Research Article |
Modelling and Simulation of MPPT Based Solar Photovoltaic System for Voltage Lift LUO Converter
Author(s): S. Vijai Ananth 1*, S. Singaravelu2
Published In : International Journal of Electrical and Electronics Research (IJEER) Volume 11, Issue 1,
Publisher : FOREX Publication
Published : 20 February 2023
e-ISSN : 2347-470X
Page(s) : 90-96
Abstract
Several maximum PowerPoint tracking techniques have been proposed to achieve optimal matching between solar photovoltaic arrays to load for extracting maximum available power from photovoltaic source. These techniques differ in terms of tracking speed, complexity, cost, accuracy of tracking, number of sensors used etc., This article proposes an Adaptive Neuro Fuzzy-Inference System (ANFIS) based maximum PowerPoint tracking for positive-output voltage lift LUO converter based on solar (PV)system for resistant load application. Performance analysis of proposed (MPPT) technique has been evaluated in MATLAB/Simulink environment for four different cases of input radiation and temperature patterns. These test input patterns have been chosen based on European standard EC50530.Simulation results revealed that proposed ANFIS maximum PowerPoint tracking technique effectively captures the maximum PowerPoint in a faster way with good accuracy under both steady state and dynamic climatical conditions. Moreover, a comparative study has been presented between conventional (P & O) -technique and proposed ANFIS MPPT technique. Comparative study reveals that ANFIS MPPT technique has higher tracking efficiency with lesser tracking time without any oscillation around maximum power point.
Keywords: ANFIS
, LUO converter
, MATLAB/Simulink
, MPPT
, PV array
S. Vijai Ananth*, Research Scholar, Department of Electrical and Electronics Engineering, Annamalai University, Tamilnadu, India; Email: vijaisva@gmail.com
S. Singaravelu, Professor, Department of Electrical and Electronics Engineering, Annamalai University, Tamilnadu, India; Email: ganapss@yahoo.com
-
[1] Reza Dowlatabadi, Mohammad Monfared & Saeed Golestan, 'Modelling and Controller Design for a Non-inverting Buck-Boost Chopper’, IEEE, International Conference on Electrical Engineering and Informatics, Vol.5, pp. 1-4, 2011. [Cross Ref]
-
[2] Pallavee Bhatnagar, A & Nema, BRK, 'Conventional and global maximum power point tracking techniques in photovoltaic applications: A review', Journal of Renewable and Sustainable Energy, vol. 5, pp. 032701-1- 032721, 2013. [Cross Ref]
-
[3] Subudhi, B & Pradhan, R, 'A comparative study on maximum power point tracking techniques for photovoltaic power systems',IEEE Transactions on Sustainable Energy, vol. 4, pp. 89-98,2013. [Cross Ref]
-
[4] Mohamed Saleem Abdul Kareem & Manimaran Saravanan, ‘A new method for accurate estimation of PV module parameters and extraction of maximum power point under varying environmental conditions’, Turkish Journal of Electrical Engineering & Computer Sciences, vol. 24, pp. 2028-2041,2016. [Cross Ref]
-
[5] Nagulapati Kiran, ‘Control of chaos in positive output luo converter by means of time delay feedback’, International Electrical Engineering Journal (IEEJ), vol. 6, pp. 1787-1791, 2015.
-
[6] Selman & Nasir Hussein, 'Comparison between perturb & observe, incremental conductance and fuzzy logic MPPT techniques at different weather conditions', International Journal of Innovative Research in Science, Engineering and Technology, vol. 5, pp. 12556-69,2016. [Cross Ref]
-
[7] Tarek Boutabba, Said Drid & Mohamed Benbouzid, 'Maximum power point tracking control for photovoltaic system using adaptive neuro-fuzzy-ANFIS’, IEEE, Eighth International Conference and Exhibition on Ecological Vehicles and Renewable Energies (EVER), vol.6, pp. 1-7,2013. [Cross Ref]
-
[8] Khosrojerdi, F, Taheri, S & Cretu, A, ’An adaptive neuro-fuzzy inference system-based MPPT controller for photovoltaic arrays’, IEEE Electrical Power and Energy Conference (EPEC), vol.8, pp. 1-6,2016. [Cross Ref]
-
[9] Iqbal, A, Abu-Rub, H & Ahmed, SM, ‘Adaptive neuro-fuzzy inference system based maximum power point tracking of a solar PV module, In 2010 IEEE International Energy Conference and Exhibition, vol.8, pp. 51-56,2010. [Cross Ref]
-
[10] Amir Gheibi, S. Mohammad Ali Mohammadi, Malihe M. Farsangi, “comparing performance of PID and fuzzy controllers in the present of noise for a Photovoltaic System” Journal of mathematics and computer science, vol.9, pp. 69-76,2014. [Cross Ref]
-
[11] Khanam, Jobeda & Simon Y Foo, ‘Neural networks technique for maximum power point tracking of photovoltaic array’, IEEE, Southeast Conference, St. Petersburg, FL, vol.7, pp. 1-4,2018. [Cross Ref]
-
[12] Ritesh Dash, S.M Ali, “Comparative Study of One and Two Diode Model of Solar Photovoltaic Cell” IJRET: International Journal of Research in Engineering and Technology, vol.5, eISSN: 2319-1163 pISSN: 2321-7308, 2013. [Cross Ref]
-
[13] Huque, MA, Steven Coley & Thomas S Key, ‘Evaluating dynamic maximum power point tracking with variable solar irradiance’, IEEE 39th Photovoltaic Specialists Conference (PVSC) PART 2, vol.4, pp. 068-075, 2013. [Cross Ref]
-
[14] Shafaati Shemami M, Saad Alam M, Jamil Asghar M S and Shariff S M, "Adaptive Neuro-Fuzzy Inference System (ANFIS) for Optimization of Solar Based Electric Vehicle-to-Home (V2H) Fuzzy Inference System FIS Controller," 2019 IEEE Transportation Electrification Conference and Expo (ITEC), vol.2, pp. 1-6,2019. [Cross Ref]
-
[15] Zaghba L, "An enhancement of grid connected PV system performance based on ANFIS MPPT control and dual axis solar tracking," 2019,IEEE, 1st International Conference on Sustainable Renewable Energy Systems and Applications (ICSRESA), vol.2, pp. 1-6,2019. [Cross Ref]
-
[16] Zakri A A, Mustafa M W and Tribowo I, "ANFIS Design Based on Prediction Models for The Photovoltaic System," 2019 International Conference on Sustainable Information Engineering and Technology (SIET), vol.5, pp. 234-239,2019. [Cross Ref]
-
[17] Himabindu Eluri,M.Gopichand Naik,”Energy Management System And Enhancement Power Quality With Grid Integrated Micro-Grid Using FuzzyLogic Controller”,International Journal Of Electrical And Electronics Research (IJEER),Vol.10,Pp.256-263,2022. [Cross Ref]
-
[18] M Rupesh, Dr. Ts. Vishwanath, “FUZZY And ANFIS Controller to Improve the Power Quality of Grid Connected PV System with Cascaded Multilevel Inverter”, 2022 International Journal of Electrical and Electronics Research (IJEER), vol.9, pp.89-95,2022. [Cross Ref]
-
[19] T.S. Saravanan, K. A. Indu Sailaja, P. Marish Kumar, G. Merlin Suba and K. Palanivel Rajan (2022), Modelling and Analysis of Non-ideal Two stage Lift Luo Converter with Positive Output. IJEER 10(4), 1115-1120. DOI: 10.37391/IJEER.100457. [Cross Ref]