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APPLICATION OF ARTIFICIAL NEURAL NETWORKS FOR EXTERNAL NETWORK EQUIVALENT MODELING

IVICA PAVIĆ ; University of Zagreb Faculty of Electrical Engineering and Computing
FRANO TOMAŠEVIĆ ; University of Zagreb Faculty of Electrical Engineering and Computing
IVANA DAMJANOVIĆ ; University of Zagreb Faculty of Electrical Engineering and Computing

Sažetak

In this paper an artificial neural network (ANN) based methodology is proposed
for determining an external network equivalent. The modified Newton-Raphson
method with constant interchange of total active power between internal and external
system is used for solving the load flow problem. A multilayer perceptron (MLP) with
backpropagation training algorithm is applied for external network determination.
The proposed methodology was tested with the IEEE 24-bus test network and
simulation results show a very good performance of the ANN for external network
modeling.

Ključne riječi

External Network Equivalent; Load Flow Analysis; Artificial Neural Network

Hrčak ID:

199289

URI

https://hrcak.srce.hr/199289

Datum izdavanja:

15.9.2017.

Posjeta: 762 *