IDEAS home Printed from https://ideas.repec.org/a/epw/ejece0/v3y2019i5id19136.html

Design Of Distribution Board Unit For A Business Focus

Author

Listed:
  • Oyeleye Matthew Olayinka

Abstract

This research focus on adequate sizing of miniature circuit breakers (MCBs) and Molded Case Circuit Breaker (MCCB) of distribution board unit for a business center/focus. The aim of this research is to overcome the tripping and burning of connected loads in the study area. The load survey of the business center was carried out and the current rating of the associated equipment used were computed, using the data obtained from the name plate of the equipment. The rated values of the existing MCBs and MCCB were compared with the recommended values obtained from international codes in order to determine the inadequacy of the existing ones in term of protection for the connected load. The result obtained shows that 11% of the load are adequately protected against over current, 6% of the existing load is under-rated while 83% of the load were not over current protected in the existing DB. Re-design the DB protective devices was carried out in accordance with the international codes to avoid tripping and frequent burning of loads. The number of MCBs resigned is 22.5 single phase MCBs. 23 single phase DB are not readily available, three phase, 8-Way DB is recommended with 25% future expansion. The voltage drop for the cable between the MCCB and the supply source is lesser (0.4%) than 3% recommended by NEC. 100% of the load are protected in the new design hence protection for all the connected loads against overcurrent damage thus removing tripping and burning of many connected loads in the studied area Equation to size DB is proposed in this work. Overcurrent protective device (CB) must conform to international standard of 1.25 multiplying factor in order to adequately protect the intending load. This is necessary to reduce cost of maintenance and or otherwise procurement of new one. It is also necessary to avoid disruption of work or service.

Suggested Citation

  • Oyeleye Matthew Olayinka, 2019. "Design Of Distribution Board Unit For A Business Focus," European Journal of Electrical Engineering and Computer Science, European Open Science, vol. 3(5), September.
    • Handle: RePEc:epw:ejece0:v:3:y:2019:i:5:id:19136
    DOI: 10.24018/ejece.2019.3.5.136
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejece/article/view/19136
    File Function: Abstract page
    Download Restriction: no
    File URL: https://eu-opensci.org/index.php/ejece/article/download/19136/11048
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.24018/ejece.2019.3.5.136?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
    ---><---

    References listed on IDEAS

    as
    1. Yuan, Wei & Zhao, Long & Zeng, Bo, 2014. "Optimal power grid protection through a defender–attacker–defender model," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 83-89.
    Full references (including those not matched with items on IDEAS)

