دانلود مقاله ISI انگلیسی شماره 57551
ترجمه فارسی عنوان مقاله

مقایسه ترانسفورماتور Sen و UPFC برای مدیریت تراکم در بازارهای برق هیبریدی

عنوان انگلیسی
Comparison of Sen Transformer and UPFC for congestion management in hybrid electricity markets
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
57551 2013 10 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : International Journal of Electrical Power & Energy Systems, Volume 47, May 2013, Pages 295–304

ترجمه کلمات کلیدی
مدیریت تراکم؛ بازار برق ترکیبی؛ ترانسفورماتور Sen ؛ کنترل جریان برق یکپارچه؛برنامه ریزی غیرخطی عدد صحیح مختلط
کلمات کلیدی انگلیسی
Bid function; Congestion management; Hybrid electricity market; Sen Transformer; Unified power flow controller; Mixed integer non-linear programming
پیش نمایش مقاله
پیش نمایش مقاله  مقایسه ترانسفورماتور Sen و UPFC برای مدیریت تراکم در بازارهای برق هیبریدی

چکیده انگلیسی

Congestion management (CM) is one of the most important and challenging tasks of the Independent System Operator (ISO) in the deregulated environment. Recently, Sen Transformer (ST) has emerged as an important power flow control device which has the capability of power flow control over a wide range like UPFC. This device with a conventional transformer and tap changers has the capability of bidirectional control of active and reactive power and can play a very important role in future markets for mitigating the congestion problems. In this paper, the capability of ST has been utilized to manage transmission line congestion for hybrid based electricity market model. The main contribution of the paper is: (i) to develop an optimal rescheduling of generators strategy for real time congestion management and impact of ST for congestion management, (ii) the comparison of ST with unified power flow controller (UPFC) for congestion management, (iii) the secure bilateral transactions determination in a hybrid market model and congestion management with both power flow controllers in combined pool and bilateral market model. The optimal location of ST and UPFC has been obtained solving mixed integer non-linear programming model of congestion management. The proposed model has been applied for results on IEEE 24-bus RTS test system.