Naslov
New algorithm for identifying network topology based on artificial neural networks

Autori
Jerčić, Roko ; Pavić, Ivica ; Damjanović, Ivana

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
2nd International Colloquium on Smart Grid Metrology (SMAGRIMET) / Ivšić, Branimir ; Petrović, Goran ; Dadić, Martin - Zagreb : Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu, 2019

ISBN
978-953-184-246-4

Skup
2nd International Colloquium on Smart Grid Metrology (SMAGRIMET 2019)

Mjesto i datum
Split, Hrvatska, 09.04.2019. - 12.04.2019

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
State estimator ; Topology processor ; Network topology ; Wave reflection ; Artificial neural networks

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika

POVEZANOST RADA