Harmonic Reduction Using PV Fuzzy with Inverter

  • Subha Darsini Misra
  • Tapas Mohapatra
  • Asish K Nanda
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 33)

Abstract

In previous years fossil fuel acts as major resources for producing electricity. Although solar power is pollution free so it can be available at any place and anywhere in the world. A conventional photovoltaic system extracts solar energy with high boosting capacity. In conventional method buck boost converter was used and it has a drawback that input of the current has fewer amounts of ripples. In this topic single phase inverter is used by replacing R-load of boost converter. Advantages of boost converter are it has continuous input current that can help us to find the average current mode control techniques to force the line current to track changes in the line voltage. The dc to ac inverter has the capacity of bidirectional power supply. In the given method LC filters is used for filtering the harmonics. In this method fuzzy logic control technique is used and a program is written in mamdani fuzzy by the help of maxmin method and centroid method of fuzzy logic in the embedded mat lab block of MATLAB. Using the fuzzy control technique the harmonics is somehow reduced.

Keywords

Array Circuit Equivalent Model Modelling Photovoltaic Maximum power Fuzzy logic control 

References

  1. 1.
    Amjad, A.M., Salam, Z.: A review of soft computing methods for harmonics elimination PWM for inverters in renewable energy conversion systems. Renew. Sustain. Energy Rev. 33, 141–153 (2014). doi:  10.1016/j.rser.2014.01.080
  2. 2.
    DKM., Deepa, L.: Implementation of fuzzy logic MPPT control and modified H-bridge inverter in photovoltaic system . In: IEEE Conference Publications on 13–14 Feb 2014 doi: 10.1109/ECS.2014.6892678(2014)
  3. 3.
    Altin, N., Ozdemir, S.: Three-phase three-level grid interactive inverter with fuzzy logic based maximum power point tracking controller. Energy Conv. Manage. 69, 17–26 (2013). doi:  10.1016/j.enconman.2013.01.012
  4. 4.
    Subramanian, V., Murugesan, S.: An artificial intelligent controller for a three phase inverter based solar PV system using boost converter. In: 2012 Fourth International Conference on Advanced Computing (ICoAC), pp. 1–7, 13–15 Dec 2012. doi:  10.1109/ICoAC.2012.6416840(2012)
  5. 5.
    Salam, A., Salim, A., Zaharah, S., Hamidon, F., Adam, I.: fuzzy logic controller for photovoltaic generation system in islanding mode operation. In: International Conference on Artificial Intelligence in Computer Science and ICT (AICS 2013), pp. 81–88. Langkawi, Malaysia, 25–26 Nov 2013. ISBN 978-967-11768-3-2Google Scholar
  6. 6.
    Sivagamasundari, M.S., Mary, P.M.: Fuzzy logic based cascaded H-bridge eleven level inverter for photovoltaic system using sinusoidal pulse width modulation technique. World Acad. Sci. Eng. Technol. Int. J. Electr. Robot. Electron. Commun. Eng. 8(2), 443–447 (2014)Google Scholar
  7. 7.
    Sathy, S., karthikeyan, C.: Fuzzy Logic based Z-source inverter for hybrid energy resources. Int. J. Eng. Sci. Innov. Technol. 2, 57–63 (2013). ISSN: 2319-5967Google Scholar

Copyright information

© Springer India 2015

Authors and Affiliations

  • Subha Darsini Misra
    • 1
  • Tapas Mohapatra
    • 1
  • Asish K Nanda
    • 2
  1. 1.Department of Electrical EngineeringSOA UniversityBhubaneswarIndia
  2. 2.Department of Electrical EngineeringVSSUTBurlaIndia

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