Achieving increased Phasor POD performance by introducing a Control-Input Model

TL;DR

This paper enhances the Phasor Power Oscillation Damper by integrating a Kalman Filter-based prediction-correction scheme, significantly improving oscillation damping performance through more accurate phasor estimation.

Contribution

It introduces a novel prediction-correction estimation algorithm using a Kalman Filter to improve damping control in power systems.

Findings

Improved damping performance in simulations

Enhanced phasor estimation accuracy

Effective in single-machine and multi-machine systems

Abstract

In this paper, an enhancement to the well known Phasor Power Oscillation Damper is proposed, aiming to increase its performance. Fundamental to the functioning of this controller is the estimation of a phasor representing oscillatory behaviour at a particular frequency in a measured signal. The phasor is transformed to time domain and applied as a setpoint signal to a controllable device. The contribution in this paper specifically targets the estimation algorithm of the controller: It is found that increased estimation accuracy and thereby enhanced damping performance can be achieved by introducing a prediction-correction scheme for the estimator, in the form of a Kalman Filter. The prediction of the phasor at the next step is performed based on the control signal that is applied at the current step. This enables more precise damping of the targeted mode. The presented results, which are obtained from simulations on a Single-Machine Infinite Bus system and the IEEE 39-Bus system, indicate that the proposed enhancement improves the performance of this type of controller.