are examined and compared in terms of efficiency, accuracy, and adaptability to changing irradiance levels. The MATLAB/Simulink platform is utilized to model and simulate the PV system, enabling the assessment of its real-time behavior and dynamic responses.Furthermore, the paper addresses the challenges and benefits of integrating the MPPT-based PV system into a smart grid framework. It investigates the bidirectional power flow, demand-side management, and grid synchronization aspects. The system's ability to contributetogridstability by responding to grid frequency and voltage fluctuations is explored. Simulation results demonstrate the effectiveness of the proposed MPPT algorithms in tracking the maximum power point and optimizing the energy extraction from the PV panels. The system's dynamic responsestogrideventsillustrateitspotential to support the grid and enhance the overall power generation efficiency. Key Words:MaximumPowerPointTracking,MPPT Photo- Voltaic System,Smart GridIntegration,Perturb&Observe Technique, Grid Integration Techniques. 1.INTRODUCTION Power production of panels. In recent years different methods for MPPT has been introduced in many papers [3, 4]. Several converters have been proposed [5, 6]. Several methods have been proposed to track the maximum power point, which is noted below. Some methods, such as short circuit current method and the open-circuit voltage method use the relationship between solar cell parameters and operating point of photovoltaic systems. These methods need to separate arrays for measuring the short circuit current and open-circuit voltage of the system, so the amount of power wasted [7, 8]. Some methods are based on the photovoltaic system model [9]. Renewable energy also called non-conventional type of energy sources are the sources which are continuously replenished by natural processes. Solar energy, bio-energy (bio-fuels grown sustainably), wind energy and hydro power etc., are someof the examples of renewable energy sources [1]. 2.RELATED WORK A lot of research has been done in this field till date. In this chapter we come across the following literature, In recent years different solutions for MPPT have been proposed in many papers. In [1], a MMPC method was used for a solar converter to achieve MPPT in photovoltaic systems. In the proposed method under uniform conditions, the PI controller applied to the error between the initial reference current from P&O and the actual current of the photovoltaic array. [2] paper presents a new fuzzy logic based Maximum Power Point Tracking (MPPT) algorithm for solarpanel.The solar panel is modeled and analyzed in MATLAB/SIMULINK. [3] presents Matlabsimulationofperturbandobserve(P&O) and Incremental Conductance maximum power point tracking (MPPT) method for solar photovoltaic system. One of the newest and most efficient methods for extracting maximum power from solar panels, as well as reducing the generated power oscillations and stabilizing the operating point is the Extremum Seeking Method (ESM), which operates on the basis of the search pattern of the Extremum point on the P-V curve of PV panel [4]. It increases the efficiency of a solar panel [5] by tracking the maximum power point. There are several MPPT control algorithms in use. In [4][5] four control algorithms are analyzed comparatively. A comparative analysis of the algorithms is presented. [6] presents evaluations among the most usual maximum power point tracking (MPPT) techniques, doing meaningful comparisons with respect to the amount of energy extracted from the photovoltaic (PV) panel [tracking factor (TF)] in relation to the available power, PV voltage ripple, dynamic response, and use of sensors.Manydifferent techniques [7] for maximum power point tracking of photovoltaic (PV) arrays are discussed. A drawback of P&O is that, at steady state, the operating point oscillates around
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 08 | Aug 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 977 the MPP giving rise to the waste of some amount of available energy; moreover, it is well known that the P&O algorithm can be confused [8] during those time intervals characterized by rapidly changing atmospheric conditions. Current–voltage and power–voltage characteristics of large photovoltaic (PV) arrays under partially shaded conditions are characterized by multiple steps and peaks [9].AsolarPV power system consists of PV Module, DC-DCboostconverter and an Adaptive Neuro-Fuzzy Inference System (AN FIS) based MPPT controller is developed in MATLAB/Simulink [10]. A good number of publications report on different MPPT techniques for a PV system together with implementation [11]. But, confusion lies while selecting a MPPT as every technique has its own merits and demerits. Photovoltaic (PV) energy has become a promising energy source [12] because the demand for electrical energy from renewable energy sources is increasing worldwideinrecent decades. MPPT methods were tested under steady-state, irradiation variation, and space conditions to verify the system’s potential capability with PV module. Photovoltaic (PV) system is one of the promising renewable energy technologies [13]. 