Publication detail

Model Parameters Optimization for State Assessment of Power Oil Transformers

HAMMER, M. JANDA, O. ERTL, J.

Original Title

Model Parameters Optimization for State Assessment of Power Oil Transformers

Type

journal article - other

Language

English

Original Abstract

This paper describes the optimization module of the di-agnostic system. The basic optimization principles are presented by means of the artificial intelligence algorithms, especially those which are based on the evolutionary systems. We can rank among them the genetic algorithms, differential evolution and PSO algorithm. The objective of this paper is to compare such algorithms for possible applications in the diagnostic field and the assessment of state in technical systems. The optimization performance is shown on a group of test functions, and consequently on the example of the fuzzy DGA model optimization which can be used for the evaluation of state of power oil transformers.

Keywords

Power Oil Transformer, Fuzzy model, DGA, Optimization

Authors

HAMMER, M.; JANDA, O.; ERTL, J.

RIV year

2012

Released

12. 12. 2012

ISBN

1214-7044

Periodical

Energyspectrum - International e-Journal, www.energyspectrum.net

Year of study

7

Number

2012

State

Czech Republic

Pages from

1

Pages to

13

Pages count

13

BibTex

@article{BUT95808,
  author="Miloš {Hammer} and Ondřej {Janda} and Jakub {Ertl}",
  title="Model Parameters Optimization for State Assessment of Power Oil Transformers",
  journal="Energyspectrum - International e-Journal, www.energyspectrum.net",
  year="2012",
  volume="7",
  number="2012",
  pages="1--13",
  issn="1214-7044"
}