Fault location estimation of Kurdistan power system using ANN

Author

Muhammad, Aree A.

Source

ZANCO Journal of Pure and Applied Sciences

Publisher

Salahaddin University-Erbil Department of Scientific Publications

Publication Date

2016-06-30

Country of Publication

Iraq

No. of Pages

9

Main Subjects

Electronic engineering

English Abstract

This paper deals with one of the most powerful technique which is application of Artificial Neural Networks (ANNs) to detect, locate and specify type of the fault in high voltage transmission lines of Kurdistan power system.

The proposed fault detector and locator were trained using various sets of data available from a selected power network model and simulating different fault scenarios (fault type) and different power system data.

Different fault locators are proposed and carried out in order to determine which ANN fault locator structure leads to the best performance.

Data Type

Conference Papers

Record ID

BIM-786725

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