دانلود مقاله ISI انگلیسی شماره 54988
عنوان فارسی مقاله

یک چارچوب محاسباتی برای یکپارچه سازی عدم قطعیت در تعهد واحد تصادفی با منابع انرژی تجدید پذیر متناوب

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
54988 2015 12 صفحه PDF سفارش دهید محاسبه نشده
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
A computational framework for uncertainty integration in stochastic unit commitment with intermittent renewable energy sources
منبع

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

Journal : Applied Energy, Volume 152, 15 August 2015, Pages 71–82

کلمات کلیدی
ادغام عدم اطمینان؛ نسل سناریو؛ انرژی تجدید پذیر؛ فاصله پیش بینی؛ تعهد واحد؛ الگوریتم ژنتیک
پیش نمایش مقاله
پیش نمایش مقاله یک چارچوب محاسباتی برای یکپارچه سازی عدم قطعیت در تعهد واحد تصادفی با منابع انرژی تجدید پذیر متناوب

چکیده انگلیسی

The penetration of intermittent renewable energy sources (IRESs) into power grids has increased in the last decade. Integration of wind farms and solar systems as the major IRESs have significantly boosted the level of uncertainty in operation of power systems. This paper proposes a comprehensive computational framework for quantification and integration of uncertainties in distributed power systems (DPSs) with IRESs. Different sources of uncertainties in DPSs such as electrical load, wind and solar power forecasts and generator outages are covered by the proposed framework. Load forecast uncertainty is assumed to follow a normal distribution. Wind and solar forecast are implemented by a list of prediction intervals (PIs) ranging from 5% to 95%. Their uncertainties are further represented as scenarios using a scenario generation method. Generator outage uncertainty is modeled as discrete scenarios. The integrated uncertainties are further incorporated into a stochastic security-constrained unit commitment (SCUC) problem and a heuristic genetic algorithm is utilized to solve this stochastic SCUC problem. To demonstrate the effectiveness of the proposed method, five deterministic and four stochastic case studies are implemented. Generation costs as well as different reserve strategies are discussed from the perspectives of system economics and reliability. Comparative results indicate that the planned generation costs and reserves are different from the realized ones. The stochastic models show better robustness than deterministic ones. Power systems run a higher level of risk during peak load hours.

خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.