The growing integration of renewable energy sources is compelling power system operators to decommission conventional power plants, resulting in a loss of inertia and frequency control capabilities. This shift has led the system to operate at marginal or even lower limits of frequency reserves, diminishing overall reliability. Consequently, there is a critical need to resize reserves using innovative techniques and explore new frequency reserve products to mitigate these challenges. This project focuses on the dimensional aspects of Inertia, FFR (Frequency-Frequency Response), FCR (Frequency-Containment Reserve), FRR (Frequency Restoration Reserve), and RR (Restorarion Reserve) to address and optimize the system’s response
The methodologies that are used in the current project focus on theoretical calculation of system limits, dynamic simulations, probabilistic techniques and machine learning.