Principal hankel component algorithm (PHCA) for power system identification

The paper presents one reduced-order Multi-Input-Multi-Output (MIMO) identification approach, Principal Hankel Component Algorithm (PHCA), for power system modal analysis and damping controller design. The PHCA method is modified, using finite pulse for signal excitation, and applied to the power system identification. The identification results show that it approximates the original system with tolerable error. The proposed method has the similar identification results compared with conventional ERA (Eigensystem Realization Algorithm) method in terms of identification accuracy under different SNR conditions and computation time consumption. A two-area four-machine system case is validated for the idea.