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Register a new userتحسين الاستقرار الديناميكي لأنظمة الطاقة الكهربائية عبر مخمد اهتزاز يعتمد في عمله على دمج التحكم الأمثل مع مضخم عملياتي متقدم
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محمد عبد الحميد( باحث )
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إن الهدف من هذا البحث هو تحسين الاستقرار الديناميكي لأنظمة الطاقة الكهربائية عبر تقديم الإخماد الإضافي إلى دارة التحكم بالتهييج عن طريق مخمد اهتزاز يعتمد في عمله على دمج الإشارة المقدمة من دارة مضخم عملياتي متقدم مع إشارة التغذية العكسية السالبة التي يتم الحصول عليها من حل معادلة Riccati . حيث تمثل إشارة التحكم هذه نسباً مختلفة من متغيرات الحالة للنظام المدروس. لاختبار فعالية الطريقة المقترحة، تم تطبيق الدراسة على نظام للطاقة الكهربائية مؤلف من آلة متواقتة موصولة إلى قضيب تجميع لانهائي عبر خط نقل للقدرة. لقد تم بناء النموذج الرياضي الخطي لنظام الطاقة من الدرجة الرابعة، و تمت دراسة الاستجابة الزمنية لمتغيرات الحالة لهذا النظام. لقد بينت الدراسة أن الطريقة المقترحة قد أعطت تخامداً سالباً كافياً لتحسين استقرار النظام و تقليل الاهتزازات الناشئة نتيجة الاضطرابات.
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References used
de Mello, F. P. and T.F. Laskowski, ‘’Concepts of Power System Dynamic Stability’’, IEEE Trans. On Power Apparatus and Systems, Vol. PAS-94, 1979, pp.827-833
Dandeno, P. L. , A. N. Kars, K. R. Mcclymont and W. Waston, ‘’ Effect of High-Speed rectifier excitation System on Generator Stability Limits’’, IEEE Trans. On Power Apparatus and Systems, Vol. PAS-87, 1968, pp. 190-200
Hoa Vu., J. C. Agee, ‘’ Comparision of Power System Stabilizers for Damping Local Mode Oscillations’’ IEEE Trans. On Energy Conversion, Vol. 8, No. 3, September 1993, pp 533-538
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necessary for cement production ,Whereas , the
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Incorporating lexical knowledge into deep learning models has been proved to be very effective for sequence labeling tasks. However, previous works commonly have difficulty dealing with large-scale dynamic lexicons which often cause excessive matchin
g noise and problems of frequent updates. In this paper, we propose DyLex, a plug-in lexicon incorporation approach for BERT based sequence labeling tasks. Instead of leveraging embeddings of words in the lexicon as in conventional methods, we adopt word-agnostic tag embeddings to avoid re-training the representation while updating the lexicon. Moreover, we employ an effective supervised lexical knowledge denoising method to smooth out matching noise. Finally, we introduce a col-wise attention based knowledge fusion mechanism to guarantee the pluggability of the proposed framework. Experiments on ten datasets of three tasks show that the proposed framework achieves new SOTA, even with very large scale lexicons.
يرتبط الاستقرار الساكن بالسلوك الديناميكي لنظام القدرة الكهربائية بعد تعرضه لاضطرابات خفيفة
مثل تغيرات في الأحمال أو التوليد أو فصل بعض التجهيزات.. الخ.
تم في هذا البحث تحليل معادلات الحالة الحدية للشبكة الكهربائية و الاستقرار الساكن، و استناداً إل
ى ذلك
قدمنا أسلوباً لتقييم هذا الاستقرار يعتمد على تغير إشارة مصفوفة اليعقوبي خلال عمليات التكرار
لحساب جريان الحمولة.
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using on-off technique. As well as, to respond to any change in the number of people and
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the fault location and network topology transforming caused by double circuits of overhead lines.
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