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.
