Evaluation of Power System Stability by use of Superconducting Magnetic Energy Storage (SMES)

Abstract

In this paper, a new method for the on-line identification of power system electro-mechanical modes (eigenvalues) by use of Superconducting Magnetic Energy Storage (SMES) is proposed. Modulated sinusoidal active power of small amplitude in the low frequency bandwidth (chirp signal) is given by SMES to the power system. From the system's response (active power oscillations at generator buses) low order models are estimated by output error modeling based on Gauss-Newton algorithm. Finally from the models estimated, eigenfrequencies and their damping are determined.
The method is useful in monitoring system steady state stability and in tuning power system control. The studies and results are based on the simulations of power system with SMES in PSCAD/EMTDC program.