Power System Mode Tracking Using Recursive Subspace System Identification

Abstract— In this paper, power system modes are monitored for the purpose of stability prediction using an innovated recursive Subspace System Identification (SSI) method. SSI methods can process large package of sampled data using powerful mathematical tools. However, their application for monitoring requires some changes in SSI algorithms in order to provide their recursive versions. SSI algorithms have some troublesome steps which take enormous processing load. For instance, Singular Value Decomposition (SVD) which we avoid it using some innovations from propagator and projector methods, in order to propose a Recursive SSI (RSSI) algorithm. There are some difficulties in application of SSI for monitoring purposes which we process them in different sections of the paper. Finally, we provide a recursive SSI algorithm and apply it to different large scale power systems using computer simulations. Simulation result expresses good performance of the algorithms for power system mode identification and tracking.