A neural network approach for load flow estimation and var allocation

الموضوعات

علوم تطبيقية وتكنولوجية

الملخص

A load flow solution is estimated by a neural network. A one hidden layer neural network is trained to develop a non-iterative solution of the power flow problem. The effect of line outages and transformer taps on the load flow estimation is taken into consideration, during the training process. The trained neural network represents the power system model relating injected powers to output voltage amplitudes and angles. The neural network model is used for var/voltage control through a novel method of using the backpropagation learning algorithm. Power loss minimization is included as a var/voltage control requirement. The power systems studied in this thesis are a sample 6-bus and the IEEE 14-bus systems. Testing results of the neural network model have shown an excellent agreement with results obtained from the various iterative techniques. Moreover the neural network model was successfully used in a var allocation scheme that weighs the various var/voltage sources differently. The neural network model provides a simple non-iterative technique for the solution of the power system equations. The model can be extremely useful in such cases where the sensitivity matrix is required to be calculated in power system control applications.

روابط وملفات

التعريف والنوع

رقم الوثيقة

0e1463ad-b856-4d2b-99a4-b17840ab5182

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل ماجيستير

نوع الملف

pdf text

أسماء الملفات

849767_1.pdf

بيانات النشر

ترجمة العنوان

استخدام الشبكات العصبية لتقدير انسياب الأحمال وتوزيع القدرة المفاعلة

ألقاب المؤلفين

[{"name_ar":"Samir Ahmed Zainaddin","title_ar":"اعداد","title_en":"Preparation"},{"name_ar":"Y.L. Abdel Magid","title_ar":"اشراف","title_en":"Supervision"}]

اللغة

English

المصدر والدورية

اسم المصدر

A neural network approach for load flow estimation and var allocation

المحتوى والصفحات

عدد الصفحات

0

كلمات الباحثين

Load flow solution, Neural network, Var/voltage control, Power loss minimization, 6-bus system, IEEE 14-bus system.

إشراف وإعداد

الإشراف

Y.L. Abdel Magid

الإعداد

Samir Ahmed Zainaddin

الاقتباسات الببليوغرافية