Skip to main content
SpringerLink
Log in

Energy Management and Voltage Control of Standalone DC Microgrid with Energy Storage and Modified P&O MPPT Algorithm

  • Conference paper
  • First Online:
Digital Technologies and Applications (ICDTA 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 669))

Included in the following conference series:

  • 690 Accesses

Abstract

The deployment of renewable energy sources is a must to face global warming and decrease the emissions of CO2. PV systems are largely used as a source to supply loads through microgrids that prioritize the energy provided by renewable energy sources over other sources. To ensure the safety and safe operation of microgrids, it is mandatory to use an energy management system. In this paper, the modeling of a standalone DC microgrid with energy storage has been done in MATLAB/Simulink controlled by a PI controller to obtain an energy management system (EMS). The microgrid comprises a PV system as a supply source connected with a boost converter and a modified P&O MPPT algorithm to track the maximum power, a battery as a storage device with a bi-directional DC-DC converter, DC loads, and a control system. The objectives of the EMS are providing power to meet the load demand, balancing the DC bus voltage, and extending the battery life.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 299.99
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

References

  1. Said, S., Massoud, A., Benammar, M., Ahmed, S.: A matlab/simulink-based photovoltaic array model employing simpowersystems toolbox. J. Energy Power Eng. 6, 1965–1975 (2012)

    Google Scholar 

  2. Molina, M.G.: Energy storage and power electronics technologies: a strong combination to empower the transformation to the smart Grid. Proc. IEEE. 105, 2191–2219 (2017). https://doi.org/10.1109/JPROC.2017.2702627

    Article  Google Scholar 

  3. Mahmoud, M.S., Azher Hussain, S., Abido, M.A.: Modeling and control of microgrid: an overview. J. Franklin Inst. 351, 2822–2859 (2014). https://doi.org/10.1016/j.jfranklin.2014.01.016

    Article  MATH  Google Scholar 

  4. Batiyah, S., Sharma, R., Abdelwahed, S., Zohrabi, N.: An MPC-based power management of standalone DC microgrid with energy storage. Int. J. Electrical Power & Energy Syst. 120, 105949 (2020). https://doi.org/10.1016/j.ijepes.2020.105949

  5. Yazdanian, M., Mehrizi-Sani, A.: Distributed control techniques in microgrids. IEEE Trans. Smart Grid. 5, 2901–2909 (2014). https://doi.org/10.1109/TSG.2014.2337838

    Article  Google Scholar 

  6. Karim, S., Machkour, N., Zegrari, M., Aitelmahjoub, A., Sabiri, Z.: Modeling photovoltaic system using matlab/simulink. SSRN J. (2018). https://doi.org/10.2139/ssrn.3185323

    Article  Google Scholar 

  7. Yilmaz, U., Kircay, A., Borekci, S.: PV system fuzzy logic MPPT method and PI control as a charge controller. Renew. Sustain. Energy Rev. 81, 994–1001 (2018). https://doi.org/10.1016/j.rser.2017.08.048

    Article  Google Scholar 

  8. Mohanty, P., Bhuvaneswari, G., Balasubramanian, R., Dhaliwal, N.K.: MATLAB based modeling to study the performance of different MPPT techniques used for solar PV system under various operating conditions. Renew. Sustain. Energy Rev. 38, 581–593 (2014). https://doi.org/10.1016/j.rser.2014.06.001

    Article  Google Scholar 

  9. Vivas, F.J., et al.: Multi-objective fuzzy logic-based energy management system for microgrids with battery and hydrogen energy storage system. Electronics 9, 1074 (2020). https://doi.org/10.3390/electronics9071074

    Article  Google Scholar 

  10. Chettibi, N., Mellit, A., Sulligoi, G., Pavan, A.M.: Adaptive neural network-based control of a hybrid AC/DC microgrid. IEEE Trans. Smart Grid 9, 1–13 (2016). https://doi.org/10.1109/TSG.2016.2597006

    Article  Google Scholar 

  11. Alhamrouni, I., A. Hairullah, M., S. Omar, N., Salem, M., Jusoh, A., Sutikno, T.: Modelling and design of PID controller for voltage control of AC hybrid micro-grid. IJPEDS 10, 151 (2019). https://doi.org/10.11591/ijpeds.v10.i1.pp151-159

  12. Kumar, V., Singh, M.: Derated mode of power generation in PV system using modified perturb and observe MPPT algorithm. J. Mod. Power Syst. Clean Energy 9, 1183–1192 (2021). https://doi.org/10.35833/MPCE.2019.000258

    Article  MathSciNet  Google Scholar 

  13. Limouni, T., Yaagoubi, R., Bouziane, K., Guissi, K., Baali, E.H.: Optimization of P&O algorithm for load variation scenario through PV system physical model. In: Motahhir, S., Bossoufi, B., (eds.) Digital Technologies and Applications, pp. 603–612. Springer International Publishing, Cham (2022). https://doi.org/10.1007/978-3-031-01942-5_60

  14. Belkaid, A., Colak, I., Kayisli, K.: Implementation of a modified P&O-MPPT algorithm adapted for varying solar radiation conditions. Electr. Eng. 99(3), 839–846 (2016). https://doi.org/10.1007/s00202-016-0457-3

    Article  Google Scholar 

  15. Al Sumarmad, K.A., Sulaiman, N., Wahab, N.I.A., Hizam, H.: Energy Management and Voltage Control in Microgrids Using Artificial Neural Networks, PID, and Fuzzy Logic Controllers. Energies. 15, 303 (2022). https://doi.org/10.3390/en15010303

Download references

Author information

Authors and Affiliations

  1. Energy and Agro-Equipment Department, Institute of Agronomy and Veterinary Hassan II, 10112, Rabat, Morocco

    Tariq Limouni, Khalid Guissi & El Houssain Baali

  2. School of Geomatics and Surveying Engineering, Hassan II Institute of Agriculture and Veterinary Medicine, 10112, Rabat, Morocco

    Reda Yaagoubi

  3. LERMA, Higher School of Energy Engineering International University of Rabat Campus de L’UIR, Parc Technopolis, Rocade de Rabat-Salé, 11100, Sala Al Jadida, Morocco

    Tariq Limouni & Khalid Bouziane

Authors
  1. Tariq Limouni
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Reda Yaagoubi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Khalid Bouziane
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Khalid Guissi
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. El Houssain Baali
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Tariq Limouni .

Editor information

Editors and Affiliations

  1. Ecole Nationale des Sciences Appliquées, Fez, Morocco

    Saad Motahhir

  2. Faculty of Sciences, Sidi Mohamed Ben Abdellah University, Fez, Morocco

    Badre Bossoufi

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Limouni, T., Yaagoubi, R., Bouziane, K., Guissi, K., Baali, E.H. (2023). Energy Management and Voltage Control of Standalone DC Microgrid with Energy Storage and Modified P&O MPPT Algorithm. In: Motahhir, S., Bossoufi, B. (eds) Digital Technologies and Applications. ICDTA 2023. Lecture Notes in Networks and Systems, vol 669. Springer, Cham. https://doi.org/10.1007/978-3-031-29860-8_66

Download citation

Publish with us

Policies and ethics

Search

Navigation