On the problem of optimal estimation of balanced and symmetric three-phase signals. (October 2017)

• Record Type: Journal Article
• Authors: Liboni, Luisa Helena Bartocci; de Oliveira, Mauricio C.; da Silva, Ivan Nunes
• Is Part Of: International journal of electrical power & energy systems. Volume 91(2017)
• Page Start: 155
• Page End: 165
• Publication Date: 2017-10
• Subjects: Phasor estimation -- Optimal filtering -- Kalman filter -- Balanced and symmetric three-phase signals; Electrical engineering -- Periodicals; Electric power systems -- Periodicals; Électrotechnique -- Périodiques; Réseaux électriques (Énergie) -- Périodiques; Electric power systems; Electrical engineering; Periodicals; 621.3
• DOI: 10.1016/j.ijepes.2017.03.002
• Languages: English
• ISSNs: 0142-0615

Abstract

Highlights: Standard practice disregards zero-component of Clarke transformed three-phase signals. Discarding the zero-component leads to sub-optimal performance of Kalman filter. Suboptimality extends to complex Kalman filters. Optimality can be recovered if the zero-component is properly taken into account. Provides unified set of guidelines or best practices for optimal Kalman estimators. Abstract: This paper revisits the fundamental problem of optimal estimation of the magnitude and phase of balanced and symmetric three-phase voltage or current signals. We analyze and compare various setups for the corresponding optimal Kalman filter, including the direct use of three-phase measurements, as well as measurements subjected to the Clarke transform in real or complex form. One contribution is to show that the standard practice of disregarding the transformed zero-component of the Clarke transformed three-phase signal almost always leads to a sub-optimal performance of the Kalman estimator. Our analysis extends to show that the closely related complex Kalman estimator is also sub-optimal and that optimal performance can be recovered if the zero-component is made available to the filter provided that the noises are properly characterized. These results are illustrated by means of simple numerical examples, which also highlight the importance of correctly modeling the noise characteristics if a real or complex form of the Clarke transformation is to be used. We conclude the paper with a unified set of guidelines or best practices regarding the use of optimal Kalman estimators for balanced and symmetric three-phase signals.