Original scientific paper
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
Abstract
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.
Keywords
External Network Equivalent; Load Flow Analysis; Artificial Neural Network
Hrčak ID:
199289
URI
Publication date:
15.9.2017.
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