Szczegóły publikacji
Opis bibliograficzny
Contactless measurement of substation busbars voltages and waveforms reconstruction using electric field sensors and artificial neural network / Dariusz BORKOWSKI, Andrzej WETULA, Andrzej BIEŃ // IEEE Transactions on Smart Grid ; ISSN 1949-3053. — 2015 — vol. 6 no. 3, s. 1560–1569. — Bibliogr. s. 1568–1569, Abstr.
Autorzy (3)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 88876 |
|---|---|
| Data dodania do BaDAP | 2015-05-06 |
| Tekst źródłowy | URL |
| DOI | 10.1109/TSG.2014.2363294 |
| Rok publikacji | 2015 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp | |
| Czasopismo/seria | IEEE Transactions on Smart Grid |
Abstract
This paper presents a method for contactless measurement of instantaneous voltage and waveform reconstruction for use in a medium voltage (MV) indoor substation. Voltage waveforms are reconstructed by artificial neural network (ANN) using the signals originating from electric field sensors located under MV bus. The method is validated by the experiment in a typical indoor MV substation. Depending on the selection of ANN architecture and data used for training the root mean squared error of waveforms, reconstruction as low as 0.3% to 2.1% can be achieved in a steady state. The practical advice on the application of the proposed measurement method in a production environment is also given.