IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i24p8432-d702136.html
   My bibliography  Save this article

RES Based Islanded DC Microgrid with Enhanced Electrical Network Islanding Detection

Author

Listed:
  • Muhammad Umair Shahid

    (Department of Electrical Engineering, Khwaja Fareed University of Engineering & Information Technology (KFUEIT), Rahim Yar Khan 64200, Pakistan
    School of Electronics, Information & Electrical Engineering (SEIEE), Smart Grid R&D Centre, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Thamer Alquthami

    (Department of Electrical and Computer Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Abubakar Siddique

    (Department of Electrical Engineering, Khwaja Fareed University of Engineering & Information Technology (KFUEIT), Rahim Yar Khan 64200, Pakistan)

  • Hafiz Mudassir Munir

    (Department of Electrical Engineering, Sukkur IBA University, Sukkur 65200, Pakistan)

  • Saqlain Abbas

    (Department of Mechanical Engineering, Narowal Campus, University of Engineering & Technology (UET) Lahore, Lahore 54890, Pakistan)

  • Zulkarnain Abbas

    (NFC Institute of Engineering and Technology, Multan 59300, Pakistan)

Abstract

An electrical islanding detection method for DC microgrid (MG) is proposed in this paper. Unlikely conventional AC MG system protection has been challenging for the DC MG system. The goal of the proposed scheme is to detect the islanding intelligently within the agent nodes. The proposed islanding detection technique detects the electrical link failure intelligently, and if any electrical link failure occurs, then the proposed technique maintains the MG operation and load sharing. Islanding detection is carried out using an injection signal and utilizes the existing communication network to check network connectivity. After checking the network connectivity, all the nodes maintain the look-up table of the connected network. This research work illustrates that the proposed electrical islanding detection technique is effective in maintaining the DC MG operation in the case of an electrical islanding/link failure scenario. The proposed scheme’s performance is checked through MATLAB/Simulink for the detection of islanding and maintaining the operation.

Suggested Citation

  • Muhammad Umair Shahid & Thamer Alquthami & Abubakar Siddique & Hafiz Mudassir Munir & Saqlain Abbas & Zulkarnain Abbas, 2021. "RES Based Islanded DC Microgrid with Enhanced Electrical Network Islanding Detection," Energies, MDPI, vol. 14(24), pages 1-18, December.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:24:p:8432-:d:702136
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/24/8432/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/24/8432/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sultana, Beenish & Mustafa, M.W. & Sultana, U. & Bhatti, Abdul Rauf, 2016. "Review on reliability improvement and power loss reduction in distribution system via network reconfiguration," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 297-310.
    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. Sowmya Ramachandradurai & Narayanan Krishnan & Gulshan Sharma & Pitshou N. Bokoro, 2023. "Islanding Detection with Reduced Non-Detection Zones and Restoration by Reconfiguration," Energies, MDPI, vol. 16(7), pages 1-19, March.
    2. Sowmya Ramachandradurai & Narayanan Krishnan & Natarajan Prabaharan, 2022. "Unintentional Passive Islanding Detection and Prevention Method with Reduced Non-Detection Zones," Energies, MDPI, vol. 15(9), pages 1-26, April.

    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. Sultana, U. & Khairuddin, Azhar B. & Sultana, Beenish & Rasheed, Nadia & Qazi, Sajid Hussain & Malik, Nimra Riaz, 2018. "Placement and sizing of multiple distributed generation and battery swapping stations using grasshopper optimizer algorithm," Energy, Elsevier, vol. 165(PA), pages 408-421.
    2. Mahmoud M. Sayed & Mohamed Y. Mahdy & Shady H. E. Abdel Aleem & Hosam K. M. Youssef & Tarek A. Boghdady, 2022. "Simultaneous Distribution Network Reconfiguration and Optimal Allocation of Renewable-Based Distributed Generators and Shunt Capacitors under Uncertain Conditions," Energies, MDPI, vol. 15(6), pages 1-27, March.
    3. Arun Onlam & Daranpob Yodphet & Rongrit Chatthaworn & Chayada Surawanitkun & Apirat Siritaratiwat & Pirat Khunkitti, 2019. "Power Loss Minimization and Voltage Stability Improvement in Electrical Distribution System via Network Reconfiguration and Distributed Generation Placement Using Novel Adaptive Shuffled Frogs Leaping," Energies, MDPI, vol. 12(3), pages 1-12, February.
    4. Ahmad, Tanveer & Chen, Huanxin & Wang, Jiangyu & Guo, Yabin, 2018. "Review of various modeling techniques for the detection of electricity theft in smart grid environment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2916-2933.
    5. Mukhopadhyay, Bineeta & Das, Debapriya, 2020. "Multi-objective dynamic and static reconfiguration with optimized allocation of PV-DG and battery energy storage system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
    6. Chenyang Ma & Wei Wang & Zhiqiang Cai & Jiangbin Zhao, 2022. "Maintenance optimization of reconfigurable systems based on multi-objective Birnbaum importance," Journal of Risk and Reliability, , vol. 236(2), pages 277-289, April.
    7. Sirjani, Reza & Rezaee Jordehi, Ahmad, 2017. "Optimal placement and sizing of distribution static compensator (D-STATCOM) in electric distribution networks: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 688-694.
    8. Larsen, Peter H. & Lawson, Megan & LaCommare, Kristina H. & Eto, Joseph H., 2020. "Severe weather, utility spending, and the long-term reliability of the U.S. power system," Energy, Elsevier, vol. 198(C).
    9. Ding, Tao & Lin, Yanling & Bie, Zhaohong & Chen, Chen, 2017. "A resilient microgrid formation strategy for load restoration considering master-slave distributed generators and topology reconfiguration," Applied Energy, Elsevier, vol. 199(C), pages 205-216.
    10. Bayat, A. & Bagheri, A., 2019. "Optimal active and reactive power allocation in distribution networks using a novel heuristic approach," Applied Energy, Elsevier, vol. 233, pages 71-85.
    11. Jooshaki, Mohammad & Lehtonen, Matti & Fotuhi-Firuzabad, Mahmud & Muñoz-Delgado, Gregorio & Contreras, Javier & Arroyo, José M., 2022. "On the explicit formulation of reliability assessment of distribution systems with unknown network topology: Incorporation of DG, switching interruptions, and customer-interruption quantification," Applied Energy, Elsevier, vol. 324(C).
    12. Azizivahed, Ali & Narimani, Hossein & Naderi, Ehsan & Fathi, Mehdi & Narimani, Mohammad Rasoul, 2017. "A hybrid evolutionary algorithm for secure multi-objective distribution feeder reconfiguration," Energy, Elsevier, vol. 138(C), pages 355-373.
    13. Ajoulabadi, Ata & Ravadanegh, Sajad Najafi & Behnam Mohammadi-Ivatloo,, 2020. "Flexible scheduling of reconfigurable microgrid-based distribution networks considering demand response program," Energy, Elsevier, vol. 196(C).
    14. Nevena Srećković & Miran Rošer & Gorazd Štumberger, 2021. "Utilization of Active Distribution Network Elements for Optimization of a Distribution Network Operation," Energies, MDPI, vol. 14(12), pages 1-17, June.

    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:14:y:2021:i:24:p:8432-:d:702136. 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.