Forced oscillation source localization from generator measurements

TL;DR

This paper extends a data-driven maximum-likelihood method for locating forced oscillation sources in power systems, accommodating buses without inertia or damping, thus improving real-world applicability.

Contribution

It introduces a Kron reduction-based extension to the maximum likelihood estimator for source localization in more realistic power system scenarios.

Findings

Successfully identifies oscillation source location and frequency

Handles buses without inertia or damping

Enhances practical applicability of source localization methods

Abstract

Malfunctioning equipment, erroneous operating conditions or periodic load variations can cause periodic disturbances that would persist over time, creating an undesirable transfer of energy across the system -- an effect referred to as forced oscillations. Wide-area oscillations may damage assets, trigger inadvertent tripping or control actions, and be the cause of equipment failure. Unfortunately, for wide-area oscillations, the location, frequency, and amplitude of these forced oscillations may be hard to determine. Recently, a data-driven maximum-likelihood-based method was proposed to perform source localization in transmission grids under wide-area response scenarios. However, this method relies on full PMU coverage and all buses having inertia and damping. Here, we extend this method to realistic scenarios which includes buses without inertia or dumping, such as passive loads and inverter-based generators. Incorporating Kron reduction directly into the maximum likelihood estimator, we are able to identify the location and frequency of forcing applied at both traditional generators and loads.