3.OBJECTIVES AND PROBLEM FORMULATION The primary objective of an MPPT system is to extract the maximum available power from the photovoltaic (PV)array. By tracking the maximum power point (MPP) of the PV system, the MPPT algorithm ensures that the PV array operates at its optimal voltage and current levels, maximizing the power output. Another objective is to achieve efficient energy conversion from the PV array to the load or grid. By continuously adjustingtheoperatingpoint of the PV system, the MPPT algorithm ensures that the energy generated by the PV array is efficiently converted and utilized. The MPPT system should beabletoadapttovarying environmental conditionssuchaschangesinsolarirradiance and temperature. It should continuouslytrack andadjustthe operating point to account for these variations and maintain optimal powergeneration.TheMPPTsystemshouldrespond quickly to changes in solar conditions and accurately track the MPP. Fast response helps capture transient changes in solar irradiance, while tracking accuracy ensures that the system operates close to the true MPP, minimizing power losses. 3.1. Mathematical Modeling. Develop mathematical models of the PV array, including the current-voltage (I-V) characteristics, temperature dependency, and other relevant parameters. This model should accurately represent the behavior of the PV array under different operating conditions. MPPT Algorithm Selection: Select an appropriate MPPT algorithm based on the system requirements and constraints. The algorithm should be capable of accurately tracking the MPP and achieving the objectives mentioned above. A solar cell is basically a P-N junction fabricated in a thin wafer of semiconductor material such as Silicon or Germanium). When the solar cell is exposed to sunlight, due to electron-hole pair recombination, electricity is generated when the photon energy exceeds band-gab energy of semiconductor corresponding to the incident irradiation. This effect is called photovoltaic effect.Generally,PVmodule composed of series and parallel combination of solar cellsto provide demanded power range. Usually, the outputcurrent of PV module depends on photo current (Ipv) and exponential function of diode saturation current (Io) and it can be expressed as follows. q= Electron charge (1.6x10-19 Coulombs) K=Boltzmann constant (1.38x10-23 Nm/K) T=PV Module temperature in Kelvin I0=Reverse saturation current of diode A=Diode ideality constant of diode Ipv=Light generated current of PV cell in Ampere Rs=Series Resistance of PV cell Rsh=Shunt Resistance of PV cell Ns=Number of PV module connected in series I=Output current of PV cell in Ampere Maximum power point tracking (MPPT) is an algorithm implemented in photovoltaic (PV) inverters to continuously adjust the impedance seen by the solar array to keep the PV system operating at, or close to, the peak power point of the PV panel under varying conditions, like changing solar irradiance, temperature, and load. MPPT algorithms are typically used in the controllerdesigns for PV systems. The algorithms account for factors such as variable irradiance (sunlight) and temperature to ensure that the PV system generates maximum power at all times. The three most common MPPT algorithms are:
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 08 | Aug 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 978 3.1.1. Perturbation and observation (P&O). Figure 1: Basic P&O algorithm. This algorithm perturbs the operating voltage to ensure maximum power. While there are several advanced and more optimized variants ofthisalgorithm,a basic P&OMPPT algorithm is shown in figure 1. 3.1.2. Incremental conductance: This algorithm, shown below, compares the incremental conductance to the instantaneous conductance in a PV system. Depending on the result, it increases or decreases the voltage until the maximum power point (MPP) is reached. Unlike with the P&O algorithm,thevoltage remains constant once MPP is reached as shown in Figure 2. Figure 2: Incremental conductance algorithm. 3.1.3. Fractional open-circuit voltage: This algorithm is based on the principle that the maximum power point voltage is always a constant fraction oftheopen circuit voltage. The open circuit voltage of the cells in the photovoltaic array is measured and used as in input to the controller. 4. METHODOLOGY The Maximum Power Point Tracking (MPPT) technique is widely used in photovoltaic (PV) systems to maximize the power output of the PV module by operating it at its maximum power point (MPP) under varying environmental conditions. When combined with a boost converter, the MPPT algorithm can efficiently regulate the output voltage and current to match the load requirements. Here is a basic methodology to develop an MPPT MATLAB model with a boost converter: Mathematical Model of PV Module: Start by developing a mathematical model of the PV module. The most commonly used model is the single-diode model, which represents the current-voltage characteristics ofthePVmodule.Thismodel incorporates parameters such as the seriesresistance,shunt resistance, diode ideality factor, etc. The proposed Matlab Model for carrying out this research work regarding the overall performance of MPPT algorithm and its associates is given below in Figure 3. Figure 3: Proposed System Model for MPPT based Photo Voltaic Systems.
