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Maximum Power Extraction from PV System Using Fuzzy Logic

Dhruv M. Dhivar1 , M.B. Jhala2 , M. K. Kathiria3

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-4 , Page no. 835-840, Apr-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i4.835840

Online published on Apr 30, 2019

Copyright © Dhruv M. Dhivar, M.B. Jhala, M. K. Kathiria . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Dhruv M. Dhivar, M.B. Jhala, M. K. Kathiria, “Maximum Power Extraction from PV System Using Fuzzy Logic,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.4, pp.835-840, 2019.

MLA Style Citation: Dhruv M. Dhivar, M.B. Jhala, M. K. Kathiria "Maximum Power Extraction from PV System Using Fuzzy Logic." International Journal of Computer Sciences and Engineering 7.4 (2019): 835-840.

APA Style Citation: Dhruv M. Dhivar, M.B. Jhala, M. K. Kathiria, (2019). Maximum Power Extraction from PV System Using Fuzzy Logic. International Journal of Computer Sciences and Engineering, 7(4), 835-840.

BibTex Style Citation:
@article{Dhivar_2019,
author = {Dhruv M. Dhivar, M.B. Jhala, M. K. Kathiria},
title = {Maximum Power Extraction from PV System Using Fuzzy Logic},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2019},
volume = {7},
Issue = {4},
month = {4},
year = {2019},
issn = {2347-2693},
pages = {835-840},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4126},
doi = {https://doi.org/10.26438/ijcse/v7i4.835840}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i4.835840}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4126
TI - Maximum Power Extraction from PV System Using Fuzzy Logic
T2 - International Journal of Computer Sciences and Engineering
AU - Dhruv M. Dhivar, M.B. Jhala, M. K. Kathiria
PY - 2019
DA - 2019/04/30
PB - IJCSE, Indore, INDIA
SP - 835-840
IS - 4
VL - 7
SN - 2347-2693
ER -

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Abstract

One of the most popular renewable energy is solar energy due to its large availability. Major benefit of PV system for adopting solar energy is due to less maintenance cost, no moving parts and small limitations for installation. However, photovoltaic system has poor conversion efficiency as output performance of PV system is dependent on solar irradiation and temperature which are not consider as constant input source to system. The main objective is to extract maximum power from PV system Various techniques are to be used as mechanically as well as electrically to extract maximum power. Conventional Perturb and Observation (P&O), incremental conductance, adaptive Perturb and Observation, fuzzy logic based algorithm has implemented for extraction of maximum power. Boost converter is used for power interface as well as to step up the output voltage. Fuzzy logic based algorithms finds successful role to track maximum power even in rapidly changing climatic conditions. The proposed model has been implemented in MATLAB/Simulink and validated with experimental data of commercial PV panels.

Key-Words / Index Term

PV(photovoltaic) module, Mathematical Modeling, Maximum power extraction, Perturb & Observation, Incremental conductance, Adaptive Perturb and Observation, Fuzzy logic algorithm, Simulation.

References

[1] Trishan Esram, Patrick L. Chapman, “Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques”, IEEE Transaction on Energy conversion, 22(2), 439–449, 2007.
[2] Marcelo Gradella Villalva, Jonas Rafael Gazoli, Ernesto Ruppert Filho, “Comprehensive Approach to Modeling and Simulation of Photovoltaic Arrays”, IEEE Transaction On Power Electronics, 24(5), 1198–1208, MAY 2009.
[3] N. Pandiarajan, Ranganath Muthu, “Mathematical Modeling of Photovoltaic Module with Simulink”, 1st International conference on Electrical Energy Systems, March 2011.
[4] Javier Cubas, Santiago Pindado,Carlos de Manuel, “Explicit Expressions for Solar Panel Equivalent Circuit Parameters Based on Analytical Formulation and the Lambert W-Function”, 1st International e-Conference on Energies, 2014.
[5] Jaw-Kuen Shiau, Yu-Chen Wei and Bo-Chih Chen, “A Study on the Fuzzy-Logic-Based Solar Power MPPT Algorithms Using Different Fuzzy Input Variables”, April 2015.
[6] Md Tofae l Ahmed, Teresa Gonçalves, Mouhaydine Tlemcani, “Single Diode Model Parameters Analysis of Photovoltaic Cell”, IEEE 5th International Conference on Renewable Energy Research and Applications , Nov2016.
[7] H.A.Mohamed, H.A.Khattab, A.Mobarka, G.A.Morsy, “Design, Control and Performance Analysis of DC-DC Boost Converter for Stand-Alone PV System”, Eighteenth International Middle East Power Systems Conference (MEPCON), Dec 2016.
[8] Pooja Sahu, Deepak Verma, Dr.S Nema, “Physical Design and Modelling of Boost Converter for Maximum Power Point Tracking in Solar PV systems”, International Conference on Electrical Power and Energy Systems (ICEPES), Dec 2016.
[9] S Narendiran, Sarat Kumar Sahoo, Raja das, Ashwin Kumar Sahoo, “Fuzzy Logic Controller based Maximum Power Point Tracking for PV systems”,3rd International Conference on Electrical Energy Systems(ICEES)-2016.
[10] Maria C. Argyrou, Paul Christodoulides, Soteris A. Kalogirou, “Modeling of a photovoltaic system with different MPPT techniques using MATLAB/Simulink”, IEEE International Energy Conference(ENERGYCON), June 2018.