Skip to main content
Top

2020 | OriginalPaper | Chapter

Maximum Power Point Tracking Using a Hybrid Fuzzy Logic Control

Authors : Amruta S. Deshpande, Sanjaykumar L. Patil

Published in: Advances in Data and Information Sciences

Publisher: Springer Singapore

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

This paper proposes the design of a hybrid controller for a solar photovoltaic system to withdraw the maximum power. This controller combines the advantages of fuzzy controller and proportional–integral controller. The fuzzy logic control does not require the exact knowledge of the plant model while proportional– integral control reduces the offset value and gives easy architecture. Simple and efficient controller development are the main objectives behind the work. Enhanced tracking efficiency in the presence of varying environmental conditions is one of the main advantages of the controller. The controller is simulated for various irradiation and temperature conditions and the outputs are compared with fuzzy logic and traditional perturb observe controller.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Esram, T., & Chapman, P. L. (2007). Comparison of photovoltaic array maximum power point tracking techniques. IEEE Transactions on Energy Conversion, 22(2), 439–449.CrossRef Esram, T., & Chapman, P. L. (2007). Comparison of photovoltaic array maximum power point tracking techniques. IEEE Transactions on Energy Conversion, 22(2), 439–449.CrossRef
2.
go back to reference Houssamo, I., Locment, F., & Sechilariu, M. (2013). Experimental analysis of impact of MPPT methods on energy efficiency for photovoltaic power systems. International Journal of Electrical Power & Energy Systems, 46, 98–107.CrossRef Houssamo, I., Locment, F., & Sechilariu, M. (2013). Experimental analysis of impact of MPPT methods on energy efficiency for photovoltaic power systems. International Journal of Electrical Power & Energy Systems, 46, 98–107.CrossRef
3.
go back to reference Fathabadi, H. (2016). Novel fast dynamic MPPT (maximum power point tracking) technique with the capability of very high accurate power tracking. Energy, 94, 466–475.CrossRef Fathabadi, H. (2016). Novel fast dynamic MPPT (maximum power point tracking) technique with the capability of very high accurate power tracking. Energy, 94, 466–475.CrossRef
4.
go back to reference Wang, L. X., & Mendel, J. M. (1992). Generating fuzzy rules by learning from examples. IEEE Transactions on Systems, Man, and Cybernetics, 22(6), 1414–1427.MathSciNetCrossRef Wang, L. X., & Mendel, J. M. (1992). Generating fuzzy rules by learning from examples. IEEE Transactions on Systems, Man, and Cybernetics, 22(6), 1414–1427.MathSciNetCrossRef
5.
go back to reference Gounden, N. A., Peter, S. A., Nallandula, H., & Krithiga, S. (2009). Fuzzy logic controller with MPPT using line-commutated inverter for three-phase grid-connected photovoltaic systems. Renewable Energy, 34(3), 909–915.CrossRef Gounden, N. A., Peter, S. A., Nallandula, H., & Krithiga, S. (2009). Fuzzy logic controller with MPPT using line-commutated inverter for three-phase grid-connected photovoltaic systems. Renewable Energy, 34(3), 909–915.CrossRef
6.
go back to reference Alajmi, B. N., Ahmed, K. H., Finney, S. J., & Williams, B. W. (2011). Fuzzy-logic-control approach of a modified hill-climbing method for maximum power point in microgrid standalone photovoltaic system. IEEE Transactions on Power Electronics, 26(4), 1022–1030.CrossRef Alajmi, B. N., Ahmed, K. H., Finney, S. J., & Williams, B. W. (2011). Fuzzy-logic-control approach of a modified hill-climbing method for maximum power point in microgrid standalone photovoltaic system. IEEE Transactions on Power Electronics, 26(4), 1022–1030.CrossRef
7.
go back to reference Larbes, C., Cheikh, S. A., Obeidi, T., & Zerguerras, A. (2009). Genetic algorithms optimized fuzzy logic control for the maximum power point tracking in photovoltaic system. Renewable Energy, 34(10), 2093–2100.CrossRef Larbes, C., Cheikh, S. A., Obeidi, T., & Zerguerras, A. (2009). Genetic algorithms optimized fuzzy logic control for the maximum power point tracking in photovoltaic system. Renewable Energy, 34(10), 2093–2100.CrossRef
8.
go back to reference Mirhassani, S. M., Golroodbari, S. Z. M., Golroodbari, S. M. M., & Mekhilef, S. (2015). An improved particle swarm optimization based maximum power point tracking strategy with variable sampling time. International Journal of Electrical Power & Energy Systems, 64, 761–770.CrossRef Mirhassani, S. M., Golroodbari, S. Z. M., Golroodbari, S. M. M., & Mekhilef, S. (2015). An improved particle swarm optimization based maximum power point tracking strategy with variable sampling time. International Journal of Electrical Power & Energy Systems, 64, 761–770.CrossRef
9.
go back to reference Cheng, P. C., Peng, B. R., Liu, Y. H., Cheng, Y. S., & Huang, J. W. (2015). Optimization of a fuzzy-logic-control-based MPPT algorithm using the particle swarm optimization technique. Energies, 8(6), 5338–5360.CrossRef Cheng, P. C., Peng, B. R., Liu, Y. H., Cheng, Y. S., & Huang, J. W. (2015). Optimization of a fuzzy-logic-control-based MPPT algorithm using the particle swarm optimization technique. Energies, 8(6), 5338–5360.CrossRef
10.
go back to reference Chen, Y. T., Jhang, Y. C., & Liang, R. H. (2016). A fuzzy-logic based auto-scaling variable step-size MPPT method for PV systems. Solar Energy, 126, 53–63.CrossRef Chen, Y. T., Jhang, Y. C., & Liang, R. H. (2016). A fuzzy-logic based auto-scaling variable step-size MPPT method for PV systems. Solar Energy, 126, 53–63.CrossRef
11.
go back to reference Menadi, A., Abdeddaim, S., Ghamri, A., & Betka, A. (2015). Implementation of fuzzy-sliding mode based control of a grid connected photovoltaic system. ISA Transactions, 58, 586–594.CrossRef Menadi, A., Abdeddaim, S., Ghamri, A., & Betka, A. (2015). Implementation of fuzzy-sliding mode based control of a grid connected photovoltaic system. ISA Transactions, 58, 586–594.CrossRef
12.
go back to reference Chikh, A., & Chandra, A. (2015). An optimal maximum power point tracking algorithm for PV systems with climatic parameters estimation. IEEE Transactions on Sustainable Energy, 6(2), 644–652.CrossRef Chikh, A., & Chandra, A. (2015). An optimal maximum power point tracking algorithm for PV systems with climatic parameters estimation. IEEE Transactions on Sustainable Energy, 6(2), 644–652.CrossRef
13.
go back to reference Dounis, A. I., Kofinas, P., Alafodimos, C., & Tseles, D. (2013). Adaptive fuzzy gain scheduling PID controller for maximum power point tracking of photovoltaic system. Renewable Energy, 60, 202–214.CrossRef Dounis, A. I., Kofinas, P., Alafodimos, C., & Tseles, D. (2013). Adaptive fuzzy gain scheduling PID controller for maximum power point tracking of photovoltaic system. Renewable Energy, 60, 202–214.CrossRef
Metadata
Title
Maximum Power Point Tracking Using a Hybrid Fuzzy Logic Control
Authors
Amruta S. Deshpande
Sanjaykumar L. Patil
Copyright Year
2020
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-0694-9_21