  • 4. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 08 | Aug 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 979 Figure 4: Irradiance Vs Time Relationship for a MPPT based PV smart Grid System. Figure 4 simulates the irradiance vs. time relationship by generating a time series of irradiance values based on a specific location's solar radiation data as shown in figure 4. You can model the changes in irradiance throughout the day and use this data to evaluate the performance of different MPPT algorithms under varying conditions. MATLAB's plotting capabilities allow you to visualize the irradiance vs. time profile, providing insights into the dynamic behavior of the system. Keep in mind that the irradiance profile will differ based on location, time of year, weather conditions, and other factors. In the proposed work the irradiance is set at a constant value of 500 watts persquare meter.Therefore, it's essential to consider specific data or generate representative irradiance profiles for accurate simulations and analysis. Figure 5: PV Current Vs Time Relationship for a MPPT based PV smart Grid System. In MPPT solar PV systems, the PV currentvs.timeprofilecan vary depending onseveral factors,includingsolarirradiance, temperature, and the specific MPPT algorithm being used. However, a general description of how the PV current behaves over time in an MPPT system is provided as shown in figure 5. Figure 6: PV Current Vs Time Relationship for a MPPT based PV smart Grid System. In MPPT solar PV systems, the boost converter plays a crucial role in regulating the output voltage and maximizing power transfer from the solar panel to the load or grid. The boost converter increases the voltage to match the desired output voltage, allowing the PV system to operate at its maximum power point (MPP). The boost converter also affects the current flowingthroughthesystem.It'simportant to note that the specific boost current profile as shown in figure 6 over time will vary depending on the design of the MPPT algorithm, control parameters, converter topology, and the characteristics of the solar panel. Additionally, external factors like shading, panel degradation, and partial shading can also impact the boost current behavior. 5. RESULTS. MATLAB provides a comprehensive environment for modeling, simulating, and analyzing MPPT-based PV systems. It offers various functions, toolboxes, and simulation frameworks that enable users to design and evaluate different MPPT algorithms, assess system performance, and optimize the control parameters. MATLAB's graphical capabilities also allow for visualizing and interpreting simulation results effectively. The various results obtained during the course of this research work are illustrated as follows.
