Skip to main content

MPPT Based Fuzzy-Logic Controller for Grid Connected Residential Photovoltaic Power System

  • 870 Accesses

Part of the Lecture Notes in Networks and Systems book series (LNNS,volume 102)

Abstract

This paper focuses on control strategy of the direct current voltage reference of a voltage source converter based on fuzzy logic controller. A PV array is connected to residential system via an inverter. The inverter control system uses three controllers. The first one is a Maximum Power Point Tracking (MPPT) controller. Based on fuzzy logic system scheme, this MPPT system automatically varies the VDC reference signal of the inverter VDC regulator in order to obtain the DC voltage which will extract maximum power from the PV string. The second controller regulates the DC link voltage to its reference value and the third controller regulates active and reactive grid current components. The active current reference is the output of the DC voltage controller. Result from the simulation shows that the fuzzy controller is able to varies the VDC reference signal of the inverter VDC regulator in various irradiation condition to extract maximum power from the PV string.

Keywords

  • Fuzzy controller
  • Residential photovoltaic system
  • PV array
  • Inverter control

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-030-37207-1_13
  • Chapter length: 8 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   189.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-37207-1
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   249.99
Price excludes VAT (USA)
Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.
Fig. 6.
Fig. 7.
Fig. 8.
Fig. 9.
Fig. 10.

References

  1. Yang, Y., Blaabjerg, F.: Overview of single-phase grid-connected photovoltaic systems. Electric Power Compon. Syst. 43(12), 1352–1363 (2015)

    CrossRef  Google Scholar 

  2. Li, D.H., Wang, H.X., Zhu, X.D., Li, Z.: Research on several critical problems of photovoltaic grid-connected generation system. Power System Prot. Control 38(21), 208–214 (2010)

    Google Scholar 

  3. Ranaweera, I., Sanchez, S., Midtgård, O.M.: Residential photovoltaic and battery energy system with grid support functionalities. In: 6th International Symposium on Power Electronics for Distributed Generation Systems (PEDG), pp. 1–7 (2015)

    Google Scholar 

  4. Johnson, O., Ogunseye, A.A.: Grid connected photovoltaic system design for local government offices in Nigeria. Nigerian J. Technol. 36(2), 571–581 (2017)

    CrossRef  Google Scholar 

  5. Shiau, J.-K., Wei, Y.-C., Chen, B.-C.: A study on the fuzzy-logic-based solar power MPPT algorithms using different fuzzy input variables. Algorithms 8, 100–127 (2015)

    CrossRef  Google Scholar 

  6. Hohm, D.P., Ropp, M.E.: Comparative study of maximum power point tracking algorithms. Prog. Photovoltaics Res. Appl. 11, 47–62 (2003)

    CrossRef  Google Scholar 

  7. Hussein, K.H., Muta, I., Hoshino, T., Osakada, M.: Maximum photovoltaic power tracking: an algorithm for rapidly changing atmospheric conditions. IEE Proc. Gener. Transm. Distrib. 142, 59–64 (1995)

    CrossRef  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to A. Abbadi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Verify currency and authenticity via CrossMark

Cite this paper

Abbadi, A., Hamidia, F., Morsli, A., Benbouabdellah, O., Chiba, Y. (2020). MPPT Based Fuzzy-Logic Controller for Grid Connected Residential Photovoltaic Power System. In: Hatti, M. (eds) Smart Energy Empowerment in Smart and Resilient Cities. ICAIRES 2019. Lecture Notes in Networks and Systems, vol 102. Springer, Cham. https://doi.org/10.1007/978-3-030-37207-1_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-37207-1_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37206-4

  • Online ISBN: 978-3-030-37207-1

  • eBook Packages: EngineeringEngineering (R0)