دانلود مقاله ISI انگلیسی شماره 94909
ترجمه فارسی عنوان مقاله

یک مدل بهینه سازی بی نظیر برای مدیریت پایدار سیستم برق منطقه ای با توجه به منابع مجتمع تجدید پذیر

عنوان انگلیسی
An inexact optimization model for regional electric system steady operation management considering integrated renewable resources
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
94909 2017 15 صفحه PDF
منبع

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

Journal : Energy, Volume 135, 15 September 2017, Pages 195-209

ترجمه کلمات کلیدی
برنامه نویسی تصادفی دو مرحله ای بی نظیر، اعتبار فازی محدودیت دارد، سیستم برق منطقه ای، منابع تجدیدپذیر، خطای پیش بینی، عدم قطعیت،
کلمات کلیدی انگلیسی
Inexact two-stage stochastic programming; Fuzzy credibility constrained; Regional electric power system; Renewable resources; Forecast error; Uncertainty;
پیش نمایش مقاله
پیش نمایش مقاله  یک مدل بهینه سازی بی نظیر برای مدیریت پایدار سیستم برق منطقه ای با توجه به منابع مجتمع تجدید پذیر

In this study, an inexact two-stage stochastic fuzzy programming (ITSFP) is developed for regional power generation planning with considering the intermittency and fuzziness of renewable energy power output. ITSFP incorporates interval-parameter programming (IPP), two-stage stochastic programming (TSP), and fuzzy credibility constrained programming (FCCP) within a general optimization framework which can tackle uncertainties expressed as intervals, probability distributions, and fuzzy sets. The developed method is applied to a regional electric power system over a one-day optimization horizon coupled with air pollution control. The power generation schemes, imported electricity, and system cost under various environmental goals and risk preferences are analyzed. The obtained results indicate that the model can provide a linkage between predefined electric power generation schedule and the relevant economic implications, as well as more reasonable decision alternatives for decision makers by loosening system constraints at specified confidence level. Besides, the fuzziness of forecast error corresponding to the variability of renewable energy resources could be effectively reflected. Moreover, the results are useful for addressing the trade-off between system economy and system risk.