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ELECTRICAL PROJECTS USING MATLAB/SIMULINK
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0-9347143789/9949240245
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Performance Analysis of P&O and Incremental Conductance MPPT
Algorithms Under Rapidly Changing Weather Conditions
ABSTRACT:
In this paper, the comparative analysis of two maximum power point tracking (MPPT)
algorithms namely Perturb and Observe (P&O) and Incremental conductance (InC) is presented
for the Photo-Voltaic (PV) power generation system. The mathematical model of the PV array is
developed and transformed into MATLAB/Simulink environment. This model is used
throughout the paper to simulate the PV source characteristics identical to that of a 20 Wp PV
panel. The MPPT algorithms generate proper duty ratio for interfacing dc-dc boost converter
driving resistive load. The performances of these algorithms are evaluated at gradual and rapidly
changing weather conditions where it is observed that InC method tracks the rapidly changing
insolation level at a faster rate as compared to P&O. Depending upon the prevailing
environmental conditions the MPPT algorithms finds a unique operating point to track the
maximum available power. The algorithms find a fixed duty ratio by comparing the previous
power, voltage and current thereby optimizing the power output of the panel. The main objective
is to compare the tracking capability and stability of the algorithms under different
environmental situations on par with other real world tests.
KEYWORDS:
1. Maximum Power Point Tracking (MPPT)
2. Photovoltaic (PV)
3. DC-DC Boost Converter
4. Perturb & Observe (P&O)
5. Incremental Conduction (InC)
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SOFTWARE:MATLAB/SIMULINK
BLOCK DIAGRAM:
Fig. 1. PV Panel Interfaced with Boost Converter for MPP Tracking
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EXPECTED SIMULATION RESULTS:
Fig. 2. Experimental Measured PV Characteristics
Fig. 3. Experimental Results showing Source Voltage, Load Voltage and Duty Ratio
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Fig. 4. Performances of P&O and InC under slowly changing climatic conditions (a)
Irradiations Levels (b), (c) & (d) Duty ratio (e) Panel Voltage (f) Panel Power (g)
Oscillations in Duty by the algorithms
ELECTRICAL PROJECTS USING MATLAB/SIMULINK
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Fig. 5. Performances of P&O and InC under rapidly changing climatic conditions (a)
Insolations (b)& (c) Duty ratio (d)&(e) Panel Voltage (f) Panel Power
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CONCLUSION:
The presented studies in this paper were the comparative analysis of two MPPT algorithms,
Perturb & Observe and Incremental Conductance and conducted through boost converter. The
simulation results prove positively that the P&O and the Incremental Conductance MPPTs reach
the intended maximum power point. In the slowly changing whether both algorithms perform
without significantly changes. It has observed that the Incremental Conductance reaches at the
MPP three times faster than P&O in all cases and shows better performance for rapid changes
and a better stability when the MPP is achieved. It has observed that P&O shows oscillations
around the MPP when it reaches in steady state position which results in some power loss. But in
case of InC there are no additional oscillations at steady state condition. However the P&O
MPPT are mostly used in practice due to their simplicity. The originality and the specificity of
the presented results obtain during this research reside in the fact that external parameters as
irradiation and fixed temperature were introduced, at first as linear functions (ramp input) and, at
second as random (step input) ones describing more closely the actual applicative conditions.
The effect of the changing weather on the voltage and power of the PV panel according to
change in MPP has shown in the results section.
REFERENCES:
[1] Tariq, J. Asghar, “Development of an Analog Maximum Power Point Tracker for
Photovoltaic Panel”, PEDS. International Conference on, 2005, vol. 1, no., pp. 251, 255.
[2] H. Al-Bahadili, H. Al-Saadi, R. Al-Sayed, M.A.-S. Hasan, “Simulation of maximum power
point tracking for photovoltaic systems”, Applications of Information Technology to Renewable
Energy Processes and Systems (IT-DREPS), 1st International Conference & Exhibition on the ,
2013, vol., no., pp. 79,84.
ELECTRICAL PROJECTS USING MATLAB/SIMULINK
Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in
0-9347143789/9949240245
For Simulation Results of the project Contact Us
Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in
0-9347143789/9949240245
[3] Lu Yuan, Cui Xingxing, “Study on maximum power point tracking for photovoltaic power
generation system”, Computer Science and Information Technology (ICCSIT), 3rd IEEE
International Conference on, 2010, vol. 9, pp. 180,183.
[4] G. Walker, “Evaluating MPPT converter topologies using a MATLAB PV model”, Journal
of Electrical & Electronics Engineering, 2001, Australia, IEAust, vol. 21, No. 1, pp. 49-56.
[5] Beriber, D.; Talha, A, "MPPT techniques for PV systems," Power Engineering, Energy and
Electrical Drives (POWERENG), 2013 Fourth International Conference on, vol., no., pp.1437,
1442, 13-17 May 2013.

