کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10294015 512447 2016 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A heuristic methodology to economic dispatch problem incorporating renewable power forecasting error and system reliability
ترجمه فارسی عنوان
یک روش اکتشافی برای مسئله اعزام اقتصادی با استفاده از خطای پیش بینی قدرت تجدید پذیر و قابلیت اطمینان سیستم
کلمات کلیدی
سیستم های قدرت عایق، قابلیت اطمینان سیستم، اعزام اقتصادی احتمالی، خطای پیش بینی قدرت باد،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی
With the constant increment of wind power generation driven by economic and environmental factors, the optimal utilization of generation resources has become a critical problem discussed by many authors. Within this topic, determination of optimal spinning reserve (SR) requirements is a key and complex issue due to the variable and unpredictable nature of renewable generation besides of generation unit reliability. Cost/benefit relationship has been suggested as a way to determine the optimal amount of power generation to be committed by taking into account renewable power forecasting error and system reliability. In this paper, a technique that combines an analytical convolution process with Monte Carlo Simulation (MCS) approach is proposed to efficiently build cost/benefit relationship. The proposed method uses discrete probability theory and identifies those cases at which convolution analysis can be used by recognizing those situations at which SR does not have any effect; while in the other cases MCS is applied. This approach allows improving significantly the computational efficiency. The proposed technique is illustrated by means of two case studies of 10 and 140 units, demonstrating the capabilities and flexibility of the proposed methodology.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Renewable Energy - Volume 87, Part 1, March 2016, Pages 731-743
نویسندگان
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