IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v12y2019i7p1305-d220189.html
   My bibliography  Save this article

Battery Characterization and Dimensioning Approaches for Micro-Grid Systems

Author

Listed:
  • Sofia Boulmrharj

    (FIL-ECINE, LERMA Lab, International University of Rabat, Sala El Jadida 11100, Morocco
    CUR”EnR&SIE”, LAROSERI Lab, Faculty of Sciences El Jadida, Chouaib Doukkali University, El Jadida 24000, Morocco)

  • Youssef NaitMalek

    (FIL-ECINE, LERMA Lab, International University of Rabat, Sala El Jadida 11100, Morocco
    ENSIAS, Mohamed V University, Rabat 10713, Morocco)

  • Abdellatif Elmouatamid

    (FIL-ECINE, LERMA Lab, International University of Rabat, Sala El Jadida 11100, Morocco
    CUR”EnR&SIE”, LAROSERI Lab, Faculty of Sciences El Jadida, Chouaib Doukkali University, El Jadida 24000, Morocco)

  • Mohamed Bakhouya

    (FIL-ECINE, LERMA Lab, International University of Rabat, Sala El Jadida 11100, Morocco)

  • Radouane Ouladsine

    (FIL-ECINE, LERMA Lab, International University of Rabat, Sala El Jadida 11100, Morocco)

  • Khalid Zine-Dine

    (CUR”EnR&SIE”, LAROSERI Lab, Faculty of Sciences El Jadida, Chouaib Doukkali University, El Jadida 24000, Morocco)

  • Mohammed Khaidar

    (CUR”EnR&SIE”, LAROSERI Lab, Faculty of Sciences El Jadida, Chouaib Doukkali University, El Jadida 24000, Morocco)

  • Mostapha Siniti

    (CUR”EnR&SIE”, LAROSERI Lab, Faculty of Sciences El Jadida, Chouaib Doukkali University, El Jadida 24000, Morocco)

Abstract

Micro-Grid (MG) systems have been extensively studied and deployed to lower the power consumption while reducing the greenhouse gas emissions. Although, the challenge with Renewable Energy Sources (RES) is their uncertain and intermittent nature, things that led the researchers to think about integrating storage devices, especially batteries, into MG systems. The main aim is to store the excess of produced energy for further usage when not enough energy is available. Nevertheless, batteries modeling and characterization is mandatory to identify their parameters and study their performance within MG systems. Moreover, in order to continuously supply electricity to the building, it is required to figure out the optimum size of energy production systems and storage devices. This paper introduces a methodology for MG modeling and performance evaluation. Its main contribution is twofold, (i) battery’s parameters identification, and (ii) modeling and dimensioning method for both standalone and MG systems. An instrumentation platform, composed of recent sensing and actuating equipment, for MG energy management and battery characterization is developed. Simulation and experimental results show the effectiveness of the proposed methodology.

