Augmented Generator Sub-transient Model Using Dynamic Phasor Measurements

TL;DR

This paper introduces a novel synchronous generator model utilizing phasor measurement data, incorporating derivatives for improved dynamic state estimation and parameter calibration, enhancing power grid monitoring capabilities.

Contribution

The paper presents a new sub-transient generator model based on PMU data that includes phasor derivatives for better dynamic analysis and robustness testing.

Findings

Model effectively estimates dynamic states and parameters.

Incorporates phasor derivatives for enhanced accuracy.

Demonstrates robustness across different control scenarios.

Abstract

In this article, we present a new model for a synchronous generator based on phasor measurement units (PMUs) data. The proposed sub-transient model allows to estimate the dynamic state variables as well as to calibrate model parameters. The motivation for this new model is to use more efficiently the PMU measurements which are becoming widely available in power grids. The concept of phasor derivative is applied, which not only includes the signal phase derivative but also its amplitude derivative. Applying known non-linear estimation techniques, we study the merits of this new model. In particular, we test robustness by considering a generator with different mechanical power controls.