کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
704579 1460883 2016 14 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Applying successive linear programming for stochastic short-term hydropower optimization
ترجمه فارسی عنوان
استفاده از برنامه ریزی خطی پیوندی برای بهینه سازی آبی کوتاه مدت تصادفی
کلمات کلیدی
برنامه کوتاه مدت آبی نیرو، بهینه سازی تصادفی، برنامه ریزی خطی متوالی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
چکیده انگلیسی


• An optimization model for short-term scheduling of hydropower is formulated.
• Head-of-water effects are included in the model.
• Uncertainty of future prices and inflow are included in the model.
• The new model performs well compared to industry practice.

We present a model for operational stochastic short-term hydropower scheduling, taking into account the uncertainty in future prices and inflow, and illustrate how the benefits of using a stochastic rather than a deterministic model can be quantified. The solution method is based on stochastic successive linear programming. The proposed method is tested against the solution of the true non-linear problem in a principal setting. We demonstrate that the applied methodology is a first-order approximation to a formal correct head-of-water optimization and achieve good results in tests. How the concept of stochastic successive linear programming has been implemented in a prototype software for operational short-term hydropower scheduling is also presented, and the model's ability is demonstrated through case studies from Norwegian power industry. From these studies, improvements occurred in terms of the objective function value and decreased risk of spill from reservoirs.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Electric Power Systems Research - Volume 130, January 2016, Pages 167–180
نویسندگان
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