تفاصيل الوثيقة

نوع الوثيقة : مقال في مجلة دورية 
عنوان الوثيقة :
An application of model predictive control to the dynamic economic dispatch of power generation
An application of model predictive control to the dynamic economic dispatch of power generation
 
الموضوع : رياضيات 
لغة الوثيقة : الانجليزية 
المستخلص : Two formulations exist for the problem of the optimal power dispatch of generators with ramp rate constraints: the optimal control dynamic dispatch (OCDD) formulation based on control system models, and the dynamic economic dispatch (DED) formulation based on optimization. Both are useful for the dispatch problem over a fixed time horizon, and they were treated as equivalent formulations in literature. This paper first shows that the two formulations are in fact different and both formulations suffer from the same technical deficiency of ramp rate violation during the periodic implementation of the optimal solutions. Then a model predictive control (MPC) approach is proposed to overcome such a technical deficiency. Furthermore, it is shown that the MPC solutions, which are based on the OCDD framework, converge to the optimal solution of an extended version of the DED problem and they are robust under certain disturbances and uncertainties. Two standard examples are studied: the first one of a ten-unit system shows the difference between the OCDD and DED, and possible ramp rate violations, and the second one of a six-unit system shows the convergence and robustness of the MPC solutions, and the comparison with OCDD as well. 
ردمد : 0967-0661 
اسم الدورية : Control Engineering Practice 
المجلد : 19 
العدد : 6 
سنة النشر : 1432 هـ
2011 م 
نوع المقالة : مقالة علمية 
تاريخ الاضافة على الموقع : Wednesday, June 6, 2012 

الباحثون

اسم الباحث (عربي)اسم الباحث (انجليزي)نوع الباحثالمرتبة العلميةالبريد الالكتروني
Xiaohua XiaXia, Xiaohua باحثدكتوراهxxia@postino.up.ac.za
Jiangfeng ZhangZhang, Jiangfeng باحثدكتوراه 
أحمد محمد عليوElaiw, Ahmed Mباحثدكتوراهa_m_elaiw@yahoo.com

الملفات

اسم الملفالنوعالوصف
 33520.pdf pdfAbstract

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