| Peer-Reviewed

A Variable Step Size MPPT Method for Stand-Alone PV Energy Systems

Received: 15 January 2015     Accepted: 19 January 2015     Published: 13 January 2016
Views:       Downloads:
Abstract

This paper presents an optimal algorithm control of photovoltaic generator system with battery energy storage. The system is the combination of photovoltaic (PV) array and battery storage via a common dc bus. The system components have substantially different voltage-current characteristics and they are integrated on the DC bus through power conditioning devices for optimal operation by using the developed Maximum Power Point Tracking (MPPT) control method. Using this method, it is possible to adapt the load to the PV modules and to follow the MPP howsoever the weather conditions may vary. This algorithm is based on perturbation and Observation (P&O) method with initial measurement of the tracking reference for estimating the step size to get the optimal operating point. The results show that the approach improves clearly the tracking efficiency of the maximum power available at the output of the PV modules and reduces the oscillations around the maximum power point.

Published in Journal of Energy and Natural Resources (Volume 5, Issue 1-1)

This article belongs to the Special Issue Electrical Power Resources: Coal versus Renewable Energy

DOI 10.11648/j.jenr.s.2016050101.11
Page(s) 1-5
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2016. Published by Science Publishing Group

Keywords

Photovoltaic, Battery Energy Storage, MPPT Method

References
[1] A. Ashraf, L. Ran and J. Bumby “Simulation and Control of a Hybrid PV-Wind System”, Power Electronics, Machines and Drives, 2008. PEMD 2008, York, UK, 2-4 April 2008.
[2] F. Valencaga, P. F. Puleston, and P. E. Battaiotto, “Power control of a solar/wind generation system without wind measurement: A passivity/ sliding mode approach,” IEEE Trans. Energy Convers., vol. 18, no. 4, pp. 501–507, Dec. 2003.
[3] B. S. Borowy and Z. M. Salameh, “Dynamic response to a stand-alone wind energy conversion system with battery energy storage to a wind gust,” IEEE Trans. Energy Convers., vol. 12, no. 1, pp. 73–78, Mar. 1997.
[4] R. Chedid and S. Rahman, “Unit sizing and control of hybrid wind-solar power systems,” IEEE Trans. Energy Convers., vol. 12, no. 1, pp. 79–85, Mar. 1997.
[5] W. D. Kellogg, M. H. Nehrir, G. Venkataramanan, and V. Greez, “Generation unit sizing and cost analysis for stand-alone wind, photovoltaic, and hybrid wind/PV systems,” IEEE Trans. Energy Convers., vol. 13, no. 1, pp. 70–75, Mar. 1998.
[6] R. Chedid and S. Rahman, “A decision support technique for the design of hybrid solar–wind power systems,” IEEE Trans. Energy Convers., vol. 13, no. 1, pp. 76–83, Mar. 1998.
[7] D. Das and al., “An optimal design of a grid connected hybrid wind/photovoltaic/fuel cell system for distributed energy production,” in Proc. 32nd Conf. IECON, Nov. 6–10, 2005, pp. 2499–2504.
[8] F. Giraud and Z. M. Salameh, “Steady-state performance of a grid connected rooftop hybrid wind–photovoltaic power system with battery storage,” IEEE Trans. Energy Convers., vol. 16, no. 1, pp. 1–7, Mar. 2001.
[9] J. T. Bialasiewicz, E. Muljadi, and R. G. Nix, “Simulation-based analysis of dynamics and control of autonomous wind–diesel hybrid power systems,” Int. J. Power Energy Syst., vol. 22, no. 1, pp. 24–33, 2002.
[10] E. Muljadi and J. T. Bialasiewicz, “Hybrid power system with a controlled energy storage,” in Proc. 29th Annu. Conf. IECON, Nov. 2–6, 2003, vol. 2, pp. 1296–1301.
[11] F. Valenciaga and P. F. Puleston, “Supervisor control for a standalone hybrid generation system using wind and photovoltaic energy,” IEEE Trans. Energy Convers., vol. 20, no. 2, pp. 398–405, Jun. 2005.
[12] T. Tafticht, K. Agbossou, A. Chériti and M.L.Doumbia “An Improved Maximum Power Point Tracking Method for Photovoltaic Systems”, International Journal of Renewable Energy, Vol.33, Issue 7, July 2008.
[13] T. Tafticht, K. Agbossou, A. Chériti and M. L. Doumbia.
[14] “Output Power Maximization of a Permanent Magnet Synchronous Generator Based Stand-alone Wind Turbine”, IEEE International Symposium on Industrial Electronics, ISIE’06, ETS-Downtown Montréal (Québec), 9-13 July 2006.
[15] T. Noguchi, S. Togachi and R. Nakamoto “Short-current pulse-based maximum-power-point tracking method for multiple photovoltaic and converter module system”, IEEE Trans Ind Electron., vol. 49, no. 1, pp. 217–23, Feb.2002.
[16] M. A. S. Masoum and al., “Theoretical and experimental analyses of photovoltaic systems with voltage and current-based maximum power-point tracking” IEEE Trans Energy Convers., vol. 17, no. 4, pp. 514-522, Dec. 2002.
Cite This Article
  • APA Style

