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Optimization of PV Panel Using P&O and Incremental Conductance Algorithms for Desalination Mobile Unit

  • Bachar MeryemEmail author
  • Naddami Ahmed
  • Hayani Sanaa
  • Fahli Ahmed
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 912)

Abstract

The increasing demand for water and the depleting fossil fuels for its treatment made renewable energies a better alternative source for feeding water desalination units. Photovoltaic (PV) energy is an important source of renewable energy that could be an alternative to satisfy the broad energy needs in the future.

Our project consists in the realization of a desalination mobile unit of brackish water based on solar energy which will serve as prototype for scientific research to develop many research axes. This prototype consists of different parts such as: The production of electrical energy by photovoltaic panels, DC/DC conversion, DC/AC conversion and water treatment.

PV system produces maximum output power in only one point on Power-Voltage (P-V) curve called Maximum Power Point (MPP). When the weather conditions change (such as temperature and irradiation), the voltage and current in the circuit change. In this case, a new MPP must be found based on Maximum Power Point Tracking algorithms (MPPT) to optimize the power generated by PV. Hence, many methods have been developed to determine MPP.

In this work, a comparison between two MPPT algorithms namely Perturb and Observe (P&O) and Incremental Conductance (InC) is presented. The simulations are accomplished by using a DC/DC Buck converter, a PV array and a load under MATLAB/Simulink environment. The obtained results, in different climatic conditions, reveal that the InC controller is more effective than P&O controller.

Keywords

MPPT Buck converter Perturb and Observe Incremental Conductance MATLAB/Simulink 

References

  1. 1.
    Garg, M.C., Joshi, H.: A review on PV-RO process: solution to drinking water scarcity due to high salinity in non-electrified rural areas. Sep. Sci. Technol. 50(8), 1270–1283 (2015)CrossRefGoogle Scholar
  2. 2.
    Miller, S., Shemer, H., Semiat, R.: Energy and environmental issues in desalination. Desalination 366, 2–8 (2015)CrossRefGoogle Scholar
  3. 3.
    Bourouni, K., Ben M’Barek, T., Al Taee, A.: Design and optimization of desalination reverse osmosis plants driven by renewable energies using genetic algorithms. Renew. Energy 36(3), 936–950 (2011)CrossRefGoogle Scholar
  4. 4.
    Chung, K., Yeo, I.-H., Lee, W., Oh, Y.K., Kim, D., Park, Y.-G.: Investigation into design parameters in seawater reverse osmosis (SWRO) and pressure retarded osmosis (PRO) hybrid desalination process: a semi-pilot scale study. Desalin. Water Treat. 57(51), 24636–24644 (2016)CrossRefGoogle Scholar
  5. 5.
    Agashichev, S., Lootahb, K.N.: Influence of temperature and permeate recovery on energy consumption of a reverse osmosis system. Desalination 3, 253–266 (2003)CrossRefGoogle Scholar
  6. 6.
    Choudhary, D., Saxena, A.R.: DC-DC buck-converter for MPPT of PV system. Int. J. Emerg. Technol. Adv. Eng. 4(7), 813–821 (2014)Google Scholar
  7. 7.
    Srinivas, P., Lakshmi, K.V., Ch, R.: Simulation of incremental conductance MPPT algorithm for PV systems using LabVIEW. IJIREEICE 4, 34–38 (2016)CrossRefGoogle Scholar
  8. 8.
    Agrawal, J.H., Aware, M.V.: Photovoltaic simulator developed in LabVIEW for evalution of MPPT techniques. In: International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), pp. 1142–1147 (2016)Google Scholar
  9. 9.
    Selmi, T., Belghouthi, R.: A novel widespread Matlab/Simulink based modeling of InGaN double hetero-junction p-i-n solar cell. Int. J. Energy Environ. Eng. 8(4), 273–281 (2017)CrossRefGoogle Scholar
  10. 10.
    Desai, H.P., Maheshwari, R.: Synchronized pulsed dc-dc converter as maximum power position tracker with wide load and insolation variation for stand alone PV system. Appl. Solar Energy 47(4), 271–280 (2011)CrossRefGoogle Scholar
  11. 11.
    Moharram, K.A., Abd-Elhady, M.S., Kandil, H.A., El-Sherif, H.: Enhancing the performance of photovoltaic panels by water cooling. Ain Shams Eng. J. 4(4), 869–877 (2013)CrossRefGoogle Scholar
  12. 12.
    Karami, N., Moubayed, N., Outbib, R.: general review and classification of different MPPT Techniques. Renew. Sustain. Energy Rev. 68, 1–18 (2017)CrossRefGoogle Scholar
  13. 13.
    Nath-Naidu, B.A.: Voltage based P&O algorithm for maximum power point tracking using labview. Innov. Syst. Des. Eng. 7(5), 12–16 (2016)Google Scholar
  14. 14.
    Yadav, A.P.K., Thirumaliah, S., Haritha, G., Scholar, P.G.: Comparison of MPPT algorithms for dc-dc converters based PV systems. Int. J. Adv. Res. Electr. Electron. Instrum. Eng. 1(1), 18–23 (2012)Google Scholar
  15. 15.
    Kermadi, M., Berkouk, E.M.: Artificial intelligence-based maximum power point tracking controllers for Photovoltaic systems: comparative study. Renew. Sustain. Energy Rev. 69(C), 369–386 (2017)CrossRefGoogle Scholar
  16. 16.
    Babaa, S.E., Armstrong, M., Pickert, V.: Overview of maximum power point tracking control methods for PV systems. J. Power Energy Eng. 20, 59 (2014)CrossRefGoogle Scholar
  17. 17.
    Na, W., Carley, T., Ketcham, L., Zimmer, B., Chen, P.: Simple DSP implementation of maximum power pointer tracking and inverter control for solar energy applications. J. Power Energy Eng. 04(09), 61 (2016)CrossRefGoogle Scholar
  18. 18.
    Francis, W.K., Mathew, P.J.: MATLAB/Simulink PV module model of P&O and DC link CDC MPPT algorithms with lab view real time monitoring and control over P&O technique. Int. J. Adv. Res. Electr. Electron. Instrum. Energy 3(5), 92–101 (1970)Google Scholar
  19. 19.
    Kumar, R., Choudhary, A., Koundal, G., Yadav, A.S.A.: Modelling/simulation of MPPT techniques for photovoltaic systems using Matlab. Int. J. 7(4), 178–187 (2017) Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Bachar Meryem
    • 1
    Email author
  • Naddami Ahmed
    • 1
  • Hayani Sanaa
    • 1
  • Fahli Ahmed
    • 1
  1. 1.Laboratoire Mathématiques Appliquées Technologies d’Information et de CommunicationUniv Hassan 1SettatMarocco

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