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Optimal isolated microgrid topology design for resilient applications

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  • Bintoudi, Angelina D.
  • Demoulias, Charis

Abstract

Meshed microgrids have been used in a plethora of specialised applications that demand increased system resilience, from data centres to the international space station. When resilience maximisation is the desideratum, topology design is the fundamental factor determining the overall system performance. Very few published papers on this problem are found in literature and they take into consideration partial available topologies, or they fail to quantify resilience or assess microgrid stability. To address these gaps on microgrid topology planning (MTP), this paper proposes a holistic optimal topology design framework, comprised of six stages: (a) graph generator to extract all possible connected, non-isomorphic networks for a given number of nodes, (b) optimal asset positioning upon each generated graph using mixed-integer linear programming, (c) small-signal stability assessment and (d) post-outage flow matrix calculation for each microgrid to quantify repercussions from fault/damage of all interconnecting lines, (e) quantification of resilience metrics originally applied to distribution systems to assess vulnerability and criticality of each line, along with classic graph-theoretical indicators and finally, (f) aggregation of said metrics to rank the produced microgrid topologies. The proposed methodology is evaluated through detailed discrete simulations to assess its efficacy and the dynamic stability of the optimal microgrid topology.

Suggested Citation

  • Bintoudi, Angelina D. & Demoulias, Charis, 2023. "Optimal isolated microgrid topology design for resilient applications," Applied Energy, Elsevier, vol. 338(C).
  • Handle: RePEc:eee:appene:v:338:y:2023:i:c:s0306261923002738
    DOI: 10.1016/j.apenergy.2023.120909
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    References listed on IDEAS

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    1. Hussain, Akhtar & Bui, Van-Hai & Kim, Hak-Man, 2019. "Microgrids as a resilience resource and strategies used by microgrids for enhancing resilience," Applied Energy, Elsevier, vol. 240(C), pages 56-72.
    2. Silvia Jiménez-Fernández & Carlos Camacho-Gómez & Ricardo Mallol-Poyato & Juan Carlos Fernández & Javier Del Ser & Antonio Portilla-Figueras & Sancho Salcedo-Sanz, 2018. "Optimal Microgrid Topology Design and Siting of Distributed Generation Sources Using a Multi-Objective Substrate Layer Coral Reefs Optimization Algorithm," Sustainability, MDPI, vol. 11(1), pages 1-21, December.
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    Cited by:

    1. Xu, Jiuping & Tian, Yalou & Wang, Fengjuan & Yang, Guocan & Zhao, Chuandang, 2024. "Resilience-economy-environment equilibrium based configuration interaction approach towards distributed energy system in energy intensive industry parks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    2. Erdal Irmak & Ersan Kabalci & Yasin Kabalci, 2023. "Digital Transformation of Microgrids: A Review of Design, Operation, Optimization, and Cybersecurity," Energies, MDPI, vol. 16(12), pages 1-58, June.

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