Skip to main content

Error-Based Active Disturbance Rejection Control for Maximum Power Point Tracking in Photovoltaic System

  • Conference paper
  • First Online:
Proceedings of 2021 Chinese Intelligent Systems Conference

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 804))

  • 1238 Accesses

Abstract

With the recent focus marked on conversion efficiency and renewable energy, more research is being devoted to the high-performance maximum power point tracking technology for photovoltaic applications. However, the intermittence and naturalness of solar energy bring a series of severe challenges to photovoltaic system, such as overload and overvoltage. In addition, photovoltaic system is faced with various parameter uncertainties and disturbances from irradiance. Traditional maximum power point tracking methods, such as perturb & observe and incremental conductance, are limited to tracking speed and tracking accuracy. To this end, a novel maximum power point tracking scheme based on the error-based active disturbance rejection control approach and perturb & observe method is proposed to obtain higher efficiency. In the face of various irradiance changes, disturbances can be eliminated rapidly. Finally, the superior performance of proposed scheme is validated by extensive simulation results.

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 349.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 449.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 449.99
Price excludes VAT (USA)
  • Durable hardcover 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

Similar content being viewed by others

References

  1. Zou, H.Y., Du, H.B., Marilyn, A.B., et al.: Large-scale PV power generation in China: a grid parity and techno-economic analysis. Energy 134, 256–268 (2017)

    Article  Google Scholar 

  2. Tafti, H.D., Maswood, A.I., Konstantinou. G., et al.: A general constant power generation algorithm for photovoltaic systems. IEEE Trans Power Electron. 33(5), 4088–4101 (2018)

    Google Scholar 

  3. Alik, R., Jusoh, A.: An enhanced P&O checking algorithm MPPT for high tracking efficiency of partially shaded PV module. Sol. Energy 163, 570–580 (2018)

    Article  Google Scholar 

  4. Shahid, H., Kamran, M., Mehmood, Z., et al.: Implementation of the novel temperature controller and incremental conductance MPPT algorithm for indoor photovoltaic system. Sol. Energy 163, 235–242 (2018)

    Article  Google Scholar 

  5. Harrag, A., Messalti, S.: IC-based variable step size neuro-fuzzy MPPT improving PV system performances. Energy Procedia 157, 362–374 (2019)

    Article  Google Scholar 

  6. Saravanan, S., Babu, N.R.: RBFN based MPPT algorithm for PV system with high step up converter. Energy Convers. Manage. 122, 239–251 (2016)

    Article  Google Scholar 

  7. Mao, M., Zhou, L., Yang, Z., et al.: A hybrid intelligent GMPPT algorithm for partial shading PV system. Contr. Eng. Pract. 83, 108–115 (2019)

    Article  Google Scholar 

  8. Pal, R.S., Mukherjee, V.: Metaheuristic based comparative MPPT methods for photovoltaic technology under partial shading condition. Energy 212, 118592 (2020)

    Article  Google Scholar 

  9. Wu, G.Y., Sun, L., Lee, K.Y., et al.: Disturbance rejection control of a fuel cell power plant in a grid-connected system. Contr. Eng. Pract. 60, 183–192 (2017)

    Article  Google Scholar 

  10. Madonski, R., Shao, S., Zhang, H., et al.: General error-based active disturbance rejection control for swift industrial implementations. Contr. Eng. Pract. 84, 218–229 (2019)

    Article  Google Scholar 

Download references

Acknowledgement

This work is supported by the Fundamental Research Funds for the Central Universities, China(Grant No. 2019JG004). The reviewers\(^{'}\)insightful comments and valuable suggestions are also greatly appreciated.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yin Ke .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ke, Y., Hou, G. (2022). Error-Based Active Disturbance Rejection Control for Maximum Power Point Tracking in Photovoltaic System. In: Jia, Y., Zhang, W., Fu, Y., Yu, Z., Zheng, S. (eds) Proceedings of 2021 Chinese Intelligent Systems Conference. Lecture Notes in Electrical Engineering, vol 804. Springer, Singapore. https://doi.org/10.1007/978-981-16-6324-6_33

Download citation

Publish with us

Policies and ethics