Fault location estimation of Kurdistan power system using ANN

المؤلف

Muhammad, Aree A.

المصدر

ZANCO Journal of Pure and Applied Sciences

الناشر

جامعة صلاح الدين قسم النشر العلمي

تاريخ النشر

2016-06-30

دولة النشر

العراق

عدد الصفحات

9

التخصصات الرئيسية

الهندسة الكهربائية

الملخص الإنجليزي

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.

نوع البيانات

أوراق مؤتمرات

رقم السجل

BIM-786725

• APA
• MLA
• AMA