Advertisement

Electrical Engineering

, Volume 100, Issue 3, pp 2129–2145 | Cite as

Behavior of nine levels NPC three-phase inverter topology interfacing photovoltaic system to the medium electric grid under variable irradiance

  • Rabiaa Mechouma
  • Hamza Mebarki
  • Boubekeur Azoui
Original Paper

Abstract

To reach the increasing demand for power quality and power rating along with lower harmonic distortion and lesser electromagnetic interference, the multilevel inverter is needed. Solar energy is one of the favorable renewable energy resources, and the multilevel inverter has been proven to be one of the important enabling technologies in photovoltaic utilization. This paper is based on the study of behavior of a nine levels NPC three-phase inverter topology interfacing multistring photovoltaic system to the electric grid. This inverter is controlled by the pulse-width modulated strategy. Eight carrier waves of the same frequency and different amplitudes are compared with two references (a sine wave and its opposite) for generating the control signals of the switches. Some DC/DC boost converters are used to amplify the voltage produced by the photovoltaic generators. Each of these converters is controlled by a fuzzy Logic-based maximum power point tracking algorithm (FLBMPPTA) in order to track the maximum power point of the GPV; results of simulation in Matlab environment are given and discussed.

Keywords

Grid-connected photovoltaic system (GCPVS) Multilevel three-phase NPC multistring inverter Multicarrier PWM Fuzzy logic control Medium voltage grid 

References

  1. 1.
    Vijay Kumar MG, Manjunath D, Patil Anil W (2012) Comparison of multilevel inverters with PWM control method. Int J IT Eng Appl Sci Res (IJIEASR) 1(3), ISSN: 2319-4413Google Scholar
  2. 2.
    Desconzi MI, Beltrame RC, Rech C, Schuch L, Hey HL (2010) Photovoltaic Stand-Alone Power Generation System with Multilevel Inverter. In: International Conference on Renewable Energies and Power Quality (ICREPQ’11), Las Palmas de Gran Canaria (Spain), 13th to 15th AprilGoogle Scholar
  3. 3.
    Jacobs IS, Bean CP. World energy statistics—2009. International EnergyGoogle Scholar
  4. 4.
    Liserre M, Sauter T, Hung JY (2010) Future energy systems: integrating renewable energy sources into the smart power grid through industrial electronics. IEEE Ind Electron Mag 4(1):18–37CrossRefGoogle Scholar
  5. 5.
    Hansen AD et al (2000) Models for standalone PV systems. Report Riso- R-1219(EN) SEC. RNL, Roskilde, DenmarkGoogle Scholar
  6. 6.
    Castaner L, Silvester S (2002) Modeling photovoltaic systems using PSPICE. Wily, 1ère Édition ISBN 0-470-84528-7Google Scholar
  7. 7.
    Celik AN, Acikgoz N (2007) Modeling and experimental verification of the operating currents of mono-cristalline photovoltaic modules using four and five parameters models. Appl Energy 84(1):1–15CrossRefGoogle Scholar
  8. 8.
    Marrakchi A, Kammoum S, Sallem S, Kammoum M (2015) A practical technique for connecting PV generator to single-phase grid. Sol Enegy 118:145–154CrossRefGoogle Scholar
  9. 9.
    Graham D, Lathrop RC (1953) The synthesis of optimum transient response: criteria and standard forms. Trans Am Inst Electr Eng Part 2 Appl Ind 72(5):273–288Google Scholar
  10. 10.
    Terki A, Moussi A, Betka A, Terki N (2012) An improved efficiency of fuzzy logic control of PMBLDC for PV pumping system. Appl Math Model 36(3):934–944CrossRefGoogle Scholar
  11. 11.
    Lee CC (1990) Fuzzy logic in control systems: fuzzy logic controller—parts I and II. IEEE Trans Syst Man Cybern 20(2):404–435CrossRefzbMATHGoogle Scholar
  12. 12.
    Mechouma Rabiaa, Azoui Boubekeur (2014) Multiple low frequency dual reference PWM control of a grid connected photovoltaic three phase NPC inverter with DC/DC boost converter. Serbian J Electr Eng (SJEE) 11(2):315–337CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.LEBUniversity of Batna 2BatnaAlgérie

Personalised recommendations