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Modeling and Performance Analysis of a Solar PV Power System Connected to a Three Phase Load Under Irradiation and Load Variations

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Modeling, Identification and Control Methods in Renewable Energy Systems

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Abstract

This chapter describes a stand-alone solar photovoltaic system with a robust controllers which are Incremental Conductance and Perturb and Observe used to enhance the maximum power point tracking and stable output power under variations of solar irradiation, temperature and electrical loads. Indeed, to supply an alternative load with a sinusoidal line without harmonic distortion under weather conditions, algorithms techniques are used to control a DC-DC boost converter to generate the Maximum Power Point of the photovoltaic generator to alternative load via a PWM (Pulse Width Modulation) three phase inverter. The computer simulation results, in Matlab/Simulink environment, presented in this chapter validate the full PV system components and show that the photovoltaic simulation system can track the maximum power point accurately using the two maximum power point tracking techniques.

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References

  • Alsadi, S., & Alsayid, B. (2012). Maximum power point tracking simulation for photovoltaic systems using perturb and observe algorithm. International Journal of Engineering and Innovative Technology (IJEIT), 2(6), 83.

    Google Scholar 

  • Bauer, J. (2010). Single phase voltage source inverter photovoltaic application. ActaPolytechnica, 50(4), 7–11.

    MathSciNet  Google Scholar 

  • Bellia, H., Youcef, R., & Fatima, M. (2014). A detailed modeling of photovoltaic module using MATLAB. NRIAG Journal of Astronomy and Geophysics, 3, 53–61.

    Article  Google Scholar 

  • Benadli, R., Khiari, B., & Sellami, A. (2015). Three-phase grid-connected photovoltaic system with maximum power point tracking technique based on voltage-oriented control and using sliding mode controller. In 6th International Renewable Energy Congress, USA.

    Google Scholar 

  • Benkhelil, E., & Gherbi, A. (2012). Modeling and simulation of grid-connected photovoltaic generation system. In Revue des Energies Renouvelables SIENR’12 Ghardaïa.

    Google Scholar 

  • Bratt, J. (2011). Grid connected PV inverters: Modeling and simulation. Thesis, Faculty of San Diego State University.

    Google Scholar 

  • Ferchichi, M., Zaidi, N., & Khedher, A. (2016). Comparative analysis for various control strategies based MPPT technique of photovoltaic system using DC-DC boost converter. In 17th International Conf. on Sciences and Techniques of Automatic control & computer engineering, STA’2016, Sousse, Tunisia.

    Google Scholar 

  • Freeman, D. (2010). Introduction to photovoltaic systems maximum power point tracking. Application Report, SLVA 446. Texas Instruments.

    Google Scholar 

  • Hohm, D. P., & Ropp, M. E. (2000). Comparative study of maximum power point tracking algorithms using an experimental, programmable, maximum power point tracking test bed. In Conference Record of the Twenty-Eighth IEEE Photovoltaic Specialists (pp. 1699–1702), Anchorage, Alaska.

    Google Scholar 

  • Jiang, J., Huang, T., Hsiao, Y., & Chen, C. (2005). Maximum power tracking for photovoltaic power systems. Tamkang Journal of Science and Engineering, 8(2), 147–153.

    Google Scholar 

  • Kinjal, P., Shah, K. B., & Patel, G. R. (2015). Comparative Analysis of P&O and INC MPPT Algorithm for PV System. In International Conference on Electrical, Electronics, Signals, Communication and Optimization (EESCO), Visakhapatnam, Andhrapradesh, India.

    Google Scholar 

  • Makhlouf, M., Messai, F., & Benalla, H. (2012). Modeling and simulation of grid-connected photovoltaic distributed generation system. Journal of Theoretical and Applied Information Technology, 45(2), 378–386.

    Google Scholar 

  • Mohssine, H., Kourchi, M., Bouhouch, H., & Debbagh, F. (2015). Perturb and observe (P&O) and incremental conductance (INC) MPPT algorithms for PV panels. International Journal of Soft Computing and Engineering, 5(2), 123–126.

    Google Scholar 

  • Nemsi, S., Barazane, L., Diaf, S., & Malek, A. (2013). Comparative study between two maximum power point tracking (MPPT) techniques for photovoltaic system. Revue des Energies Renouvelables, 16(4), 773–782.

    Google Scholar 

  • Nordin, A., Omar, A., & Zainuddin, H. (2014). Modeling and simulation of grid inverter in grid-connected photovoltaic system. International Journal of renewable energy research, 4(4), 949–957.

    Google Scholar 

  • Sera, D., Kerekes, T., Teodorescu, R., & Blaabjerg, F. (2006a). Improved MPPT algorithms for rapidly changing environmental conditions. In 12th International Conference on Power Electronics and Motion Control EPE-PEMC, USA.

    Google Scholar 

  • Sera, D., Kerekes, T., Teodorescu, R., & Blaabjerg, F. (2006b). Improved MPPT algorithms for rapidly changing environmental conditions. In 12th International Conference on Power Electronics and Motion Control EPE-PEMC, USA.

    Google Scholar 

  • Suryakumari, J., Sahiti, G., & Sudhakar, G. (2013). Analysis and simulation of perturb and observe MPPT technique. International Journal of Engineering Research and Applications (IJERA), 3(4), 1662–1668.

    Google Scholar 

  • Tahiri, F. E., Chikh, K., Khafallah, M., & Saad, A. (2016). Comparative study between two Maximum Power Point Tracking techniques for Photovoltaic System. In 2nd International Conference on Electrical and Information Technologies ICEIT, Tangier, Morocco.

    Google Scholar 

  • Tahiri, F. E., Chikh, K., Khafallah, M., Saad, A., & Breuil, D. (2017). Modeling and performance analysis of a solar PV power system under irradiation and load variations. In 13th International Multi-conference on Systems, Signals and Devices SSD, Marrakech, Morocco.

    Google Scholar 

  • Villalva, M. G., Gazoli, J. R., & Ruppert, E. (2009). Modeling and circuit-based simulation of photovoltaic arrays. Brazilian Journal of Power Electronics, 14(1), 35–45.

    Google Scholar 

  • Walker, G. (2000). Evaluating MPPT converter topologies using a Matab PV model. In Innovation for Secure Power (pp. 138–143). Brisbane: Queensland University of Technology.

    Google Scholar 

  • Yadav, P., Bhargava, A., & Sharma, M. (2016). MPPT using soft computing technique with MLI in photovoltaic system. In International Conference on Micro-Electronics and Telecommunication Engineering, Ghaziabad, Uttarpradesh, India, IEEE.

    Google Scholar 

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Correspondence to Fatima-Ezzahra Tahiri .

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Tahiri, FE., Chikh, K., Khafallah, M. (2019). Modeling and Performance Analysis of a Solar PV Power System Connected to a Three Phase Load Under Irradiation and Load Variations. In: Derbel, N., Zhu, Q. (eds) Modeling, Identification and Control Methods in Renewable Energy Systems. Green Energy and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-13-1945-7_1

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  • DOI: https://doi.org/10.1007/978-981-13-1945-7_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1944-0

  • Online ISBN: 978-981-13-1945-7

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