Abstract

The restoration of power systems is emphasized in the modern electric power system (EPS) due to complex, interconnected networks, and natural catastrophic events. However, large-scale disruptions in the power system result in a partial or complete blackout. Such events have a low probability and high impact, causing significant regional socio-economic losses. Hence, the black start (BS) resource is needed to deliver the cranking power to restart the non-black start (NBS) units, energize the path, load, and restore the complete system with parallel restoration. This paper implemented a novel optimal restoration scheme to restore the power system after partial or complete blackout. A multi-objective genetic algorithm is used to solve each island’s optimal generation unit’s start-up sequence, priority start of critical load and restoring the maximum load in minimum restoration time using an optimal transmission path with a minimum number of switching actions. A case study based on the IEEE-39 benchmark system validates the effectiveness of the proposed algorithm.

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