AUTHORS: Salama Othmane, Mohamed Benchagra, Abdelmoumen Tabyaoui
Download as PDF
ABSTRACT: Due to nonlinear I V characteristics of photovoltaic cells, a maximum power point tracking algorithm is adopted to maximize the output power. In this paper, an approach for peak power tracking using the nonlinear controllers (Sliding mode and fuzzy logic) is proposed. These controllers are Compared with the conventional duty cycle of perturb and observe (P&O) control method, they can track the maximum power point quickly and accurately. Matlab simulink is used for simulation, analysis and interpretation the results of these controllers. A boost converter has been used to control the solar cell output voltage.
KEYWORDS: Photovoltaic, MPPT, Boost converter, Nonlinear Control, Sliding mode control, Fuzzy logic, Perturb and Observe.
REFERENCES:
[1] M. Hosenuzzaman, N. A. Rahim, J. Selvaraj, M. Hasanuzzaman Factors affecting the PV based power generation, 3rd IET International Conference on Clean Energy and Technology (CEAT), 2014, pp. 1
[2] A. P. Bhatnagar, B. R. K. Nema, Conventional and global maximum power point tracking techniques in photovoltaic applications: A review J. Renew. Sustainable Energy 5, 032701, 2013, pp. 1 23.
[3] A.Bouchakour, A.Borni, H.M. Idriss, L.Zaghba, F.Amor, M.Brahami A comparative and analytical study of various MPPT techniques applied in PV systems for fast changing environmental conditions, 3rd International Renewable and Sustainable Energy Conference (IRSEC), 2015, pp. 1 – 6.
[4] X. Li, H. Wen, Y. Hu, Evaluation of different maximum power point tracking (MPPT) techniques based on practical meteorological data, IEEE International Conference on Renewable Energy Research and Applications (ICRERA), 2016, pp:696 701.
[5] S. Kalika, L. Rajaji, S. Gupta, Designing and implementation of MPPT controller for varying radiance in solar PV system, IET Chennai 3rd International on Sustainable Energy and Intelligent Systems (SEISCON), 2012, pp: 1 – 5.
[6] S. Shongwe; M. Hanif, Comparative Analysis of Different Single Diode PV Modeling Methods, IEEE Journal of Photovoltaics, vol.5, issue: 3, 2015, pp: 938 – 946.
[7] Y. Mahmoud; W. Xiao; H. H. Zeineldin, A Simple Approach to Modeling and Simulation of Photovoltaic Modules, IEEE Transactions on Sustainable Energy vol.3, issue:1, 2012 ,pp: 185 – 186.
[8] R. Keshri, M. Bertoluzzo, G. Buja, Integration of a Photovoltaic panel with an electric city car, Electric Power Components and Systems, vol.42, issue:5, 2014, pp: 481 495.
[9] N. Ghaffarzadeh; S. Bijani, Dual surface sliding mode controller for photovoltaic systems enhanced by a ripple domain search maximum power point tracking algorithm for fast changing environmental conditions, IET Renewable Power Generation vol.10, issue:5, 2016 , pp: 611 – 622.
[10] E. Mamarelis, G. Petrone, G. Spagnuolo, Design of a Sliding Mode Controlled SEPIC for PV MPPT Applications, IEEE Transactions on Industrial Electronics, vol.61, issue:7, 2014 , pp: 3387 – 3398.
[11] S. Sujith; N. Kathiravan, Comparison of fuzzy logic based MPPT with P & O for solar PV pumping system, International Conference on Emerging Technological Trends (ICETT) , 2016 , pp: 1 7.
[12] R.B. Roy, E. Basher, R.Yasmin, Md. Rokonuzzaman, Fuzzy logic based MPPT approach in a grid connected photovoltaic system, The 8th International Conference on Software, Knowledge, Information Management and Applications (SKIMA), 2014 , pp:1 6.
[13] T. Wu; C. Chang, Y. Chen, A fuzzy logic controlled single stage converter for PV powered lighting system applications, IEEE Transactions on Industrial Electronics, vol:47, issue:2, 2000 , pp:287 296.
[14] D. Sera, L. Mathe, T. Kerekes, S.V. Spataru, R.Teodorescu, On the Perturb and Observe and Incremental Conductance MPPT Methods for PV Systems, IEEE Journal of Photovoltaics, vol:3, issue: 3, 2013 , pp:1070 1078.
[15] R.M. Linus, P. Damodharan, Maximum power point tracking method using a modified perturb and observe algorithm for grid connected wind energy conversion systems, IET Renewable Power Generation, vol:9, issue:6, 2015 , pp:682 289.
