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Optimal Reconfiguration of Electrical Distribution System Using Heuristic Methods with Geopositioning Constraints

Author

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  • Edy Quintana

    (Department of Posgraduate in Electricity, Universidad Politécnica Salesiana, Quito 170525, Ecuador
    Current address: Postgraduate Department, Girón Campus, Av. 12 de Octubre N 23-52, Quito 170525, Ecuador.)

  • Esteban Inga

    (Department of Posgraduate ICT for Education, Smart Grid Research Group, Universidad Politécnica Salesiana, Quito 170525, Ecuador)

Abstract

Natural disasters have great destructive power and can potentially wipe out great lengths of power lines. A resilient grid can recover from adverse conditions and restore service quickly. Therefore, the present work proposes a novel methodology to reconfigure power grids through graph theory after an extreme event. The least-cost solution through a minimum spanning tree (MST) with a radial topology that connects all grid users is identified. To this end, the authors have developed an iterative minimum-path heuristic algorithm. The optimal location of transformers and maintenance holes in the grid is obtained with the modified Prim algorithm, and the Greedy algorithm complements the process. The span distance and capacity restrictions define the transformer’s number, where larger spans and capacities reduce the number of components in the grid. The performance of the procedure has been tested in the urban zone Quito Tenis of Ecuador, and the algorithm proved to be scalable. Grid reconfiguration is pushed through a powerful tool to model distribution systems such as CYMDIST, where the voltage drops were minor than 3.5%.

Suggested Citation

  • Edy Quintana & Esteban Inga, 2022. "Optimal Reconfiguration of Electrical Distribution System Using Heuristic Methods with Geopositioning Constraints," Energies, MDPI, vol. 15(15), pages 1-20, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5317-:d:868896
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    References listed on IDEAS

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