Neurofuzzy Based on PLC Controllers With Parallel Processing for fault Location of the Distribution Line  

Oleh:

Tipsuwanporn, V. ; Suesut, T. ; Thongnopakun, K. ; Kulphanich, K. ; Rukkaphan, S.

Jenis: Article from Article
Dalam koleksi: Final Program and Book of Abstracts: The 4th Asian Control Conference, September 25-27, 2002 (Sep. 2002), page 1379-1382.
Topik: Neurofuzzy; PLC Controllers; Parallel Processing; Parallel Architecture
Fulltext: AC021634.PDF (218.05KB)

Isi artikel

In a short time of fault clearing is reduced effect to consumers, which also increase stability and reliability. In this paper presents the application of Neurofuzzy for fault locator analysis by using Programmable Logic Controllers (PLCs) with a multi high-level language processor to be a parallel architecture. A high-level language module use as the fuzzy controller and the adjustment of membership function can-be done by the off-line training of Neurofuzzy on microcomputer. The training data was collected from the Nakhonpathom province substation, current fault, temperature and relative humidity (%RH). The running mode employs input data on-line from transducer to analog input module and use dual high-level language module together with Ladder Programming for fault position calculating. Finally, the fault position is shown on display.

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