    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. Levitin, Gregory & Xing, Liudong & Xiang, Yanping, 2020. "Optimization of time constrained N-version programming service components with competing task execution and version corruption processes," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    2. Marcos Costa Roboredo & Luiz Aizemberg & Artur Alves Pessoa, 2019. "An exact approach for the r-interdiction covering problem with fortification," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(1), pages 111-131, March.
    3. Wang, Wei & Cammi, Antonio & Di Maio, Francesco & Lorenzi, Stefano & Zio, Enrico, 2018. "A Monte Carlo-based exploration framework for identifying components vulnerable to cyber threats in nuclear power plants," Reliability Engineering and System Safety, Elsevier, vol. 175(C), pages 24-37.
    4. Richard Li-Yang Chen & Neng Fan & Ali Pinar & Jean-Paul Watson, 2017. "Contingency-constrained unit commitment with post-contingency corrective recourse," Annals of Operations Research, Springer, vol. 249(1), pages 381-407, February.
    5. Zio, E., 2018. "The future of risk assessment," Reliability Engineering and System Safety, Elsevier, vol. 177(C), pages 176-190.
    6. Jiang, J. & Liu, X., 2018. "Multi-objective Stackelberg game model for water supply networks against interdictions with incomplete information," European Journal of Operational Research, Elsevier, vol. 266(3), pages 920-933.
    7. Ouyang, Min & Liu, Chuang & Xu, Min, 2019. "Value of resilience-based solutions on critical infrastructure protection: Comparing with robustness-based solutions," Reliability Engineering and System Safety, Elsevier, vol. 190(C), pages 1-1.
    8. Li, Chuangzhi & Zang, Tianlei & Zhou, Buxiang & Dong, Shen & Zhang, Xiaoshun, 2026. "Residual classifier assisted robust optimization for resilience enhancement of power system against cyber attack," Reliability Engineering and System Safety, Elsevier, vol. 265(PA).
    9. Zhang, Jing & Zhuang, Jun & Behlendorf, Brandon, 2018. "Stochastic shortest path network interdiction with a case study of Arizona–Mexico border," Reliability Engineering and System Safety, Elsevier, vol. 179(C), pages 62-73.
    10. Huadong Mo & Xun Xiao & Giovanni Sansavini & Daoyi Dong, 2024. "Optimal defense resource allocation against cyber-attacks in distributed generation systems," Journal of Risk and Reliability, , vol. 238(6), pages 1302-1329, December.
    11. Su, Wenjing & Blumsack, Seth & Webster, Mort, 2024. "A stochastic optimization framework to planing for geographically correlated failures in coupled natural gas and electric power systems," Reliability Engineering and System Safety, Elsevier, vol. 246(C).
    12. Zhao, Yirui & Gan, Wei & Yan, Mingyu & Wen, Jinyu & Zhou, Yue, 2025. "A scalable stochastic scheme for identifying critical substations considering the epistemic uncertainty of contingency in power systems," Applied Energy, Elsevier, vol. 381(C).
    13. Oster, Matthew R. & King, Ethan & Bakker, Craig & Bhattacharya, Arnab & Chatterjee, Samrat & Pan, Feng, 2023. "Multi-level optimization with the koopman operator for data-driven, domain-aware, and dynamic system security," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    14. Lin, Yanling & Bie, Zhaohong, 2018. "Tri-level optimal hardening plan for a resilient distribution system considering reconfiguration and DG islanding," Applied Energy, Elsevier, vol. 210(C), pages 1266-1279.
    15. Levitin, Gregory & Xing, Liudong & Xiang, Yanping, 2021. "Minimization of Expected User Losses Considering Co-resident Attacks in Cloud System with Task Replication and Cancellation," Reliability Engineering and System Safety, Elsevier, vol. 214(C).
    16. David L. Alderson & Gerald G. Brown & W. Matthew Carlyle & R. Kevin Wood, 2018. "Assessing and Improving the Operational Resilience of a Large Highway Infrastructure System to Worst-Case Losses," Transportation Science, INFORMS, vol. 52(4), pages 1012-1034, August.
    17. Omid Sadeghian & Behnam Mohammadi-Ivatloo & Fazel Mohammadi & Zulkurnain Abdul-Malek, 2022. "Protecting Power Transmission Systems against Intelligent Physical Attacks: A Critical Systematic Review," Sustainability, MDPI, vol. 14(19), pages 1-24, September.
    18. Matthews, Logan R. & Gounaris, Chrysanthos E. & Kevrekidis, Ioannis G., 2019. "Designing networks with resiliency to edge failures using two-stage robust optimization," European Journal of Operational Research, Elsevier, vol. 279(3), pages 704-720.
    19. Levitin, Gregory & Xing, Liudong & Dai, Yanshun, 2021. "Security and reliability of N-version cloud-based task solvers with individual version cancellation under data theft attacks," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    20. Youba Nait Belaid & Patrick Coudray & José Sanchez-Torres & Yi-Ping Fang & Zhiguo Zeng & Anne Barros, 2021. "Resilience Quantification of Smart Distribution Networks—A Bird’s Eye View Perspective," Energies, MDPI, vol. 14(10), pages 1-29, May.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:epw:ejece0:v:3:y:2019:i:5:id:19136. 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: support (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejece .

    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.