In modern power systems, the integration of renewable energy sources and the increasing complexity of network dynamics necessitate accurate estimation and monitoring of system parameters, particularly inertia. Inertia, a crucial characteristic of power systems, reflects the system's ability to withstand disturbances and maintain stability. This study will use approaches for online inertia estimation for example: Kalman filtering or least square estimation methods.