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Real Time Implementation of A Fuzzy Logic Based Mppt Controller for Grid Connected Photovoltaic System

Year 2015, Volume: 5 Issue: 1, 236 - 244, 01.03.2015

Abstract

The present work investigates a real time implementation of a photovoltaic grid connected chain, based on fuzzy logic MPPT controller (FLC). The implementation is realized on a dSPACE 1104 single board, controlling a boost chopper in the PV array side and a VSI inverter in the grid side. The FLC tracks permanently the maximum power point of the PV array without any prior information on the system model. The DC-link voltage controller is based on Lyapounov stability theory ensuring best performance for both transient and steady state, whereas, the hysteresis current controllers of the inverter allow a quasi-total transit of the maximum extracted PV power to the grid under unity power factor operation. The obtained results via Matlab-Simulink simulation are confirmed through experiment proving the effectiveness of the used control method. 

References

  • I. Purnama, Y.-K. Lo, and H.-J. Chiu, "A fuzzy control maximum power point tracking photovoltaic system," in fuzzy systems (FUZZ), 2011 IEEE international conference on, 2011, pp. 2432-2439.
  • K. Ishaque, Z. Salam, and G. Lauss, "The performance of perturb and observe and incremental conductance maximum power point tracking method under dynamic weather conditions," Applied Energy, vol. 119, pp. 228- 236, 2014.
  • C.-C. Chu and C.-L. Chen, "Robust maximum power point tracking method for photovoltaic cells: A sliding mode control approach," Solar Energy, vol. 83, pp. 1370-1378, 2009.
  • Y.-H. Liu, C.-L. Liu, J.-W. Huang, and J.-H. Chen, "Neural-network-based maximum power point tracking methods for photovoltaic systems operating under fast changing environments," Solar Energy, vol. 89, pp. 42- 53, 2013.
  • A. Chaouachi, R. M. Kamel, and K. Nagasaka, "A novel multi-model neuro-fuzzy-based MPPT for three-phase grid-connected photovoltaic system," Solar Energy, vol. 84, pp. 2219-2229, 2010.
  • Y. Shaiek, M. Ben Smida, A. Sakly, and M. F. Mimouni, "Comparison between conventional methods and GA approach for maximum power point tracking of shaded solar PV generators," Solar Energy, vol. 90, pp. 107- 122, 2013.
  • M. Mohd Zainuri, M. Radzi, A. C. Soh, an d N. A. Rahim, "Adaptive P&O-fuzzy control MPPT for PV boost dc-dc converter," in Power and Energy (PECon), 2012 IEEE International Conference on , pp. 524-529, 2012.
  • P. Li, C. Liu, W. Li, Z. Yin, J. Chen, and K. Liu, "The research on photovoltaic power flexible grid-connected in microgrid based on H∞ control," in Power System Technology (POWERCON), 2012 IEEE International Conference on, pp. 1-6, 2012.
  • X. Chen, Q. Fu, S. Yu, and L. Zhou, "Unified control of photovoltaic managements," in Power Electronics and Intelligent and power quality Transportation System, 2008. PEITS'08. Work shop on , pp. 360-365, 2008.
  • A. Betka and A. Attali, "Optimization of a photovoltaic pumping system based on the optimal control theory," Solar Energy, vol. 84, pp. 1273-1283, 2010.
  • R. Marouani and A. Mami, "Voltage oriented control applied to a grid connected photovoltaic system with maximum power point tracking technique," American Journal of Applied Sciences, vol. 7, p. 1168, 2010.
  • K. Barra and D. Rahem, "Predictive direct power control for photovoltaic grid connected system: An approach based on multilevel converters," Energy Conversion and Management, vol. 78, pp. 825-834, 2014. [13] A. A. Ovalle, H. Chamorro, and G. Ramos, "Improvements to MPPT for PV generation based on Mamdani and Takagi-Sugeno fuzzy techniques," in Transmission Conference and Exposition (T&D-LA), 2012 Sixth Latin America IEEE/PES, 2012, pp. 1-6.
  • N. Hamrouni, M. Jraidi, and A. Cherif, "New control strategy for 2-stage grid-connected photovoltaic power system," Renewable Energy, vol. 33, pp. 2212-2221, 2008.
  • M. Matsui, T. Kitano, and D. Xu, "A simple maximum photovoltaic power tracking technique utilizing system inherent Applications Conference, 2003. 38th IAS Annual phenomena," in Industry Meeting. Conference Record of the, pp. 2041-2047, 2003.
Year 2015, Volume: 5 Issue: 1, 236 - 244, 01.03.2015

