Optimal Restoration of the Power System in case of Black Start Using Genetic Algorithm

Within the context of power grids, inertia is observed to be approximately constant over time, thereby contributing to the stability of the grid. However, as the share of renewable energy sources in the grid increases, the inertia associated with synchronous generators decreases, which has been shown to pose a threat to overall stability. In the context of modern power grids, the increasing share of renewable energy sources reduces system inertia, threatening overall stability and necessitating robust restoration strategies. This paper proposes a novel optimal restoration scheme utilizing a Multi-Objective Genetic Algorithm (MOGA) to address partial or complete blackouts. The study focuses on establishing an optimal schedule for Black Start