Automatic generation control by using ANN technique

Aysen Demiroren*, Neslihan S. Sengor, H. Lale Zeynelgil

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

79 Citations (Scopus)

Abstract

This paper investigates an application of layered artificial neural network for automatic generation control of the power system. Computer simulations on the interconnected power system with two areas that include reheater effect and also the governor deadband effect show that the artificial neural network control scheme proposed is effective in damping out oscillations resulted by load perturbations. Only one artificial neural network controller, which controls the inputs of each area in the power system together, is considered. By comparing the obtained results with conventional controllers, it is shown that the performance of artificial neural network controller is better than conventional controllers. In this paper, back propagation-through-time algorithm, is used, as neural network learning rule.

Original languageEnglish
Pages (from-to)883-896
Number of pages14
JournalElectric Power Components and Systems
Volume29
Issue number10
DOIs
Publication statusPublished - Oct 2001

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