Application of optimization techniques in development of new protection algorithms for MV distribution feeders
Application of optimization techniques in development of new protection algorithms for MV distribution feeders
- Author(s): M. Lukowicz ; P. Wicher ; B. Wiecha
- DOI: 10.1049/cp.2014.0117
For access to this article, please select a purchase option:
Buy conference paper PDF
Buy Knowledge Pack
IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.
12th IET International Conference on Developments in Power System Protection (DPSP 2014) — Recommend this title to your library
Thank you
Your recommendation has been sent to your librarian.
- Author(s): M. Lukowicz ; P. Wicher ; B. Wiecha Source: 12th IET International Conference on Developments in Power System Protection (DPSP 2014), 2014 page ()
- Conference: 12th IET International Conference on Developments in Power System Protection (DPSP 2014)
- DOI: 10.1049/cp.2014.0117
- ISBN: 978-1-84919-834-9
- Location: Copenhagen, Denmark
- Conference date: 31 March-3 April 2014
- Format: PDF
Application of new architectures of Artificial Neural Networks (ANN) in detection of arcing high impedance faults in MV distribution networks is presented in the paper. These new computational schemes can be used to reliable HIF detection in ungrounded, grounded using a Petersen coil and grounded via resistance distribution networks. The algorithms are tested using data obtained from computer simulations of the network modelled in EMTP-ATP. Small number of necessary neurons in a developed ANN, short measuring data window and easy to interpret output signals are the main advantages of the proposed approach. Satisfactory results of ANN performance were observed for all examined HIF cases.
Inspec keywords: electric resistance; power distribution reliability; coils; arcs (electric); fault diagnosis; power distribution protection; neural nets; EMTP; optimisation; power distribution faults
Subjects: Inductors and transformers; Power engineering computing; Power system protection; Optimisation techniques; Distribution networks; Optimisation techniques; Reliability; Neural computing techniques
Related content
content/conferences/10.1049/cp.2014.0117
pub_keyword,iet_inspecKeyword,pub_concept
6
6