Abstract
The occurrence of unfavorable weather conditions and natural disasters has always led to the imposition of extensive damages and outages at the level of distribution networks; that the number and severity of these events in recent years have often been increasing. Therefore, evaluating the resilience of the network and its reversibility ability in the face of natural disasters should be among the planning priorities for the design and operation of the network. The idea of this article is presented based on constructing the Tie-lines between the damaged sections of the network and healthy of the network in the event of a possible incident to return the service to the parts of the network without power. Finding an effective method to provide an optimal scheme to electrify the damaged parts with the lowest cost is one of the challenges of this research. Therefore, the genetic algorithm based on the elitism mechanism is proposed as one of the efficient evolutionary algorithms to optimize the total cost function, including the cost of constructing Tie-lines, the cost of reliability, and the cost of resilience. The proposed method has been applied to a feeder from the test network, and its superiority is presented through comparison with other evolutionary methods used in this study, such as particle swarm optimization and shuffled frog leaping algorithm.
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Ildarabadi, R., Lotfi, H. & Hajiabadi, M.E. Resilience enhancement of distribution grids based on the construction of Tie-lines using a novel genetic algorithm. Energy Syst 15, 371–401 (2024). https://doi.org/10.1007/s12667-022-00562-z
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DOI: https://doi.org/10.1007/s12667-022-00562-z