Data-adaptive Retrofit Control for Power System Stabilizer Design

Abstract

In this paper, we propose a design procedure for power system stabilizers (PSSs) in the context of data-adaptive retrofit control. The proposed procedure is modular in the sense that both design and implementation of PSSs can be performed using only a local subsystem model and local measurements. In particular, we consider the online identification of a dynamic feedback effect between the states of a generator of interest and the main grid to make the PSS adaptive to the variation of the grid characteristics depending on the power flow distributions. We show that the same retrofit controller developed in the literature for linear systems also works properly for nonlinear power systems where an operating point of interest varies depending on power flow distributions. In addition, we show an online identification algorithm of the network characteristics that exploits the physical structure of power systems. We demonstrate the effectiveness of the identification algorithm through a numerical simulation on the IEEE 68-bus test power system model.