    Tahar Tafticht, Yamina Azzoug. (2016). A Variable Step Size MPPT Method for Stand-Alone PV Energy Systems. Journal of Energy and Natural Resources, 5(1-1), 1-5. https://doi.org/10.11648/j.jenr.s.2016050101.11

    Copy | Download

    ACS Style

    Tahar Tafticht; Yamina Azzoug. A Variable Step Size MPPT Method for Stand-Alone PV Energy Systems. J. Energy Nat. Resour. 2016, 5(1-1), 1-5. doi: 10.11648/j.jenr.s.2016050101.11

    Copy | Download

    AMA Style

    Tahar Tafticht, Yamina Azzoug. A Variable Step Size MPPT Method for Stand-Alone PV Energy Systems. J Energy Nat Resour. 2016;5(1-1):1-5. doi: 10.11648/j.jenr.s.2016050101.11

    Copy | Download

  • @article{10.11648/j.jenr.s.2016050101.11,
      author = {Tahar Tafticht and Yamina Azzoug},
      title = {A Variable Step Size MPPT Method for Stand-Alone PV Energy Systems},
      journal = {Journal of Energy and Natural Resources},
      volume = {5},
      number = {1-1},
      pages = {1-5},
      doi = {10.11648/j.jenr.s.2016050101.11},
      url = {https://doi.org/10.11648/j.jenr.s.2016050101.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jenr.s.2016050101.11},
      abstract = {This paper presents an optimal algorithm control of photovoltaic generator system with battery energy storage. The system is the combination of photovoltaic (PV) array and battery storage via a common dc bus. The system components have substantially different voltage-current characteristics and they are integrated on the DC bus through power conditioning devices for optimal operation by using the developed Maximum Power Point Tracking (MPPT) control method. Using this method, it is possible to adapt the load to the PV modules and to follow the MPP howsoever the weather conditions may vary. This algorithm is based on perturbation and Observation (P&O) method with initial measurement of the tracking reference for estimating the step size to get the optimal operating point. The results show that the approach improves clearly the tracking efficiency of the maximum power available at the output of the PV modules and reduces the oscillations around the maximum power point.},
     year = {2016}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - A Variable Step Size MPPT Method for Stand-Alone PV Energy Systems
    AU  - Tahar Tafticht
    AU  - Yamina Azzoug
    Y1  - 2016/01/13
    PY  - 2016
    N1  - https://doi.org/10.11648/j.jenr.s.2016050101.11
    DO  - 10.11648/j.jenr.s.2016050101.11
    T2  - Journal of Energy and Natural Resources
    JF  - Journal of Energy and Natural Resources
    JO  - Journal of Energy and Natural Resources
    SP  - 1
    EP  - 5
    PB  - Science Publishing Group
    SN  - 2330-7404
    UR  - https://doi.org/10.11648/j.jenr.s.2016050101.11
    AB  - This paper presents an optimal algorithm control of photovoltaic generator system with battery energy storage. The system is the combination of photovoltaic (PV) array and battery storage via a common dc bus. The system components have substantially different voltage-current characteristics and they are integrated on the DC bus through power conditioning devices for optimal operation by using the developed Maximum Power Point Tracking (MPPT) control method. Using this method, it is possible to adapt the load to the PV modules and to follow the MPP howsoever the weather conditions may vary. This algorithm is based on perturbation and Observation (P&O) method with initial measurement of the tracking reference for estimating the step size to get the optimal operating point. The results show that the approach improves clearly the tracking efficiency of the maximum power available at the output of the PV modules and reduces the oscillations around the maximum power point.
    VL  - 5
    IS  - 1-1
    ER  - 

    Copy | Download

Author Information
  • Electrical Engineering Department, College of Engineering, Majmaah University, Majmaah, KSA

  • Electrical Engineering Department, College of Engineering, Majmaah University, Majmaah, KSA

  • Sections