A SIMPLE IMPLEMENTATION OF PERTURB AND OBSERVE CONTROL METHOD FOR MPPT WITH SOFT SWITCHING CONVERTER INTERFACE

Authors:

Mohammad Sadegh Javadi,Rahil Bahrami,

DOI NO:

https://doi.org/10.26782/jmcms.2019.12.00018

Keywords:

Maximum Power Point Tracking,Perturb and Observe,Photovoltaic Panel,Zero Current Switching Converters,

Abstract

This paper presents a new approach based upon Perturb and Observe (P&O) to track Maximum Power Point (MPP) in Photovoltaic (PV) systems. This algorithm has a wide step length range which results in a very high response time to changing ambient condition. This method is analogue based and thus no DSP and/or A/D are employed in this system which greatly reduces the complexity and cost. To further increase the total efficiency, a soft switching converter as an interface circuit is applied. Semiconductor devices in underutilized converter entirely are fully soft switched. The proposed system is analyzed and the simulation results are presented. A 135W prototype system is implemented and the stated experimental results confirm the veracity of the theoretical analysis.

Refference:

I. Adib, E. and H. Farzanehfard. “Family of Zero-Current Transition PWM
Converters.” IEEE Transactions on Industrial Electronics, 55(8): 3055-3063,
2008.
II. Banu, I. V., et al. Comparative analysis of the perturb-and-observe and
incremental conductance MPPT methods, 2017.
III. Brito, M. A. G. d., et al. “Evaluation of the Main MPPT Techniques for
Photovoltaic Applications.” IEEE Transactions on Industrial Electronics, 60(3):
1156-1167, 2013.
IV. Dash, S. K., et al. Comparative analysis of maximum power point (MPP)
tracking techniques for solar PV application using MATLAB simulink, 2016.
V. Hong, Y., et al. Efficient Maximum Power Point Tracking for a Distributed PV
System under Rapidly Changing Environmental Conditions, 2016.
VI. Khatib, T. E., Wilfried Mohamed,Azah “Simplified I-V characteristic tester for
photovoltaic modules using a DC-DC boost converter.” Sustainability
(Switzerland) 9(4): 66-77, 2017.
VII. Mohanty, P., et al. “MATLAB based modeling to study the performance of
different MPPT techniques used for solar PV system under various operating

conditions.” Renewable and Sustainable Energy Reviews 38(Supplement C):
581-593, 2014.
VIII. Murtaza, A. F., et al. “Comparative analysis of maximum power point tracking
techniques for PV applications.” INMIC: 83-88, 2013.
IX. Raj, J. S. C. M. and A. E. Jeyakumar A Novel Maximum Power Point Tracking
Technique for Photovoltaic Module Based on Power Plane Analysis of
Characteristics, 2015.
X. Reza Reisi, A., et al. “Classification and comparison of maximum power point
tracking techniques for photovoltaic system: A review.” Renewable and
Sustainable Energy Reviews, 19(Supplement C): 433-443, 2013.
XI. Rezk, H. and A. M. Eltamaly. “A comprehensive comparison of different
MPPT techniques for photovoltaic systems.” Solar Energy, 112(Supplement
C): 1-11, 2015.
XII. Romero-Cadaval, E., et al. “Grid-Connected Photovoltaic Generation Plants:
Components and Operation.” IEEE Industrial Electronics Magazine, 7(3): 6-20,
2013.
XIII. Sheraz, M. and M. A. Abido. “An efficient MPPT controller using differential
evolution and neural network.” 2012 IEEE International Conference on Power
and Energy (PECon), 6, 378-383, 2012.
XIV. Sreekanth, S. and I. J. Raglend. “A comparitive and analytical study of various
incremental algorithms applied in solar cell.” 2012 International Conference on
Computing, Electronics and Electrical Technologies (ICCEET): 452-456,
2012.

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