Skip to main content

MPPT Strategy of PV System Based on Adaptive Fuzzy PID Algorithm

  • Conference paper
Life System Modeling and Intelligent Computing (ICSEE 2010, LSMS 2010)

Abstract

To further improve the control quality of photovoltaic generation MPPT system, dual-mode adaptive fuzzy PID control strategy was proposed in this paper. On the basis of conventional fuzzy tracking algorithm, the principle of control algorithm was analyzed and the control system was designed. The results show that dual-mode control algorithms can quickly sense the changes in the external environment, and track the maximum power point rapidly. At the same time, oscillation phenomenon near the MPP is eliminated effectively. The proposed MPPT system represents good stability, accuracy and rapidity.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Otieno, C.A., Nyakoe, G.N., Wekesa, C.W.: A Neural Fuzzy Based Maximum Power Point Tracker for a Photovoltaic System. In: IEEE Africon, Nairobi, 1–6 (2009)

    Google Scholar 

  2. Zhengqi, Y.: Study of MPPT Technique Based on Fuzzy Logic Control in PV System. D. Huazhong University of Science and Technology, Wuhan (2007)

    Google Scholar 

  3. Xinghong, Q., Bijun, W.: Fuzzy / PID dual-mode MPPT control in the application of PV power generation. J. Electric Power Automation Equipment, 93–94 (2008)

    Google Scholar 

  4. Cao, z., Xiangning, H.: Maximum Power Point Tracking by Using Asymmetric Fuzzy Control Combined With PID for Photovoltaic Energy Generation System. J. Transactions of China Electro Technical Society, 74–75 (2005)

    Google Scholar 

  5. Yongjun, L., Pin, W.: Adaptive fuzzy algorithm in the application of PV MPPT systems. J. Acta Energiae Solaris Sinica, 658–660 (2008)

    Google Scholar 

  6. Yanjun, L., Ke, Z.: Adaptive Control Theory and Applications. Northwestern Polytechnical University Press, Xian (2005)

    Google Scholar 

  7. Yan, X., Sun, J.: Self-adaptive tuning of fuzzy PID control of PV Grid-connected inverter. In: Sixth International Conference on Fuzzy Systems and Knowledge Discovery, Tianjin, vol. 4, pp. 160–162 (2009)

    Google Scholar 

  8. Guohui, Z., Qizhong, L.: An Intelligent Fuzzy Method for MPPT of Photovoltaic arrays. In: Second International Symposium on Computational Intelligence and Design, Changsha, vol. 2, pp. 356–359 (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hui, J., Sun, X. (2010). MPPT Strategy of PV System Based on Adaptive Fuzzy PID Algorithm. In: Li, K., Li, X., Ma, S., Irwin, G.W. (eds) Life System Modeling and Intelligent Computing. ICSEE LSMS 2010 2010. Communications in Computer and Information Science, vol 97. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15853-7_28

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-15853-7_28

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15852-0

  • Online ISBN: 978-3-642-15853-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics