Topology Identification for Power Systems via Compressive Sensing Based on Transient Dynamics

Abstract

In this brief, we study topology identification with data from the transient dynamics of power systems. An improved sparsity adaptive matching pursuit algorithm based on compressive sensing is proposed to deal with the sparse topology recovery problem. The effect of algorithm parameters on the recovery performance is analyzed. The merits of our proposed algorithm are demonstrated in numerical simulations.