CIVILICA We Respect the Science
(ناشر تخصصی کنفرانسهای کشور / شماره مجوز انتشارات از وزارت فرهنگ و ارشاد اسلامی: ۸۹۷۱)

Optimal probabilistic scheduling of charge/discharge EV stations in micro-grid considering renewable energy generations uncertainties

عنوان مقاله: Optimal probabilistic scheduling of charge/discharge EV stations in micro-grid considering renewable energy generations uncertainties
شناسه ملی مقاله: NREAS03_026
منتشر شده در سومین کنفرانس ملی پژوهش های نوین در مهندسی و علوم کاربردی در سال 1400
مشخصات نویسندگان مقاله:

Mohammad Zand - Young Researchers and Elite club, Hamedan Branch, Islamic Azad University, Hamedan, Iran
Mozhdeh Souri - Department of Electrical Engineering, of Pooyesh Qom Higher Education Institute, Qom, Iran
Hamid Reza Hanif - Iran University of Science & Technology
Mohammad Moradtalab - Young Researchers and Elite club, Hamedan Branch, Islamic Azad University, Hamedan, Iran
Morteza Azimi Nasab - Young Researchers and Elite club, Hamedan Branch, Islamic Azad University, Hamedan, Iran

خلاصه مقاله:
The issue of simultaneous planning of electric vehicles and distributed generation resources has received more attention from energy researchers in recent years. Scattered renewable sources do not have a certain amount of production and, according to research, follow possible mathematical functions. Renewable energy sources are modeled on wind and solar production, both of which are moderately generated per hour. In this study, using particle aggregation algorithm and with proper microgrid planning and charging / discharging of electric vehicles, the profitability of the microgrid operator increased to an acceptable level, the voltage profile was improved and network losses were reduced. Finally, the results curves and tables show the efficiency of the proposed method.

کلمات کلیدی:
energy generations uncertainties, micro-grid, DC microgrids

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1306415/