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

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...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Fabio Napolitano, Juan Diego Rios Penaloza, Fabio Tossani, Alberto Borghetti, Carlo Alberto Nucci
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	distribution management system distribution network Kalman filter smart meters state estimation weighted least squares Technology T
Acceso en línea:	https://doaj.org/article/ee0d8bd9f1b94d9092d68ffb55350818
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:ee0d8bd9f1b94d9092d68ffb55350818
record_format	dspace
spelling	oai:doaj.org-article:ee0d8bd9f1b94d9092d68ffb553508182021-11-11T16:08:10ZThree-Phase State Estimation of a Low-Voltage Distribution Network with Kalman Filter10.3390/en142174211996-1073https://doaj.org/article/ee0d8bd9f1b94d9092d68ffb553508182021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/21/7421https://doaj.org/toc/1996-1073The 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.Fabio NapolitanoJuan Diego Rios PenalozaFabio TossaniAlberto BorghettiCarlo Alberto NucciMDPI AGarticledistribution management systemdistribution networkKalman filtersmart metersstate estimationweighted least squaresTechnologyTENEnergies, Vol 14, Iss 7421, p 7421 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	distribution management system distribution network Kalman filter smart meters state estimation weighted least squares Technology T
spellingShingle	distribution management system distribution network Kalman filter smart meters state estimation weighted least squares Technology T Fabio Napolitano Juan Diego Rios Penaloza Fabio Tossani Alberto Borghetti Carlo Alberto Nucci Three-Phase State Estimation of a Low-Voltage Distribution Network with Kalman Filter
description	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.
format	article
author	Fabio Napolitano Juan Diego Rios Penaloza Fabio Tossani Alberto Borghetti Carlo Alberto Nucci
author_facet	Fabio Napolitano Juan Diego Rios Penaloza Fabio Tossani Alberto Borghetti Carlo Alberto Nucci
author_sort	Fabio Napolitano
title	Three-Phase State Estimation of a Low-Voltage Distribution Network with Kalman Filter
title_short	Three-Phase State Estimation of a Low-Voltage Distribution Network with Kalman Filter
title_full	Three-Phase State Estimation of a Low-Voltage Distribution Network with Kalman Filter
title_fullStr	Three-Phase State Estimation of a Low-Voltage Distribution Network with Kalman Filter
title_full_unstemmed	Three-Phase State Estimation of a Low-Voltage Distribution Network with Kalman Filter
title_sort	three-phase state estimation of a low-voltage distribution network with kalman filter
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/ee0d8bd9f1b94d9092d68ffb55350818
work_keys_str_mv	AT fabionapolitano threephasestateestimationofalowvoltagedistributionnetworkwithkalmanfilter AT juandiegoriospenaloza threephasestateestimationofalowvoltagedistributionnetworkwithkalmanfilter AT fabiotossani threephasestateestimationofalowvoltagedistributionnetworkwithkalmanfilter AT albertoborghetti threephasestateestimationofalowvoltagedistributionnetworkwithkalmanfilter AT carloalbertonucci threephasestateestimationofalowvoltagedistributionnetworkwithkalmanfilter
_version_	1718432449179942912

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

Ejemplares similares