Evaluating the Performance and Efficiency of MPPT Algorithm For PV Systems
About this article
Abstract
Solar photovoltaic (PV) systems have an advantage of conversion sun's energy to electrical energy without regulation and lower efficiency due to I-V nonlinear characteristics that exhibits in the PV cells. Essentially, There is a need to maximize power extraction from these cells with a maximum power point tracking (MPPT) techniques. The performance of MPPT Algorithm involves a presentation of the PV system model with a most suitable method, Perturbation and Observation (P&O). The P&O implementation is done by MATLAB simulating, which covers a PV cell connected to a controlled buck converter by MPPT algorithms. The achievement of the P&O algorithm with a higher efficiency as well as be able to fast MPP tracking at the Constant irradiation condition as well as with variable irradiation.
Â
Â
Keywords
- PV system
- Maximum Power Point Tracking (MPPT)
- Perturb and Observe (P&
- O) Algorithm.
References
[1] L. Atik, , P. Petit, J. P. Sawicki, Z. T. Ternifi, G. Bachir,"Comparison of four MPPT techniques for PV systems", AIP Conference Proceedings 1758, 030047 (2016); doi: 10.1063/1.4959443.
[2] D. Verman, S. Nela, A.M. Shandilya, Soubhagya, K. Dash ‘ Maximum power point tracking (MPPT) techniques: Recapitulation in solar photovoltaic systems’ ELSEVIER, Renewable and Sustainable Energy Reviews, February 2016, Volume 54, Pages 1018-1034.
[3] M Seyedmahmoudian , B Horan, R. Rahmani, A. Maung, Efficient Photovoltaic System Maximum Power Point Tracking Using a New Technique, Energies 2016, 9, 147; doi:10.3390/en9030147
[4] Tobón, J. Peláez-Restrepo, Juan P. Villegas-Ceballos, S. Serna-Garcés, Maximum Power Point Tracking of Photovoltaic Panels by Using Improved Pattern Search Methods Energies 2017, 10, 1316; doi:10.3390/en10091316.
[5] J. Abid1, F. M. Al-Naima, and Adnan H. Ali, Comprehensive Modeling of Photovoltaic Array based on Proteus Software, IJAER (2018), Volume 13, Number 6 pp. 4440-4447.
[6] H. Islam, S. Mekhilef, N. Binti Mohamed Shah, T.K. Soon, M. Seyedmahmousian, Performance Evaluation of Maximum Power Point Tracking Approaches and Photovoltaic Systems, Energies 2018, 11, 365; doi:10.3390/en11020365.
[7] Karami, N.; Moubayed, N.; Outbib, R. General review and classification of different (MPPT) Techniques. Renew. Sustain. Energy Rev. 2017, 68, 1–18.
[8] Seyedmahmoudian, M.; Horan, B.; Soon, T.K.; Rahmani, R.; Oo, A.M.T.; Mekhilef, S.; Stojcevski, A. State of the art artificial intelligence-based MPPT techniques for mitigating partial shading effects on PV systems, A review. Renew. Sustain. Energy Rev. 2016, 64, 435–455.
[9] Soon, T.K.; Mekhilef, S. A fast-converging MPPT technique for photovoltaic system under fast-varying solar irradiation and load resistance. IEEE Trans. Ind. Inform. 2015, 11, 176–186.
[10] Deshpande, A.; Patil, S.; Deopare, H. Comparative simulation of conventional maximum power point tracking methods. In Proceedings of the 2016 International Conference on Computing, Communication and Automation (ICCCA), Noida, India, 29–30 April 2016; pp. 1025–1028.
[11] Kollimalla, S.K.; Mishra, M.K. A novel adaptive P&O MPPT algorithm considering sudden changes in the irradiance. IEEE Trans. Energy Convers. 2014, 29, 602–610.
[12] [12] Saravanan, S.; Babu, N.R. Performance analysis of boost & Cuk converter in MPPT based PV system. In Proceedings of the 2015 International Conference on Circuit, Power and Computing Technologies (ICCPCT), Nagercoil, India, 19–20 March 2015; pp. 1–6.