Highly Efficient Maximum Power Point Tracking Control Technique for PV System Using Different Controller and Converter with Modular Multilevel Inverter


  • Pavithra C Sri Krishna College of Engineering and Technology
  • Partha Sarathy R Sri Krishna College of Engineering and Technology
  • Palanivelrajan M P Sri Krishna College of Engineering and Technology
  • Ladika S Sri Krishna College of Engineering and Technology
  • Prijith Nagaraj R K Sri Krishna College of Engineering and Technology




MPPT algorithm, FLC, M21, output boosting, PID controller, Septic converter, Pi controller, Luo converter, MATLAB, Simulink, PV system, renewable energy


In order to operate photovoltaic (PV) systems using maximum power point tracking (MPPT), three distinct combinations of controllers and converters are proposed in this research and compared. Using MATLAB/Simulink simulation, these strategies are assessed based on the output parameters of time, power, and current. The demand on power production has increased manifold in recent years and on the other hand, the conventional resources utilized for it will be vanished in near future. The requirement of PV based generation is getting increased.  The procedure of getting solar energy from a solar panel is common. With MPPT, here the output obtained must be the same quantity of energy even when the source of that energy is partially available. Climate change and other issues could be to blame for this inefficiency.  In this project three distinct converters and three distinct controllers have been compared. All three converters are linked to each controller individually, and measurements of current, voltage, and power are analysed. By which the result is obtained. After the comparison of nine outputs, the most powerful and efficient combination is identified. By doing this, the converters and controllers produce high D.C voltage. Direct voltage transmission to the MMI. A.C. voltage is created by converting D.C. voltage. Increase the MMI's output by doing this. The voltage generated by the MMI is sent to the grid for domestic usage. Even when the source is not readily available, the solar panel's voltage can still be used.


Download data is not yet available.


Vijay K. Sood, Haytham Abdel Gawad. Power converter solutions and controls for green energy: 2019. DOI: https://doi.org/10.1016/B978-0-12-817774-7.00014-4

Albertjr, V Anaja DS, Solar Energy assessment in various regions of Indian sub-continent. Solar Cells: 2020.

Shanmugam Vanaja D, Stonier. Grid integration of modular multilevel inverter with improved performance parameters: 2021. DOI: https://doi.org/10.1002/2050-7038.12667

Alhaji. F, El-Naggar KM, M. R. al Rashidi, A. K. al Othman, Renew Optimal percentage of artillery stimulates for one-star limits applying pattern energy. 2012; 44: 238–45. DOI: https://doi.org/10.1016/j.renene.2012.01.082

Zegaoui M, Allery P, Petit JP, Sawicki JP, Charles AW, BE Larbi. Dynamic behaviour of PV engine converting energy trackers under dissemination and heat changes Solar Energy. 2011; 85; 2953– 2964. DOI: https://doi.org/10.1016/j.solener.2011.08.038

Narendra, Sarat Kumar Sahoo, Raja Das. Fuzzy Logic Controller based Maximum power point tracking for PV system; 2016. DOI: https://doi.org/10.1109/ICEES.2016.7510590

Radjai, Tawfik, Rahmani, Lasher, Mekhilef Saad,etal. Implementation of a modified incremental conductance MPPT algorithm with direct control based on a fuzzy duty cycle change estimator using space. Solar Energy. 2014; 110; 325-33. DOI: https://doi.org/10.1016/j.solener.2014.09.014

Agyekum, E.B., Techno-economic comparative analysis of solar photovoltaic power systems with and without storage systems in three different climatic regions, Ghana. sustain. energy technol. Assess; 43, 100906. DOI: https://doi.org/10.1016/j.seta.2020.100906

Ahmed, M.M., Hassanien, WS., Enany, MA. Modelling and Evaluation of SC MPPT controllers for PVWPS based on dc motor. Energy. 2021; 76044– 6053. DOI: https://doi.org/10.1016/j.egyr.2021.09.055

Anani N, Ibrahim H. Adjusting the single-diode model parameters of a photovoltaic module with irradiance and temperature. Energies .2020; 13 (12); 3226. DOI: https://doi.org/10.3390/en13123226

Vazquez S and Franquelo IG. Multilevel converters: control and modulation techniques for their operation and industrial applications. Proceedings of the IEEE. 2017; 105 (11); 2066- 2081. DOI: https://doi.org/10.1109/JPROC.2017.2726583

Albert Alexander Stonier, fuzzy logic control for solar PV fed modular multilevel inverter towards marine water pumping applications. Proceedings of the IEEE.2021; 9. DOI: https://doi.org/10.1109/ACCESS.2021.3090254

C. Pavithra, 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.

C. Pavithra, Pooja Singh B, Venkatesa Prabhu Sundramurthy. A brief overview of maximum power point tracking algorithm for solar PV system. Materials Today Proceedings.

A.stonier S, Murugesan R, Samikannu SK. venkata chary, s. s. kumar, and p. Arumugam. Power Quality Improvement in Solar Fed Cascaded Multilevel Inverter with Output Voltage Regulation Techniques. IEEE Access. 2020; 8; 178360–178371. DOI: https://doi.org/10.1109/ACCESS.2020.3027784




How to Cite

C P, R PS, M P P, S L, R K PN. Highly Efficient Maximum Power Point Tracking Control Technique for PV System Using Different Controller and Converter with Modular Multilevel Inverter. EAI Endorsed Trans Energy Web [Internet]. 2024 Feb. 27 [cited 2024 Apr. 21];11. Available from: https://publications.eai.eu/index.php/ew/article/view/5216