دانلود مقاله ISI انگلیسی شماره 56415
ترجمه فارسی عنوان مقاله

یک الگوریتم تقویت کننده شبیه به چند هدفه اعزام نیروی فعال / واکنش بهینه با توجه به عدم قطعیت

عنوان انگلیسی
An enhanced firefly algorithm to multi-objective optimal active/reactive power dispatch with uncertainties consideration
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
56415 2015 10 صفحه PDF
منبع

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

Journal : International Journal of Electrical Power & Energy Systems, Volume 64, January 2015, Pages 1088–1097

ترجمه کلمات کلیدی
اعزام قدرت راکتیو مطلوب، جریان قدرت مطلوب، خازن بار شیر تغییرکار، الگوریتم پیشرفته کرم شب تاب
کلمات کلیدی انگلیسی
Optimal reactive power dispatch; Optimal power flow; Capacitor; Load tap changer; Enhanced firefly algorithm

چکیده انگلیسی

This paper presents an enhanced firefly algorithm for solving multi-objective optimal active and reactive power dispatch problems with load and wind generation uncertainties. The optimal dispatches of active and reactive power were considered simultaneously. In reactive power dispatch, the load tap changer positions of transformers, the reactive power injection of capacitors, and the voltages of slack bus and PV buses are controlled to reduce the transmission line losses and the voltage deviations of load buses. In active power dispatch, economic dispatch including losses is used to obtain the active power outputs of thermal generating units and to decrease the fuel costs. The proposed algorithm was based on a firefly algorithm, the formula and parameters of which were updated and modified, and a mutation strategy and local random search were used to enhance the exploration and search capabilities of the algorithm. The IEEE 30-bus system was used to demonstrate the effectiveness of the proposed method for solving multi-objective optimal active and reactive power dispatch problems while considering uncertainties. The results of the proposed method were compared with the results of other algorithms. The results showed that the proposed method achieved a more favorable solution than the other algorithms.