Original scientific paper

LOAD ANGLE ESTIMATION OF A SYNCHRONOUS GENERATOR USING DYNAMICAL NEURAL NETWORKS

Mato Mišković ; HEP Proizvodnja, HE Dubrovnik, Hrvatska
Gorislav Erceg ; Sveučilište u Zagrebu, Fakultet elektrotehnike i računarstva, Zagreb, Hrvatska
Marija Mirošević ; Sveučilište u Dubrovniku, Dubrovnik, Hrvatska

Abstract

Load angle estimation process of the operating synchronous generator on the power system is defined based on dynamic neural networks. In the process of forming the estimation model the choice of input values and structures of dynamic neural network is explored and defined. Data from recorded responses to the network at standard operating conditions and at malfunctioning of a synchronous generator are used for learning the dynamic neural network. The comparison of the results obtained using the defined method of load angle estimation with the results obtained by measurement, reveals the applicability of the proposed estimation method based on dynamic neural networks.

Keywords

dynamic neural network; estimation; load angle; synchronous generator

Hrčak ID:

40406

URI

https://hrcak.srce.hr/40406

Publication date:

30.4.2009.

Article data in other languages: croatian

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