IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v110y2019icp236-246.html
   My bibliography  Save this article

An analog based control scheme applied in stand-alone photovoltaic systems for DC power distribution

Author

Listed:
  • de Carvalho Neto, João T.
  • Salazar, Andrés O.
  • Lock, Alberto S.

Abstract

The integration of units with primary energy sources, energy storage and loads, is expected to play a promising role in the future of the electricity supply. The distributed energy resources are the basic units for storage and distribution in microgrids. A hybrid unit, which includes a primary energy source and storage simultaneously, is proposed in this work. The unit consists of a DC-DC Buck-Boost converter that tracks the maximum power supplied by a photovoltaic panel, a DC-DC Boost converter that regulates the microgrid DC bus voltage and a DC-DC bidirectional converter which controls the energy flow on the system, charging or discharging a battery bank. The control strategy for these converters should consider the protection of the batteries against voltage transients, as well as the protection of the loads at microgrid bus. Thus, this work proposes a coordinated control strategy for maximizing the power supplied to DC microgrids considering the usage of a photovoltaic energy source and a battery bank under different climate conditions. Simulation and experimental results show that the control strategy tracks the maximum power from the photovoltaic module, charges the batteries when they are discharged, and provides power from the batteries when needed, ensuring the protection of the batteries, autonomous loads and the optimization of energy available for the batteries and loads.

Suggested Citation

  • de Carvalho Neto, João T. & Salazar, Andrés O. & Lock, Alberto S., 2019. "An analog based control scheme applied in stand-alone photovoltaic systems for DC power distribution," Renewable and Sustainable Energy Reviews, Elsevier, vol. 110(C), pages 236-246.
    • Handle: RePEc:eee:rensus:v:110:y:2019:i:c:p:236-246
    DOI: 10.1016/j.rser.2019.04.067
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032119302886
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2019.04.067?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Reza Reisi, Ali & Hassan Moradi, Mohammad & Jamasb, Shahriar, 2013. "Classification and comparison of maximum power point tracking techniques for photovoltaic system: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 433-443.
    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. Dorota Bugała & Artur Bugała & Wojciech Machczyński, 2021. "Simulation of the Immunity Test of a Photovoltaic System Disturbed by Electromagnetic Voltage Surge," Energies, MDPI, vol. 14(12), pages 1-22, June.
    2. Masmoudi, Abdelkarim & Abdelkafi, Achraf & Krichen, Lotfi & Saidi, Abdelaziz Salah, 2022. "An experimental approach for improving stability in DC bus voltage of a stand-alone photovoltaic generator," Energy, Elsevier, vol. 257(C).

    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. Yao, Ganzhou & Luo, Zirong & Lu, Zhongyue & Wang, Mangkuan & Shang, Jianzhong & Guerrerob, Josep M., 2023. "Unlocking the potential of wave energy conversion: A comprehensive evaluation of advanced maximum power point tracking techniques and hybrid strategies for sustainable energy harvesting," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).
    2. Pasta, Edoardo & Faedo, Nicolás & Mattiazzo, Giuliana & Ringwood, John V., 2023. "Towards data-driven and data-based control of wave energy systems: Classification, overview, and critical assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 188(C).
    3. Ramli, Makbul A.M. & Twaha, Ssennoga & Ishaque, Kashif & Al-Turki, Yusuf A., 2017. "A review on maximum power point tracking for photovoltaic systems with and without shading conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 144-159.
    4. Chatterjee, Shantanu & Kumar, Prashant & Chatterjee, Saibal, 2018. "A techno-commercial review on grid connected photovoltaic system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P2), pages 2371-2397.
    5. Jiang, Joe-Air & Su, Yu-Li & Kuo, Kun-Chang & Wang, Chien-Hao & Liao, Min-Sheng & Wang, Jen-Cheng & Huang, Chen-Kang & Chou, Cheng-Ying & Lee, Chien-Hsing & Shieh, Jyh-Cherng, 2017. "On a hybrid MPPT control scheme to improve energy harvesting performance of traditional two-stage inverters used in photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 1113-1128.
    6. Başoğlu, Mustafa Engin & Çakır, Bekir, 2016. "Comparisons of MPPT performances of isolated and non-isolated DC–DC converters by using a new approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1100-1113.
    7. Hirvonen, Janne & Kayo, Genku & Hasan, Ala & Sirén, Kai, 2016. "Zero energy level and economic potential of small-scale building-integrated PV with different heating systems in Nordic conditions," Applied Energy, Elsevier, vol. 167(C), pages 255-269.
    8. Aotian Song & Lin Lu & Zhizhao Liu & Man Sing Wong, 2016. "A Study of Incentive Policies for Building-Integrated Photovoltaic Technology in Hong Kong," Sustainability, MDPI, vol. 8(8), pages 1-21, August.
    9. Ahmad, Riaz & Murtaza, Ali F. & Sher, Hadeed Ahmed, 2019. "Power tracking techniques for efficient operation of photovoltaic array in solar applications – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 101(C), pages 82-102.
    10. Zaheer Alam & Qudrat Khan & Laiq Khan & Safeer Ullah & Syed Abdul Mannan Kirmani & Abdullah A. Algethami, 2022. "Certainty-Equivalence-Based Sensorless Robust Sliding Mode Control for Maximum Power Extraction of an Uncertain Photovoltaic System," Energies, MDPI, vol. 15(6), pages 1-17, March.
    11. Rajesh, R. & Carolin Mabel, M., 2015. "A comprehensive review of photovoltaic systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 231-248.
    12. Saad, Naggar H. & El-Sattar, Ahmed A. & Mansour, Abd El-Aziz M., 2016. "Improved particle swarm optimization for photovoltaic system connected to the grid with low voltage ride through capability," Renewable Energy, Elsevier, vol. 85(C), pages 181-194.
    13. Boukenoui, R. & Ghanes, M. & Barbot, J.-P. & Bradai, R. & Mellit, A. & Salhi, H., 2017. "Experimental assessment of Maximum Power Point Tracking methods for photovoltaic systems," Energy, Elsevier, vol. 132(C), pages 324-340.
    14. Mbuli, N. & Ngaha, W.S., 2022. "A survey of big bang big crunch optimisation in power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 155(C).
    15. Ram, J.Prasanth & Rajasekar, N. & Miyatake, Masafumi, 2017. "Design and overview of maximum power point tracking techniques in wind and solar photovoltaic systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 1138-1159.
    16. Messalti, Sabir & Harrag, Abdelghani & Loukriz, Abdelhamid, 2017. "A new variable step size neural networks MPPT controller: Review, simulation and hardware implementation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 221-233.
    17. Danandeh, M.A. & Mousavi G., S.M., 2018. "Comparative and comprehensive review of maximum power point tracking methods for PV cells," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2743-2767.
    18. Gadelovits, Shlomo & Kuperman, Alon & Sitbon, Moshe & Aharon, Ilan & Singer, Sigmond, 2014. "Interfacing renewable energy sources for maximum power transfer—Part I: Statics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 31(C), pages 501-508.
    19. Joshi, Puneet & Arora, Sudha, 2017. "Maximum power point tracking methodologies for solar PV systems – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 70(C), pages 1154-1177.
    20. Bizon, Nicu, 2016. "Global Maximum Power Point Tracking (GMPPT) of Photovoltaic array using the Extremum Seeking Control (ESC): A review and a new GMPPT ESC scheme," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 524-539.

    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:eee:rensus:v:110:y:2019:i:c:p:236-246. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    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.