کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6892603 | 1445452 | 2018 | 40 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A long-term capacity expansion planning model for an electric power system integrating large-size renewable energy technologies
ترجمه فارسی عنوان
یک مدل برنامه ریزی برای توسعه ظرفیت درازمدت برای یک سیستم برق، یکپارچه سازی تکنولوژی های انرژی تجدید پذیر بزرگ
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کلمات کلیدی
برق، برنامه ریزی گسترش ظرفیت، قابلیت اطمینان سیستم، تکنولوژی انرژی قابل تجدید، برنامه ریزی تصادفی،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
علوم کامپیوتر (عمومی)
چکیده انگلیسی
The recent interest in reducing greenhouse gas emissions and the recent technical evolution of energy networks to smart grids have facilitated the integration of renewable energy technologies (RETs) into the electricity sector around the world. Although renewable energy provides substantial benefits for the climate and the economy, the large-size deployment of RETs could possibly hurt the level of power system reliability because of the RETs' technical limitations, intermittency, and non-dispatchability. Many power system planners and operators consider this a critical problem. This paper proposes a possible solution to this problem by designing a new stochastic optimization model for the long-term capacity expansion planning of a power system explicitly incorporating the uncertainty associated with RETs, and develops its solution by using the sample average approximation method. A numerical analysis then shows the effects of the large-scale integration of RETs on not only the power system's reliability level but also, and consequentially, its long-term capacity expansion planning. From the results of the numerical analysis, we show that our proposed model can develop a long-term capacity expansion plan that is more robust with respect to uncertain RETs and quantify the capacity the system requires to be reliable.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers & Operations Research - Volume 96, August 2018, Pages 244-255
Journal: Computers & Operations Research - Volume 96, August 2018, Pages 244-255
نویسندگان
Daiki Min, Jong-hyun Ryu, Dong Gu Choi,