A Data-Driven Forced Oscillation Locating Method for Power Systems with Inverter-Based Resources

TL;DR

This paper introduces a novel data-driven method using SINDy to accurately locate forced oscillation sources in power systems with inverter-based resources, enhancing system stability and security.

Contribution

It presents a unified model for FO from IBRs and develops a SINDy-based algorithm for source localization, addressing challenges in modern power systems.

Findings

Successfully locates FO sources in the WECC 240-bus system

Effective in the presence of inverter-based resources

Outperforms traditional methods in accuracy

Abstract

Forced Oscillations (FO) stemming from external periodic disturbances threaten power system security and stability. The increasing penetration of Inverter-Based Resources(IBRs) further introduces FO, leading to new challenges in identifying and locating FO sources in modern power systems. In this paper, a novel data-driven method for locating FO in power systems with IBRs is proposed. Unlike previous works, a unified representation of FO originating from IBRs is considered, which further facilitates the development of the FO locating algorithm. Leveraging on Sparse Identification for a Nonlinear Dynamical (SINDy), a purely data-driven methodology is developed for locating the source of FO by interpreting the proposed model from measurements. Numerical results on the WECC 240-bus system validate the performance of the proposed approach in successfully locating FO in the presence of IBRs.