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Automatic Dynamic Graph Calculation for the Fault Location System in a Grid with a Large Number of Unreliable Renewable Energy Sources

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Modern power grids with a high penetration of Renewable Energy Sources (RES) are characterized by dynamic and intermittent generation, which complicates the processes of automatic power supply restoration after faults such as short circuits. Traditional fault location and network restoration methods are often insufficient due to the big number of possible power grid configurations. This paper proposes a novel algorithm based on dynamic programming and graph theory to enhance the reliability and resilience of power systems with a high share of

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