The paper illustrates the development and the implementation of a Distribution State Estimation (DSE) algorithm for the Low Voltage Test Facility with Distributed Energy Resources of the Italian Research center RSE. The algorithm is integrated into a Distribution Management System within the control system of the Test Site organized as a microgrid. The Test Facility is equipped with conventional and renewable generation plants, storage systems and programmable loads. Switching boxes allow to obtain a very high number of different topology configurations. The paper shows details of the methodologies and theoretical bases adopted for the algorithm design, implementation and testing of a two level state estimation procedure. Simulation and comparison with field results allow the evaluation of the power contributions to total nodal injections, in all the possible grid configurations.
Implementation of a distribution state estimation algorithm on a low voltage test facility with distributed energy resources
D'Agostino F.;Massucco S.;Silvestro F.;
2017-01-01
Abstract
The paper illustrates the development and the implementation of a Distribution State Estimation (DSE) algorithm for the Low Voltage Test Facility with Distributed Energy Resources of the Italian Research center RSE. The algorithm is integrated into a Distribution Management System within the control system of the Test Site organized as a microgrid. The Test Facility is equipped with conventional and renewable generation plants, storage systems and programmable loads. Switching boxes allow to obtain a very high number of different topology configurations. The paper shows details of the methodologies and theoretical bases adopted for the algorithm design, implementation and testing of a two level state estimation procedure. Simulation and comparison with field results allow the evaluation of the power contributions to total nodal injections, in all the possible grid configurations.File | Dimensione | Formato | |
---|---|---|---|
07856230.pdf
accesso chiuso
Tipologia:
Documento in versione editoriale
Dimensione
2.49 MB
Formato
Adobe PDF
|
2.49 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.