Three-Phase State Estimation of a Low-Voltage Distribution Network with Kalman Filter

• Published in: Energies (Basel) Vol. 14; no. 21; p. 7421
• Main Authors: Napolitano, Fabio, Rios Penaloza, Juan Diego, Tossani, Fabio, Borghetti, Alberto, Nucci, Carlo Alberto
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.11.2021
• Subjects: Algorithms; Automation; Buses; distribution management system; distribution network; Kalman filter; Noise; Probability distribution; smart meters; state estimation; weighted least squares
• ISSN: 1996-1073; 1996-1073
• DOI: 10.3390/en14217421

The state estimation of distribution networks has long been considered a challenging task for the reduced availability of real-time measures with respect to the transmission network case. This issue is expected to be improved by the deployment of modern smart meters that can be polled at relatively short time intervals. On the other hand, the management of the information coming from many heterogeneous meters still poses major issues. If low-voltage distribution systems are of interest, a three-phase formulation should be employed for the state estimation due to the typical load imbalance. Moreover, smart meter data may not be perfectly synchronized. This paper presents the implementation of a three-phase state estimation algorithm of a real portion of a low-voltage distribution network with distributed generation equipped with smart meters. The paper compares the typical state estimation algorithm that implements the weighted least squares method with an algorithm based on an iterated Kalman filter. The influence of nonsynchronicity of measurements and of delays in communication and processing is analyzed for both approaches.