کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8078576 | 1521480 | 2014 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Multi-objective probabilistic reactive power and voltage control with wind site correlations
ترجمه فارسی عنوان
قدرت واکنش احتمالی چند هدفه و کنترل ولتاژ با همبستگی های باد
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کلمات کلیدی
بهینه سازی تغذیه اصلاح شده زنبور عسل، مشکل بهینه سازی چند هدفه روش های برآورد نقطه، قدرت واکنش پذیری و کنترل ولتاژ، همبستگی شبکه باد،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی (عمومی)
چکیده انگلیسی
This paper proposes a multi-objective probabilistic reactive power and voltage control in distribution networks using wind turbines, hydro turbines, fuel cells, static compensators and load tap changing transforms. The objective functions are total electrical energy costs, the electrical energy losses, total emissions produced, and voltage deviations during the next day. Since the wind sources and load demand have intermittent characteristics, a probabilistic load flow based on 2m + 1 point estimated method is used to investigate the objective functions. The correlation in wind speed is considered as the distances between WTs are not large in distribution systems. Furthermore, a multi-objective modified bee swarm optimization is proposed to solve the optimization problem by defining a set of non-dominated points as the solutions. A fuzzy based clustering is used to control the size of the repository and a niching method is utilized to choose the best solution during the optimization process. Performance of the proposed algorithm is tested on a 69-bus distribution feeder. The results confirm the necessity of modeling the reactive power and voltage control problem in a stochastic framework. Also, the effects of wind site correlations on different objective functions are discussed completely.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy - Volume 66, 1 March 2014, Pages 810-822
Journal: Energy - Volume 66, 1 March 2014, Pages 810-822
نویسندگان
Mohsen Zare, Taher Niknam, Rasoul Azizipanah-Abarghooee, Babak Amiri,