Comparison of Solar P&O and FLC-based MPPT Controllers & Analysis under Dynamic Conditions

Authors

  • C Pavithra Sri Krishna College of Engineering and Technology
  • Vidhyareni S Sri Krishna College of Engineering and Technology
  • Vijayadharshini M Sri Krishna College of Engineering and Technology
  • Shree Akshaya K B Sri Krishna College of Engineering and Technology
  • Varsha N Sri Krishna College of Engineering and Technology

DOI:

https://doi.org/10.4108/ew.4988

Keywords:

Solar PV, MPPT, P&O, FLC, Simulink

Abstract

Increase in electricity generation is caused due to population increase, which leads to the depletion of fossil fuels, and increased pollution. This leads to focusing on alternate renewable energy, mainly solar photovoltaic generation, due to the abundant availability. The maximum power generated by a PV module depends on the temperature and irradiance because the P-V and V-I natures are non-linear. Various DC-DC boost converters are used along with the MPPT techniques because the conversion efficiency of the PV system is low [1][2]. In this paper, comparative analysis between Perturb and Observe (P&O) and Fuzzy Logic-based Maximum Power Point Tracking (MPPT) systems along with modified SEPIC are done using MATLAB/ SIMULINK software. Simulations are done at different irradiations to observe its tracking speed towards MPP. From the obtained output (simulation), it is observed that the Fuzzy Logic Converter (FLC)-based MPPT controllers have good dynamic performance, reduced oscillation, high tracking speed, maximum power, etc...[3].

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References

Yuvarajan S, Shoeb J. A fast and accurate maximum power point tracker for PV systems. APECE. 2008; 167–172. DOI: https://doi.org/10.1109/APEC.2008.4522717

Nguyen, Lehman D Y. A Reconfigurable Solar Photovoltaic Array Under Shadow Conditions. APECE. 2008; 980-986.

Sergio Daher, Jurgen Schmid, and Fernando L.M Antunes. Multilevel Inverter Topologies for Stand-Alone PV Systems. IEEE Transactions on IE. 2008; 55 (7); 2703-2712. DOI: https://doi.org/10.1109/TIE.2008.922601

Vidhya K, Ghani A, Zhou E. Modelling and simulation of maximum power point tracking algorithms and review of MPPT techniques for PV applications. ICEDSA. 2016; 1–5.

Nandurkar SR, Mini Rajeev. Modelling simulation & design of photovoltaic array with MPPT control techniques. IJAPE. 2014; 3(1); 41–50.

Pavithra C, Geethamani R, Radhakrishnan G, Kishore Kumar S, and Manoj C. A Novel Grid Integrated Perturb and Observe MPPT Controlled Photovoltaic Power Plant for Power Enhancement. JCTN. 2019; 16 (2); 410-416. DOI: https://doi.org/10.1166/jctn.2019.7741

Huynh D, Dunnigan M. Maximum power point tracking using an adaptive perturbation and observation algorithm for a grid-connected solar photovoltaic system. IJGDC. 2015; 8(3); 97–110. DOI: https://doi.org/10.14257/ijgdc.2015.8.3.10

Babaa SE, Matthew Armstrong, Volker Pickert. Overview of maximum power point tracking control methods for PV systems. JPEE. 2014; 59–72. DOI: https://doi.org/10.4236/jpee.2014.28006

Nicola Femia, Giovanni Petrone, Giovanni Spagnuolo and Massimo Vitelli. Optimization of Perturb and Observe Maximum Power point Tracking Method. IEEE Transaction on PE. 2005; 20; 963-973. DOI: https://doi.org/10.1109/TPEL.2005.850975

Pavithra C, Pooja Singh B, Venkatesa Prabhu S. A brief overview of maximum power point tracking algorithm for solar PV system. Materials Today: Proceedings. 2021 DOI: https://doi.org/10.1016/j.matpr.2021.01.220

Villalva M. G, Gazoli J. R and Ruppert E. A Comprehensive Approach to Modelling and Simulation of Photovoltaic Array. IEEE Transaction of Power Electronics. 2009; 25;1198-1208. DOI: https://doi.org/10.1109/TPEL.2009.2013862

Trishan Esram, Patrick L. chapman: Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques. IEEE Transaction on Power Electronics. 2007; 22; 439-449. DOI: https://doi.org/10.1109/TEC.2006.874230

Tofoli F L, Pereira D C, Paula W J. Comparative study of maximum power point tracking techniques for photovoltaic systems. International Transactions on Sustainable Energy. 2015; 4; 89-98. DOI: https://doi.org/10.1109/TSTE.2012.2202294

Pavithra C, Geethamani R. A Noval Improved Variable Step-Size Incremental Resistance MPPT Controller for PV System Under Partial Shading Condition. JCTN. 2019; 16; 740- 744. DOI: https://doi.org/10.1166/jctn.2019.7801

Suryoatmojo H, Dilianto I, Mardiyanto R, Setijadi E, and Riawan D C. Design and analysis of high gain modified SEPIC converter for photovoltaic applications. ICIRD. 2018; 1–6. DOI: https://doi.org/10.1109/ICIRD.2018.8376319

Cao Y, Samavatian V, Kaskani K, and Eshraghi H. A novel non-isolated ultra-high-voltage-gain DC–DC converter with low voltage stress. IEEE Transactions on Industrial Electronics. 2016; 2809–2819. DOI: https://doi.org/10.1109/TIE.2016.2632681

Sakthivel C, Selvakumar K, and Venkatesan T. Modified SEPIC converter with high static gain for renewable energy applications. JCTA. 2019; 865–873.

Kondawar, Sangita S., and Vaidya U B. A comparison of two MPPT techniques for PV system in Matlab Simulink. IJERD. 2012; 73-79.

Chouder A, Guijoan F, and Silvestre S. Simulation of fuzzy-based MPP tracker and performance comparison with perturb & observe method. JRE. 2008; 11; 577-586.

Abdullah M Noman, Khaled E Addoweesh and Hussein M Mashaly. A fuzzy logic control method for MPPT of PV systems. IECON. 2012. DOI: https://doi.org/10.1109/IECON.2012.6389174

Raihan S. Jumaah. Implementation of Perturb and Observe MPPT of PV system with direct control method using buck and buck-boost converters. JETEEIE. 2014; 1; 31-44.

Karthika S, Velayutham K, Rathika P, Devaraj D. Fuzzy Logic Based Maximum Power Point Tracking Designed for 10kW Solar Photovoltaic System with Different Membership Functions. IJECECE. 2014; 8;1022-1027.

Bogaraj T, Kanagaraj J, and Shalini E. Fuzzy logic based MPPT for solar PV applications. IJIR. 2014; 1566-1571.

Manna S and Akella A K. Comparative analysis of various P & O MPPT algorithm for PV system under varying radiation condition. ICPEE. 2021. DOI: https://doi.org/10.1109/ICPEE50452.2021.9358690

Dutta R and Gupta R P. Performance analysis of MPPT based PV system: A case study. ICEFEET. 2022. DOI: https://doi.org/10.1109/ICEFEET51821.2022.9847729

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Published

31-01-2024

How to Cite

1.
Pavithra C, S V, M V, K B SA, N V. Comparison of Solar P&O and FLC-based MPPT Controllers & Analysis under Dynamic Conditions. EAI Endorsed Trans Energy Web [Internet]. 2024 Jan. 31 [cited 2024 Apr. 28];11. Available from: https://publications.eai.eu/index.php/ew/article/view/4988