Quantum mechanics

Control (management)

Engineering

Phasor

Systems engineering

Power (physics)

Computer science

Classical mechanics

Estimation

Physics

System of measurement

Astronomy

Electric power system

Environmental science

Inertia

Artificial intelligence

Control theory (sociology)

IEEE Transactions on Power Systems

This study presents a method of estimating the effective inertia of a power system from ambient frequency and active power signals measured by phasor measurement units. Most importantly, we demonstrate that inertia can be estimated from ambient measurement data, not only from disturbances. This leads to the possibility of monitoring inertia in a close to continuous manner in the time scale of minutes or tens of minutes. The method allows the system to be divided into a number of areas and the effective inertia of each area to be estimated as a separate quantity. In principle, inertia is estimated by observing the dynamics between changes in active power and resulting frequency deviations during normal operation of the system. The method is based on applying system identification on these measurements and extracting inertia values from identified models. Efficacy of the method is demonstrated on results of real measurements from the Icelandic power system.

Estimation of Power System Inertia From Ambient Wide Area Measurements