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Comparitive Analysis of a MPPT Control Techniques

K V Subbarao K J V S Pavan Kalyan

Subject area: Science,Engineering and Technology  ·  Area of research: Power Electronics

Abstract

Solar energy, it is a clean energy source in the universe. It is essential to define and monitor the maximum power point in PV arrays. Every technique in this technique has its own set of benefits and drawbacks. PV energy is one of the most significant energy sources because it is both pure and infinite. To optimize the output energy of PV arrays, PV energy conversion systems must be operated at their full power point (MPP). To get the most power out of the PV arrays, MPPT control is needed. Many methods for monitoring the maximum power point have been suggested in recent years. This paper compares various MPPT approaches and recommends one that uses a power estimator, as well as evaluating their suitability for systems that operate under a variety of conditions. The incremental conductance (IncCond), perturbation and observation (P&O), and ripple correlation (RC) algorithms, which have been extensively studied, are suitable and realistic. The simulation results of a single-phase NPC grid-connected PV system using the methods are presented to demonstrate the scheme's and algorithms' effectiveness. The results of simulations show that the various MPPTs and the proposed algorithm work correctly.

Keywords

MPP, MPPT, NPC

References

[1] A. Dolara, R. Faranda, and S. Leva, “Energy comparison of Seven MPPT techniques for PV systems,” Journal of Electromagnetic Analysis and Applications, vol. 1, no. 3, pp. 152–162, 2009.

[2] M. A. Elgendy, B. Zahawi, and D. J. Atkinson, “Assessment of perturb and observe MPPT algorithm implementation techniques. for PV pumping applications,” IEEE Transactions on Sustainable Energy, vol. 3, no. 1, pp. 21–33, 2012.

[3] H. Kumar and R. K. Tripathi, “Simulation of variable incremental conductance method with direct control method using. boost converter,” in Proceedings of the Students Conference on Engineering and Systems (SCES ’12), pp. 1–5, Allahabad, India, March 2012.

[4] D. Casadei, G. Grandi, and C. Rossi, “Single-phase single-stage photovoltaic generation system based on a ripple correlation control maximum power point tracking,” IEEE Transactions on Energy Conversion, vol. 21, no. 2, pp. 562–568, 2006.

[5] A. Reza Reisi, M. Hassan Moradi, and S. Jamasb, “Classification and comparison of maximum power point tracking techniques for photovoltaic system: a review,” Renewable and Sustainable Energy Reviews, vol. 19, pp. 433–443, 2013.

[6] M. A. Elgendy, B. Zahawi, and D. J. Atkinson, “Assessment of perturb and observe MPPT algorithm implementation techniques for PV pumping applications,” IEEE Transactions on Sustainable Energy, vol. 3, no. 1, pp. 21–33, 2012.

[7] H. Malek and Y. Chen, “BICO MPPT: a faster maximum power point tracker and its application for photovoltaic panels,” International Journal of Photoenergy, vol. 2014, Article ID 586503, 9 pages, 2014.

How to cite this paper

K V Subbarao, K J V S Pavan Kalyan "Comparitive Analysis of a MPPT Control Techniques" Iconic Research And Engineering Journals Volume 4 Issue 11 2021 Page 163-167
K V Subbarao, K J V S Pavan Kalyan "Comparitive Analysis of a MPPT Control Techniques" Iconic Research And Engineering Journals, vol. 4, no. 11, May. 2021
K V Subbarao, K J V S Pavan Kalyan (2021). Comparitive Analysis of a MPPT Control Techniques. Iconic Research And Engineering Journals, 4(11).
K V Subbarao, K J V S Pavan Kalyan "Comparitive Analysis of a MPPT Control Techniques" Iconic Research And Engineering Journals, vol. 4, no. 11, May. 2021.
@article{1702724,
      author = {K V Subbarao, K J V S Pavan Kalyan},
      title = {Comparitive Analysis of a MPPT Control Techniques},
      journal = {Iconic Research And Engineering Journals},
      year = {2021},
      volume = {4},
      number = {11},
      pages = {163-167},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1702724.pdf},
      abstract = {Solar energy, it is a clean energy source in the universe. It is essential to define and monitor the maximum power point in PV arrays. Every technique in this technique has its own set of benefits and drawbacks. PV energy is one of the most significant energy sources because it is both pure and infinite. To optimize the output energy of PV arrays, PV energy conversion systems must be operated at their full power point (MPP). To get the most power out of the PV arrays, MPPT control is needed. Many methods for monitoring the maximum power point have been suggested in recent years. This paper compares various MPPT approaches and recommends one that uses a power estimator, as well as evaluating their suitability for systems that operate under a variety of conditions. The incremental conductance (IncCond), perturbation and observation (P&O), and ripple correlation (RC) algorithms, which have been extensively studied, are suitable and realistic. The simulation results of a single-phase NPC grid-connected PV system using the methods are presented to demonstrate the scheme's and algorithms' effectiveness. The results of simulations show that the various MPPTs and the proposed algorithm work correctly.},
      keywords = {MPP, MPPT, NPC},
      month = {May},
  }