New algorithm for identifying network topology based on artificial neural networks (CROSBI ID 689687)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Jerčić, Roko ; Pavić, Ivica ; Damjanović, Ivana
engleski
New algorithm for identifying network topology based on artificial neural networks
Correct insight and interpretation of the network topology are crucial task of any state estimator. In order to improve state estimators accuracy and speed, a new approach of determining network topology is presented. Presented method is based on measurement of the injected test signal reflection from the impedance discontinuities in the network. Correct interpretation of the measured reflected signal gives possibility to determine the network topology at the reflection site. This paper presents interpretation of the reflected signal by the developed artificial neural network (ANN). The ANN system has been used for identifying a network topology of modeled and simulated certain part of Croatian transmission system. The results are displayed as a receiver operating characteristic (ROC) curve form for the best and worst prediction case.
State estimator ; Topology processor ; Network topology ; Wave reflection ; Artificial neural networks
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
103
2019.
objavljeno
Podaci o matičnoj publikaciji
Ivšić, Branimir ; Petrović, Goran ; Dadić, Martin
Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu
978-953-184-246-4
Podaci o skupu
2ND INTERNATIONAL COLLOQUIUM ON SMART GRID METROLOGY (SMAGRIMET) 2019
predavanje
09.04.2019-12.04.2019
Split, Hrvatska