Optimal Restoration Sequence of Parallel Power System Using Genetic Algorithm /

Abstract

The restoration of power systems is more 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. Parallel power system restoration (PPSR) is done by restoring the islands with different BS units and NBS units. This paper implemented a novel optimal restoration scheme to resuscitate the power system after a partial or complete blackout. A multi-objective genetic algorithm is used to solve each island's optimal generating units start-up pattern, priority start of critical load, and restoring the maximum load in minimum restoration time using minimum number of switching actions to get the optimal transmission path. The IEEE-39 benchmark bus system is used to validates the effectiveness of the proposed algorithm by reducing the overall restoration time and attaining the maximum MW capability.