Maximum
power point trackers are so important in photovoltaic systems to increase their
efficiency. Many methods have been proposed to achieve the maximum power that
the PV modules are capable of producing under different weather conditions.
This paper proposed an intelligent method for maximum power point tracking
based on fuzzy logic controller. The
system consists of a photovoltaic solar module connected to a DC-DC Buck-boost
converter. The system has been experienced under disturbance in the
photovoltaic temperature and irradiation level. The simulation results show
that the proposed maximum power tracker could track the maximum power
accurately and successfully in all condition tested. Comparison of different
performance parameters such as: tracking efficiency and response time of the
system shows that the proposed method gives higher efficiency and better performance
than the conventional perturbation and observation method.
SOFTWARE: MATLAB/SIMULINK
Fig.
1: System used for simulation.
EXPECTED SIMULATION RESULTS:
Fig.
2: case 1: changing the solar radiation
Fig.
3: Case 1: performance of FLC method
Fig.
4: Case I: performance of P&O method
Fig,
5: Case 2: changing the solar radiation
Fig,
6: Case 2: performance of FLC method
Fig,
7: Case 2: performance of P&O method
Fig,
8: Changing the temperature
Fig,
9: Performance of FLC method
Fig,
10: Performance of P&O method
CONCLUSION:
Photovoltaic
model using Matlab/STMULTNK and design of appropriate DC-DC buck-boost
converter with a maximum power point tracking facility are presented in this
paper. A new method for MPPT based fuzzy logic controller is presented and
compared with the conventional P&O MPPT method. The models are tested under
disturbance in both solar radiation and photovoltaic temperature. Simulation
results show that the proposed method effectively tracks the maximum power
point under different ambient conditions.The oscillation around MPP is
decreased and the response is faster in compared with the conventional methods.
Comparing the tracking efficiency of both methods indicates that the proposed
method has a higher efficiency than the conventional P&O MPPT method.
REFERENCES:
[1]
Jancarle L. Dos Santos, Fernando L. M. Antunes and Anis Chehab, "A Maximum
Power Point Tracker for PV Systems Using a High Performance Boost
Converter", Solar Energy, Issue 7, Vol. 80, pp. 772- 778,2005.
[2]
Ting-Chung Yu and Tang-Shiuan Chien, "Analysis and Simulation of Characteristics
and Maximum Power Point Tracking for Photovoltaic Systems", Conference,P prpo.c
1e3ed3i9n g- s1 3o4f4 ,PT aoiwpeeri, 2E0l0e9c.t ronics and Drive Systems
[3]
Roberto Faranda, Sonia Leva, "Energy Comparison of MPPT techniques for PV
Systems", Wseas Transctions on Power System, Issue 6, Vol. 3, pp. 446-455,
June 2008.
[4]
D. P. Hohm and M. E. Ropp, "Comparative Study of Maximum Power Point
Tracking Algorithms using an experimental, programmable, maximum power point
tracking test bed",P roceedings of Photovoltaic Specialists Conference ,pp.
1699 - 1702, USA,2000.
[5]
Trishan Esram and Patrick 1. Chapman, "Comparison of Photovoltaic Array
Maximum Power Point Tracking Techniques", Energy ConverSion, Issue 2, Vol.
22, pp. 439 - 449, May 2007.
