确定和维持可再生能源主导电力系统中区域最小惯性的新方法

The rapid displacement of synchronous generators by increased penetration of inverter-based resources (IBR) in power system areas that are potentially rich in renewable energy can lead to spatial non-uniform distribution of synchronous inertia. Consequently, even if the overall minimum inertia (MI) of the system is maintained, certain areas may experience stability issues, which would breach grid-code limits for the rate of change of frequency (RoCoF) following a contingency. Given this context, a method to determine the MI that is specific to individual areas is introduced. Additionally, a method for redistributing surplus inertia from high-inertia areas to low inertia areas is introduced by reducing electrical distance between the nodes. This approach utilizes green corridors, which are additional transmission lines that are established to evacuate surplus renewable power to the areas with higher demand and fossil-fueled-based generation, as pathways to transfer inertia. Furthermore, a machine-learning-assisted technique to compensate for shortfall in area-wise MI by placing new synchronous inertia compensators is proposed. Using this method, system operators can identify the location and size of synchronous or virtual inertia that may be required. The amount of additionally required inertia is quantified by the size of synchronous inertia compensators, to uphold area-specific RoCoF in renewable energy-integrated power systems. The proposed methodology is tested and validated in the modified IEEE-39 bus system.