Suggested Citation

  • Sofia Boulmrharj & Youssef NaitMalek & Abdellatif Elmouatamid & Mohamed Bakhouya & Radouane Ouladsine & Khalid Zine-Dine & Mohammed Khaidar & Mostapha Siniti, 2019. "Battery Characterization and Dimensioning Approaches for Micro-Grid Systems," Energies, MDPI, vol. 12(7), pages 1-13, April.
  • Handle: RePEc:gam:jeners:v:12:y:2019:i:7:p:1305-:d:220189
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/12/7/1305/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/12/7/1305/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lidula, N.W.A. & Rajapakse, A.D., 2011. "Microgrids research: A review of experimental microgrids and test systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(1), pages 186-202, January.
    2. Anoune, Kamal & Bouya, Mohsine & Astito, Abdelali & Abdellah, Abdellatif Ben, 2018. "Sizing methods and optimization techniques for PV-wind based hybrid renewable energy system: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 93(C), pages 652-673.
    3. Zhibing Zeng & Jindong Tian & Dong Li & Yong Tian, 2018. "An Online State of Charge Estimation Algorithm for Lithium-Ion Batteries Using an Improved Adaptive Cubature Kalman Filter," Energies, MDPI, vol. 11(1), pages 1-16, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Anass Berouine & Radouane Ouladsine & Mohamed Bakhouya & Mohamed Essaaidi, 2020. "Towards a Real-Time Predictive Management Approach of Indoor Air Quality in Energy-Efficient Buildings," Energies, MDPI, vol. 13(12), pages 1-16, June.
    2. Soukayna Berrabah & Mohamed Ould Moussa & Mohamed Bakhouya, 2021. "3D Modeling of the Thermal Transfer through Precast Buildings Envelopes," Energies, MDPI, vol. 14(13), pages 1-25, June.
    3. Sofia Boulmrharj & Mohammed Khaidar & Mohamed Bakhouya & Radouane Ouladsine & Mostapha Siniti & Khalid Zine-dine, 2020. "Performance Assessment of a Hybrid System with Hydrogen Storage and Fuel Cell for Cogeneration in Buildings," Sustainability, MDPI, vol. 12(12), pages 1-21, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Plain, N. & Hingray, B. & Mathy, S., 2019. "Accounting for low solar resource days to size 100% solar microgrids power systems in Africa," Renewable Energy, Elsevier, vol. 131(C), pages 448-458.
    2. Kim, Sunwoo & Choi, Yechan & Park, Joungho & Adams, Derrick & Heo, Seongmin & Lee, Jay H., 2024. "Multi-period, multi-timescale stochastic optimization model for simultaneous capacity investment and energy management decisions for hybrid Micro-Grids with green hydrogen production under uncertainty," Renewable and Sustainable Energy Reviews, Elsevier, vol. 190(PA).
    3. Restrepo, Mauricio & Cañizares, Claudio A. & Simpson-Porco, John W. & Su, Peter & Taruc, John, 2021. "Optimization- and Rule-based Energy Management Systems at the Canadian Renewable Energy Laboratory microgrid facility," Applied Energy, Elsevier, vol. 290(C).
    4. Haidar, Ahmed M.A. & Muttaqi, Kashem & Sutanto, Danny, 2015. "Smart Grid and its future perspectives in Australia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1375-1389.
    5. Tian, Yong & Huang, Zhijia & Tian, Jindong & Li, Xiaoyu, 2022. "State of charge estimation of lithium-ion batteries based on cubature Kalman filters with different matrix decomposition strategies," Energy, Elsevier, vol. 238(PC).
    6. Bui, Duong Minh & Chen, Shi-Lin & Lien, Keng-Yu & Chang, Yung-Ruei & Lee, Yih-Der & Jiang, Jheng-Lun, 2017. "Investigation on transient behaviours of a uni-grounded low-voltage AC microgrid and evaluation on its available fault protection methods: Review and proposals," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1417-1452.
    7. Bayrak, Gökay & Kabalci, Ersan, 2016. "Implementation of a new remote islanding detection method for wind–solar hybrid power plants," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 1-15.
    8. Wang, Y. & Mauree, D. & Sun, Q. & Lin, H. & Scartezzini, J.L. & Wennersten, R., 2020. "A review of approaches to low-carbon transition of high-rise residential buildings in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    9. Tine L. Vandoorn & Jan Van de Vyver & Louis Gevaert & Lieven Degroote & Lieven Vandevelde, 2015. "Congestion Control Algorithm in Distribution Feeders: Integration in a Distribution Management System," Energies, MDPI, vol. 8(6), pages 1-20, June.
    10. Jing Hou & He He & Yan Yang & Tian Gao & Yifan Zhang, 2019. "A Variational Bayesian and Huber-Based Robust Square Root Cubature Kalman Filter for Lithium-Ion Battery State of Charge Estimation," Energies, MDPI, vol. 12(9), pages 1-23, May.
    11. Miguel Carpintero-Rentería & David Santos-Martín & Josep M. Guerrero, 2019. "Microgrids Literature Review through a Layers Structure," Energies, MDPI, vol. 12(22), pages 1-22, November.
    12. Samet, Haidar & Hashemi, Farid & Ghanbari, Teymoor, 2015. "Minimum non detection zone for islanding detection using an optimal Artificial Neural Network algorithm based on PSO," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 1-18.
    13. Memon, Mudasir Ahmed & Mekhilef, Saad & Mubin, Marizan & Aamir, Muhammad, 2018. "Selective harmonic elimination in inverters using bio-inspired intelligent algorithms for renewable energy conversion applications: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2235-2253.
    14. Batas Bjelic, Ilija & Ciric, Rade M., 2014. "Optimal distributed generation planning at a local level – A review of Serbian renewable energy development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 79-86.
    15. Kinnon, Michael Mac & Razeghi, Ghazal & Samuelsen, Scott, 2021. "The role of fuel cells in port microgrids to support sustainable goods movement," Renewable and Sustainable Energy Reviews, Elsevier, vol. 147(C).
    16. Sachs, Julia & Sawodny, Oliver, 2016. "Multi-objective three stage design optimization for island microgrids," Applied Energy, Elsevier, vol. 165(C), pages 789-800.
    17. Polleux, Louis & Guerassimoff, Gilles & Marmorat, Jean-Paul & Sandoval-Moreno, John & Schuhler, Thierry, 2022. "An overview of the challenges of solar power integration in isolated industrial microgrids with reliability constraints," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    18. Bouzid, Allal M. & Guerrero, Josep M. & Cheriti, Ahmed & Bouhamida, Mohamed & Sicard, Pierre & Benghanem, Mustapha, 2015. "A survey on control of electric power distributed generation systems for microgrid applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 751-766.
    19. Yong Long & Yu Wang & Chengrong Pan, 2018. "Incentive Mechanism of Micro-grid Project Development," Sustainability, MDPI, vol. 10(1), pages 1-19, January.
    20. Elsied, Moataz & Oukaour, Amrane & Youssef, Tarek & Gualous, Hamid & Mohammed, Osama, 2016. "An advanced real time energy management system for microgrids," Energy, Elsevier, vol. 114(C), pages 742-752.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:12:y:2019:i:7:p:1305-:d:220189. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.