Analysis of power losses in energy transmission systems including linear load by using artificial neural networks

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Date

1998

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Publisher

IEEE

Abstract

This paper presents the application of artificial neural networks(ANN) for analysis of power losses in an energy transmission network. Problem formulation and design of ANN for loss analysis is described. Due to the capability of parallel information processing of the ANN, the proposed method is fast and yet accurate. Active and reactive powers of generators and loads, as well as the magnitudes of voltages at voltage-controlled buses are chosen as inputs to the ANN. System power losses are chosen as the outputs. Training data are obtain by load flow studies. Load flow studies for different system topologies are carried out and the results are compiled to form the training set. Numerical results are presented in the study to demonstrate the effectiveness of the proposed algorithm in terms of accuracy and speed.

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Keywords

Algorithms , Approximation theory , Electric generators , Electric load flow , Electric loads , Electric losses , Electric network topology , Electric power transmission networks , Functions , Reactive power , Active power , Voltage controlled buses , Neural networks

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http://akademikarsiv.cbu.edu.tr:4000/handle/123456789/20582

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