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Configurations of Aromatic Networks for Power Distribution System

Author

Listed:
  • K. Prakash

    (School of Engineering and Information Technology, UNSW, Canberra, ACT 2610, Australia)

  • F. R. Islam

    (School of Science and Engineering, The University of Sunshine Coast (USC), Moreton Bay, QLD 4502, Australia)

  • K. A. Mamun

    (School of Engineering and Physics, The University of the South Pacific (USP), Suva, Fiji)

  • H. R. Pota

    (School of Engineering and Information Technology, UNSW, Canberra, ACT 2610, Australia)

Abstract

A distribution network is one of the main parts of a power system that distributes power to customers. While there are various types of power distribution networks, a recently introduced novel structure of an aromatic network could begin a new era in the distribution levels of power systems and designs of microgrids or smart grids. In order to minimize blackout periods during natural disasters and provide sustainable energy, improve energy efficiency and maintain stability of a distribution network, it is essential to configure/reconfigure the network topology based on its geographical location and power demand, and also important to realize its self-healing function. In this paper, a strategy for reconfiguring aromatic networks based on structures of natural aromatic molecules is explained. Various network structures are designed, and simulations have been conducted to justify the performance of each configuration. It is found that an aromatic network does not need to be fixed in a specific configuration (i.e., a DDT structure), which provides flexibility in designing networks and demonstrates that the successful use of such structures will be a perfect solution for both distribution networks and microgrid systems in providing sustainable energy to the end users.

Suggested Citation

  • K. Prakash & F. R. Islam & K. A. Mamun & H. R. Pota, 2020. "Configurations of Aromatic Networks for Power Distribution System," Sustainability, MDPI, vol. 12(10), pages 1-17, May.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:10:p:4317-:d:362625
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    References listed on IDEAS

    as
    1. Karla B. Freitas & Márcio S. Arantes & Claudio F. M. Toledo & Alexandre C. B. Delbem, 2020. "MIQP model and improvement heuristic for power loss minimization in distribution system with network reconfiguration," Journal of Heuristics, Springer, vol. 26(1), pages 59-81, February.
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    Cited by:

    1. Kabir A. Mamun & F. R. Islam & R. Haque & Aneesh A. Chand & Kushal A. Prasad & Krishneel K. Goundar & Krishneel Prakash & Sidharth Maharaj, 2022. "Systematic Modeling and Analysis of On-Board Vehicle Integrated Novel Hybrid Renewable Energy System with Storage for Electric Vehicles," Sustainability, MDPI, vol. 14(5), pages 1-33, February.
    2. Prakash, K. & Ali, M. & Hossain, M A & Kumar, Nallapaneni Manoj & Islam, M.R. & Macana, C.A. & Chopra, Shauhrat S. & Pota, H.R., 2022. "Planning battery energy storage system in line with grid support parameters enables circular economy aligned ancillary services in low voltage networks," Renewable Energy, Elsevier, vol. 201(P1), pages 802-820.

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