دانلود مقاله ISI انگلیسی شماره 146886
ترجمه فارسی عنوان مقاله

الگوریتم بهینه سازی مورچه برای اندازه گیری بهینه منابع انرژی تجدید پذیر برای کاهش تلفات در سیستم های توزیع

عنوان انگلیسی
Ant Lion optimization algorithm for optimal sizing of renewable energy resources for loss reduction in distribution systems
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
146886 2017 31 صفحه PDF
منبع

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

Journal : Journal of Electrical Systems and Information Technology, Available online 30 June 2017

پیش نمایش مقاله
پیش نمایش مقاله  الگوریتم بهینه سازی مورچه برای اندازه گیری بهینه منابع انرژی تجدید پذیر برای کاهش تلفات در سیستم های توزیع

چکیده انگلیسی

This paper mainly focused on the impact of distributed generation (DG) placement on distribution system. The integration of DG is transforming the traditional radial distribution system into a multi-source system. Distributed generation is a term that refers to the production of electricity near the consumption place. The effects of distributed generation are short circuit levels are increased, load losses change, reliability change and voltage profiles change along the network. The above advantages can be accomplished by ideal position and sizing of DG units. The ideal positions are obtained from index vector method. Ant Lion Optimization (ALO), a novel meta heuristic algorithm is used to determine the optimal DG size. ALO is modeled based on the unique hunting behavior of ant lions. The ALO algorithm is evaluated on IEEE 15, 33, 69 and 85-bus test systems. ALO algorithm was compared with different types of DG units and other evolutionary algorithms. When compared with other algorithms the ALO algorithm gives better results. From the analysis best results have been achieved from type III DG operating at 0.9 pf.