2022 article
Data-Adaptive Retrofit Control for Power System Stabilizer Design
2022 IEEE 61ST CONFERENCE ON DECISION AND CONTROL (CDC), pp. 2210–2215.
UN Sustainable Development Goal Categories
7. Affordable and Clean Energy
(Web of Science; OpenAlex)
Source: Web Of Science
Added: May 1, 2023
In this paper, we propose a design procedure of data-adaptive power system stabilizers (PSSs) in the framework of retrofit control. The proposed procedure is modular in the sense that both design and implementation processes of PSSs can be performed using only a local subsystem model and local measurement. In particular, we consider online identification of a dynamical feedback effect between the states of a generator of interest and the main grid to make the PSS adaptive to the variation of grid characteristics depending on power flow distributions. The main theoretical contribution is to show that the same retrofit controller as that developed for linear systems in the literature works properly even for nonlinear power systems where an operating point of interest varies depending on power flow distributions. In addition, we propose an online identification algorithm of the grid characteristics that makes use of the physical structure of power systems. We demonstrate the efficacy of the proposed data-adaptive PSS by a numerical simulation on the IEEE 9-bus test power system.