Performance Comparison of Identification Methods Applied to Power Systems for FACTS Controller Design

This paper presents the performance comparison of three identification methods, from standpoint of studying power system low-frequency electromechanical oscillations for FACTS controller design. The output error method, the Steiglitz-McBride algorithm and the least square method for auto regressive exogenous input model structure are used to identify the low-order linear models of a sample two-area test power system from its time domain simulation data. The used data is obtained by applying a pseudo random binary signal to the system. the frequency domain characteristics and modal compassion of the identified systems, and the time domain results of the FACTS controller designed using these systems are used to compare the performance of three methods.