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Register a new userAssess Power System Voltage Stability Using Neural Networks
تقييم استقرار التوتر لنظام القدرة الكهربائية باستخدام الشبكات العصبونية الصنعية
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Aِl-Baath University ورقة بحثية
Publication date
2016
fields
Electrical Power Engineering
and research's language is
العربية
Authors
شاهناز أحمد( باحث )
Created by
Shamra Editor
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قمنا من خلال هذا البحث بتصميم برنامج يهدف إلى تحديد النقاط الحرجة التي يمكن أن تسبب إنهيار التوتر، و بناء شبكة عصبونية ضمن بيئة برمجيات ماتلاب مهمتها التنبؤ بقيمة الاستطاعة العظمى التي يمكن نقلها على نظام القدرة الكهربائية في ظروف انهيار التوتر دون أن ينهار نظام القدرة، و تدريبها على حالات واقعية تعرضت لها أنظمة القدرة الكهربائية، ثم قمنا بتطبيق هذه الشبكة العصبونية المدربة على شبكة مرجعية IEEE-14 Bus-bar لإختبار أدائها و مقارنة النتائج.
The contribution of our research include building an artificial neural network in MATLAB program environment and improvement of maximum loading point algorithm, to compute the most critical voltage stability margin, for on-line voltage stability assessment, and a method to approximate the most critical voltage stability margin accurately. a method to create a (ARTIFICIAL NEURAL NETWORK) approach.
References used
Carson W. Taylor, 1994-Power System Voltage Stability by McGraw-Hill, Inc
Flatabo, N.;Ognedal, R.;Carlsen, T. Nov. 1990-Voltage Stability Condition in Power Transmission System Calculated by Sensitivity Methods IEEE Transactions, Volume: 5 Issue: 4
James A. Momoh and El-Hawary Mohamed E.-Electric Systems,Dynamics, and Stability with Artificial Intelligence Applications.Marcel Dekker.Inc, New York,356P
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