Publication detail

Model Parameters Optimization for State Assessment of Power Oil Transformers

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

English title

Model Parameters Optimization for State Assessment of Power Oil Transformers

Type

Peer-reviewed article not indexed in WoS or Scopus

Language

en

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 in English

Power Oil Transformer, Fuzzy model, DGA, Optimization

Released

2012-12-12

ISSN

1214-7044

Volume

7

Number

2012

Pages from–to

1–13

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"
}