Abstract

References

  • I. Purnama, Y.-K. Lo, and H.-J. Chiu, "A fuzzy control maximum power point tracking photovoltaic system," in fuzzy systems (FUZZ), 2011 IEEE international conference on, 2011, pp. 2432-2439.
  • K. Ishaque, Z. Salam, and G. Lauss, "The performance of perturb and observe and incremental conductance maximum power point tracking method under dynamic weather conditions," Applied Energy, vol. 119, pp. 228- 236, 2014.
  • C.-C. Chu and C.-L. Chen, "Robust maximum power point tracking method for photovoltaic cells: A sliding mode control approach," Solar Energy, vol. 83, pp. 1370-1378, 2009.
  • Y.-H. Liu, C.-L. Liu, J.-W. Huang, and J.-H. Chen, "Neural-network-based maximum power point tracking methods for photovoltaic systems operating under fast changing environments," Solar Energy, vol. 89, pp. 42- 53, 2013.
  • A. Chaouachi, R. M. Kamel, and K. Nagasaka, "A novel multi-model neuro-fuzzy-based MPPT for three-phase grid-connected photovoltaic system," Solar Energy, vol. 84, pp. 2219-2229, 2010.
  • Y. Shaiek, M. Ben Smida, A. Sakly, and M. F. Mimouni, "Comparison between conventional methods and GA approach for maximum power point tracking of shaded solar PV generators," Solar Energy, vol. 90, pp. 107- 122, 2013.
  • M. Mohd Zainuri, M. Radzi, A. C. Soh, an d N. A. Rahim, "Adaptive P&O-fuzzy control MPPT for PV boost dc-dc converter," in Power and Energy (PECon), 2012 IEEE International Conference on , pp. 524-529, 2012.
  • P. Li, C. Liu, W. Li, Z. Yin, J. Chen, and K. Liu, "The research on photovoltaic power flexible grid-connected in microgrid based on H∞ control," in Power System Technology (POWERCON), 2012 IEEE International Conference on, pp. 1-6, 2012.
  • X. Chen, Q. Fu, S. Yu, and L. Zhou, "Unified control of photovoltaic managements," in Power Electronics and Intelligent and power quality Transportation System, 2008. PEITS'08. Work shop on , pp. 360-365, 2008.
  • A. Betka and A. Attali, "Optimization of a photovoltaic pumping system based on the optimal control theory," Solar Energy, vol. 84, pp. 1273-1283, 2010.
  • R. Marouani and A. Mami, "Voltage oriented control applied to a grid connected photovoltaic system with maximum power point tracking technique," American Journal of Applied Sciences, vol. 7, p. 1168, 2010.
  • K. Barra and D. Rahem, "Predictive direct power control for photovoltaic grid connected system: An approach based on multilevel converters," Energy Conversion and Management, vol. 78, pp. 825-834, 2014. [13] A. A. Ovalle, H. Chamorro, and G. Ramos, "Improvements to MPPT for PV generation based on Mamdani and Takagi-Sugeno fuzzy techniques," in Transmission Conference and Exposition (T&D-LA), 2012 Sixth Latin America IEEE/PES, 2012, pp. 1-6.
  • N. Hamrouni, M. Jraidi, and A. Cherif, "New control strategy for 2-stage grid-connected photovoltaic power system," Renewable Energy, vol. 33, pp. 2212-2221, 2008.
  • M. Matsui, T. Kitano, and D. Xu, "A simple maximum photovoltaic power tracking technique utilizing system inherent Applications Conference, 2003. 38th IAS Annual phenomena," in Industry Meeting. Conference Record of the, pp. 2041-2047, 2003.
There are 14 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Menadi Abdelkrim This is me

Abdeddaim Sabrina This is me

Betka Achour This is me

Benchouia Mohamed Toufik This is me

Publication Date March 1, 2015
Published in Issue Year 2015 Volume: 5 Issue: 1

Cite

APA Abdelkrim, M., Sabrina, A., Achour, B., Toufik, B. M. (2015). Real Time Implementation of A Fuzzy Logic Based Mppt Controller for Grid Connected Photovoltaic System. International Journal Of Renewable Energy Research, 5(1), 236-244.
AMA Abdelkrim M, Sabrina A, Achour B, Toufik BM. Real Time Implementation of A Fuzzy Logic Based Mppt Controller for Grid Connected Photovoltaic System. International Journal Of Renewable Energy Research. March 2015;5(1):236-244.
Chicago Abdelkrim, Menadi, Abdeddaim Sabrina, Betka Achour, and Benchouia Mohamed Toufik. “Real Time Implementation of A Fuzzy Logic Based Mppt Controller for Grid Connected Photovoltaic System”. International Journal Of Renewable Energy Research 5, no. 1 (March 2015): 236-44.
EndNote Abdelkrim M, Sabrina A, Achour B, Toufik BM (March 1, 2015) Real Time Implementation of A Fuzzy Logic Based Mppt Controller for Grid Connected Photovoltaic System. International Journal Of Renewable Energy Research 5 1 236–244.
IEEE M. Abdelkrim, A. Sabrina, B. Achour, and B. M. Toufik, “Real Time Implementation of A Fuzzy Logic Based Mppt Controller for Grid Connected Photovoltaic System”, International Journal Of Renewable Energy Research, vol. 5, no. 1, pp. 236–244, 2015.
ISNAD Abdelkrim, Menadi et al. “Real Time Implementation of A Fuzzy Logic Based Mppt Controller for Grid Connected Photovoltaic System”. International Journal Of Renewable Energy Research 5/1 (March 2015), 236-244.
JAMA Abdelkrim M, Sabrina A, Achour B, Toufik BM. Real Time Implementation of A Fuzzy Logic Based Mppt Controller for Grid Connected Photovoltaic System. International Journal Of Renewable Energy Research. 2015;5:236–244.
MLA Abdelkrim, Menadi et al. “Real Time Implementation of A Fuzzy Logic Based Mppt Controller for Grid Connected Photovoltaic System”. International Journal Of Renewable Energy Research, vol. 5, no. 1, 2015, pp. 236-44.
Vancouver Abdelkrim M, Sabrina A, Achour B, Toufik BM. Real Time Implementation of A Fuzzy Logic Based Mppt Controller for Grid Connected Photovoltaic System. International Journal Of Renewable Energy Research. 2015;5(1):236-44.