  • 5. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 08 | Aug 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 980 Figure 7: Analytical Comparison between The Perturb and Observe (P&O) algorithm, Incremental Conductance (IncCond) algorithm, and Fractional Open Circuit Voltage (FOCV) algorithm. In MPPT algorithms like Perturb and Observe (P&O), Incremental Conductance, and Fractional Open Circuit Voltage (FOCV), the relationship between the maximum power point (MPP) voltageandthephotovoltaic (PV)voltage varies due to their different tracking mechanisms as shown in figure 7. Here's a general understanding of how these algorithms affect the MPP voltage in relation to the PV voltage. 6. CONCLUSIONS The implementation of Maximum Power Point Tracking (MPPT) based photovoltaic systems for smart grid integration using MATLAB offers significant benefits and holds great promise for the advancement of renewable energy technologies. The use of Maximum Power Point Tracking based photovoltaic systems for smart grid integration using MATLAB represents a significant step towards a cleaner, more efficient, and sustainable energy future. With continuous advancements and innovations in the field, these technologies are poised to play a vital role in meeting global energy demands while reducing environmental impact. REFERENCES [1] ” Maximum power point trackingfor photovoltaic systems under partial shading conditions via modifed model predictive control”.” Loghman Samani1 · Rahmatollah Mirzaei1”.” Received: 20 July 2020 / Accepted: 17 December 2020 © The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature 2021”. [2] ”Design and Simulation of Intelligent Control MPPT Technique for PV Module Using MATLAB/ SIMSCAPE”.” Swati Singh1 , Lini Mathew2 , Shimia”.” International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering (An ISO 3297: 2007 Certified Organization) Vol. 2, Issue 9, September 2013”. [3] ”Matlab Simulation of AdvancedMPPTAlgorithmfor Solar photovoltaic System”.” Ritesh Gupta , Giribabu Dyanamina “.”978-1-5386-8190-9/19/$31.00 © 2019 IEEE”. [4]” A New Method for Maximum Power Point Tracking in Solar PV Systems by Combining Extremum Seeking Method (ESM) and Model Predictive Control (MPC)”.” Seyyed Majid Fatemi, Milad Samady Shadlu, Amin Talebkhah”.” 978-1-7281-5849-5/20/$31.00 ©2020 IEEE”. [5]” Modeling and Analysis of Maximum Power Point Tracking Algorithms Using MATLAB/Simulink “.’Md. Rashed Hassan Bipu' , Syed Mohammad Sifat Morshed Chowdhury, Manik Dautta, Md. Zulkar Nain and Shahidul Islam Khan”. “978-1-4673-6676-2/15/$31.00 ©2015 IEEE”. [6]” Evaluation of the Main MPPT Techniques for Photovoltaic Applications”.” Moacyr Aureliano Gomesde Brito, Luigi Galotto, Jr., Leonardo Poltronieri Sampaio, Guilherme de Azevedo e Melo, and Carlos Alberto Canesin”.” 0278-0046/$31.00 © 2012 IEEE”. [7]” Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques”.” Trishan Esram, Student Member, IEEE, and Patrick L. Chapman, Senior Member, IEEE”.” IEEE TRANSACTIONS ON ENERGY CONVERSION, VOL. 22, NO. 2, JUNE 2007”. [8]” Optimization of Perturb and Observe Maximum Power Point Tracking Method”.” Nicola Femia, Member, IEEE, Giovanni Petrone, Giovanni Spagnuolo, Member, IEEE, and Massimo Vitelli”.” IEEE TRANSACTIONS ON POWER ELECTRONICS, VOL. 20, NO. 4, JULY 2005”. [9]” Maximum Power Point Tracking SchemeforPVSystems Operating Under Partially Shaded Conditions”.” Hiren Patel and Vivek Agarwal, Senior Member, IEEE”.” IEEE TRANSACTIONSON INDUSTRIALELECTRONICS,VOL.55, NO. 4, APRIL 2008”. [10]” Maximum Power Point Tracking System for stand alone solar PV Power System Using Adaptive Neuro- Fuzzy Inference system “.”S. Sheik Mohammed , D. Devaraj , T. P. Imthias Ahamed”.” 978-1-4673-6658- 8/16/$31.00 ©2016 IEEE”. [11]” A Comparative Study on Maximum Power Point Tracking Techniques for Photovoltaic Power Systems”.”
  • 6. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 10 Issue: 08 | Aug 2023 www.irjet.net p-ISSN: 2395-0072 © 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 981 Bidyadhar Subudhi, Senior Member,IEEE,andRaseswari Pradhan”.” IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, VOL. 4, NO. 1, JANUARY 2013”. [12]” Photovoltaic system optimization by new maximum power point tracking (MPPT) models based on analog componentsunderharshcondition”.”MinhLongHoang”.” Received November 10, 2020; acceptedJanuary3,2021”. [13]”Intelligent Photovoltaic Maximum Power Point Tracking Controller for Energy Enhancement in Renewable Energy System”.” Subiyanto,1 Azah Mohamed,2 and M. A. Hannan2”.” Received19November 2012; Revised 18 February 2013; Accepted 18 February 2013”.