The Control of Inverse Time-Overcurrent Relay by Ann (Artificial Neural Networks) for Automation of A System

GÜLEZ K., YUMURTACI R., UZUNOĞLU M.

6th International Conference on Optimization of Electrical and Electronic Equipments, OPTIM 1998, Brasov, Romania, 14 - 15 May 1998, vol.1, pp.241-244 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 1
  • Doi Number: 10.1109/optim.1998.710480
  • City: Brasov
  • Country: Romania
  • Page Numbers: pp.241-244
  • Keywords: ANN, do not trip (1), inverse time characteristic, Overcurrent relay, simulation, time delay 11) I IP no fault is zone
  • Yıldız Technical University Affiliated: Yes

Abstract

Overcurrent relays can be used to protect practically any power system element. If the operating time of a relay depends on the current magnitude being smallest when the current is the greatest. Such a characteristic is known as an inverse time characteristic and the relay is known as an inverse time overcurrent relay. It is not possible to show the inverse time-overcurrent relay operating characteristic with a determined function. In this paper the characteristic of inverse time-overcurrenl relay (t=f(I)J is obtained by means of artificial neural networks (ANN). ANN is successfully used in a lot of areas such as fault detection' control and signal processing. One of the major paradigms of ANN is feed-forward network. For this paper' it is used feed-forward network and error backpropagation algorithm.