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Performance analysis of p&o and incremental conductance mppt algorithms under rapidly changing weather conditions

  • 1. ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 For Simulation Results of the project Contact Us Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 Performance Analysis of P&O and Incremental Conductance MPPT Algorithms Under Rapidly Changing Weather Conditions ABSTRACT: In this paper, the comparative analysis of two maximum power point tracking (MPPT) algorithms namely Perturb and Observe (P&O) and Incremental conductance (InC) is presented for the Photo-Voltaic (PV) power generation system. The mathematical model of the PV array is developed and transformed into MATLAB/Simulink environment. This model is used throughout the paper to simulate the PV source characteristics identical to that of a 20 Wp PV panel. The MPPT algorithms generate proper duty ratio for interfacing dc-dc boost converter driving resistive load. The performances of these algorithms are evaluated at gradual and rapidly changing weather conditions where it is observed that InC method tracks the rapidly changing insolation level at a faster rate as compared to P&O. Depending upon the prevailing environmental conditions the MPPT algorithms finds a unique operating point to track the maximum available power. The algorithms find a fixed duty ratio by comparing the previous power, voltage and current thereby optimizing the power output of the panel. The main objective is to compare the tracking capability and stability of the algorithms under different environmental situations on par with other real world tests. KEYWORDS: 1. Maximum Power Point Tracking (MPPT) 2. Photovoltaic (PV) 3. DC-DC Boost Converter 4. Perturb & Observe (P&O) 5. Incremental Conduction (InC)
  • 2. ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 For Simulation Results of the project Contact Us Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 SOFTWARE:MATLAB/SIMULINK BLOCK DIAGRAM: Fig. 1. PV Panel Interfaced with Boost Converter for MPP Tracking
  • 3. ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 For Simulation Results of the project Contact Us Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 EXPECTED SIMULATION RESULTS: Fig. 2. Experimental Measured PV Characteristics Fig. 3. Experimental Results showing Source Voltage, Load Voltage and Duty Ratio
  • 4. ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 For Simulation Results of the project Contact Us Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 Fig. 4. Performances of P&O and InC under slowly changing climatic conditions (a) Irradiations Levels (b), (c) & (d) Duty ratio (e) Panel Voltage (f) Panel Power (g) Oscillations in Duty by the algorithms
  • 5. ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 For Simulation Results of the project Contact Us Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 Fig. 5. Performances of P&O and InC under rapidly changing climatic conditions (a) Insolations (b)& (c) Duty ratio (d)&(e) Panel Voltage (f) Panel Power
  • 6. ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 For Simulation Results of the project Contact Us Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 CONCLUSION: The presented studies in this paper were the comparative analysis of two MPPT algorithms, Perturb & Observe and Incremental Conductance and conducted through boost converter. The simulation results prove positively that the P&O and the Incremental Conductance MPPTs reach the intended maximum power point. In the slowly changing whether both algorithms perform without significantly changes. It has observed that the Incremental Conductance reaches at the MPP three times faster than P&O in all cases and shows better performance for rapid changes and a better stability when the MPP is achieved. It has observed that P&O shows oscillations around the MPP when it reaches in steady state position which results in some power loss. But in case of InC there are no additional oscillations at steady state condition. However the P&O MPPT are mostly used in practice due to their simplicity. The originality and the specificity of the presented results obtain during this research reside in the fact that external parameters as irradiation and fixed temperature were introduced, at first as linear functions (ramp input) and, at second as random (step input) ones describing more closely the actual applicative conditions. The effect of the changing weather on the voltage and power of the PV panel according to change in MPP has shown in the results section. REFERENCES: [1] Tariq, J. Asghar, “Development of an Analog Maximum Power Point Tracker for Photovoltaic Panel”, PEDS. International Conference on, 2005, vol. 1, no., pp. 251, 255. [2] H. Al-Bahadili, H. Al-Saadi, R. Al-Sayed, M.A.-S. Hasan, “Simulation of maximum power point tracking for photovoltaic systems”, Applications of Information Technology to Renewable Energy Processes and Systems (IT-DREPS), 1st International Conference & Exhibition on the , 2013, vol., no., pp. 79,84.
  • 7. ELECTRICAL PROJECTS USING MATLAB/SIMULINK Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 For Simulation Results of the project Contact Us Gmail: asokatechnologies@gmail.com, Website: http://www.asokatechnologies.in 0-9347143789/9949240245 [3] Lu Yuan, Cui Xingxing, “Study on maximum power point tracking for photovoltaic power generation system”, Computer Science and Information Technology (ICCSIT), 3rd IEEE International Conference on, 2010, vol. 9, pp. 180,183. [4] G. Walker, “Evaluating MPPT converter topologies using a MATLAB PV model”, Journal of Electrical & Electronics Engineering, 2001, Australia, IEAust, vol. 21, No. 1, pp. 49-56. [5] Beriber, D.; Talha, A, "MPPT techniques for PV systems," Power Engineering, Energy and Electrical Drives (POWERENG), 2013 Fourth International Conference on, vol., no., pp.1437, 1442, 13-17 May 2013.