دانلود مقاله ISI انگلیسی شماره 57354
عنوان فارسی مقاله

مدیریت تراکم با مدل بار عمومی در بازارهای برق ترکیبی با ادوات FACTS

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
57354 2014 15 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Congestion management with generic load model in hybrid electricity markets with FACTS devices
منبع

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

Journal : International Journal of Electrical Power & Energy Systems, Volume 57, May 2014, Pages 49–63

کلمات کلیدی
توزیع دوباره ژنراتور - مدیریت تراکم؛ ادوات FACTS؛ بازار برق ترکیبی
پیش نمایش مقاله
پیش نمایش مقاله مدیریت تراکم با مدل بار عمومی در بازارهای برق ترکیبی با ادوات FACTS

چکیده انگلیسی

The load variations during the entire day specially during the peak hours have substantial impact on the loading pattern of the transmission system. The voltage profile become poor during such situation of peak loading of the network and can lead to congestion during such events. This paper attempts congestion management considering the impact of constant impedance, current, and power (ZIP) load model along with the load variation pattern in a day-a-head hybrid electricity market. The main contribution of the proposed work is: (i) Optimal rescheduling based congestion management for a hybrid market model with three bid offer from generators, (ii) study of the impact of ZIP load model and load variations on rescheduling and congestion cost, (iii) impact of third generation FACTS devices on congestion management, (iv) comparison of results obtained for hybrid market model without and with ZIP load model. The generators offer three block bid structure to the ISO in a day-a-head market for congestion management. The base case economic load dispatch has been obtained for generators and is taken as base case generation output data during the congestion management to obtain new generation schedule. The three block bid structure submitted to the ISO has been modeled as a linear bid curve which is a function of increment/decrement (inc./dec.) of generation within the upper and lower bounds offered for congestion management. The results have been obtained for IEEE 24 bus test systems.

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