Accurate Fault Classifier and Locator for EHV Transmission Lines Based on Artificial Neural Networks
المؤلفون المشاركون
Ben Saber, Souad
Ben Hessine, Moez
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-19، 19ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-07-15
دولة النشر
مصر
عدد الصفحات
19
التخصصات الرئيسية
الملخص EN
The ability to identify the fault type and to locate the fault in extra high voltage transmission lines is very important for the economic operation of modern power systems.
Accurate algorithms for fault classification and location based on artificial neural network are suggested in this paper.
Two fault classification algorithms are presented; the first one uses the single ANN approach and the second one uses the modular ANN approach.
A comparative study of two classifiers is done in order to choose which ANN fault classifier structure leads to the best performance.
Design and implementation of modular ANN-based fault locator are presented.
Three fault locators are proposed and a comparative study of the three fault locators is carried out in order to determine which fault locator architecture leads to the accurate fault location.
Instantaneous current and/or voltage samples were used as inputs to ANNs.
For fault classification, only the pre-fault and post-fault samples of three-phase currents were used.
For fault location, pre-fault and post-fault samples of three-phase currents and/or voltages were used.
The proposed algorithms were evaluated under different fault scenarios.
Studied simulation results which are presented confirm the effectiveness of the proposed algorithms.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Ben Hessine, Moez& Ben Saber, Souad. 2014. Accurate Fault Classifier and Locator for EHV Transmission Lines Based on Artificial Neural Networks. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-19.
https://search.emarefa.net/detail/BIM-456557
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Ben Hessine, Moez& Ben Saber, Souad. Accurate Fault Classifier and Locator for EHV Transmission Lines Based on Artificial Neural Networks. Mathematical Problems in Engineering No. 2014 (2014), pp.1-19.
https://search.emarefa.net/detail/BIM-456557
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Ben Hessine, Moez& Ben Saber, Souad. Accurate Fault Classifier and Locator for EHV Transmission Lines Based on Artificial Neural Networks. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-19.
https://search.emarefa.net/detail/BIM-456557
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-456557
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر