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

Fabio Napolitano, Juan Diego Rios Penaloza, Fabio Tossani, Alberto Borghetti and Carlo Alberto Nucci
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Fabio Napolitano: Department of Electrical, Electronic and Information, Engineering, University of Bologna, 40133 Bologna, Italy
Juan Diego Rios Penaloza: Department of Electrical, Electronic and Information, Engineering, University of Bologna, 40133 Bologna, Italy
Fabio Tossani: Department of Electrical, Electronic and Information, Engineering, University of Bologna, 40133 Bologna, Italy
Alberto Borghetti: Department of Electrical, Electronic and Information, Engineering, University of Bologna, 40133 Bologna, Italy
Carlo Alberto Nucci: Department of Electrical, Electronic and Information, Engineering, University of Bologna, 40133 Bologna, Italy

Energies, 2021, vol. 14, issue 21, 1-19

Abstract: 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.

Keywords: distribution management system; distribution network; Kalman filter; smart meters; state estimation; weighted least squares (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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