کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5063972 1476708 2016 16 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A robust model for the ramp-constrained economic dispatch problem with uncertain renewable energy
ترجمه فارسی عنوان
یک مدل قوی برای مشکل اعمال فشار محدود شده با رمپ با انرژی های تجدید پذیر ناشناخته
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی انرژی (عمومی)
چکیده انگلیسی


• We study a novel formulation of the uncertainty of Renewable Energy Sources (RES) in an electricity system, considering ramping costs.
• We develop a chance constrained optimization model to analyze the effect of ramping on generation, and formulate a robust reformulation that allows to solve the problem for large instances of the problem.
• We illustrate the advantages of our proposed approach by comparing our solutions to the economic dispatch problem to the solutions obtained with a typical scenario sampling approach.Our dispatch solutions require less ramping than the solutions using a scenario sampling approach, with little trade-off on the long-term expected costs of the dispatch.

The inherent uncertainty of renewable energy sources (RES) makes the solution to the electricity network's associated economical dispatch (ED) problem with network constraints challenging. In particular, the uncertainty in the power output of RES requires conventional generation units to ramp up and down more frequently to maintain the power balance and the reliability of the system. Typically, the RES power output uncertainty is modeled in ED problems by considering its potential future scenarios. However, this leads to an optimization problem that is difficult to solve for real-sized networks. Here, we propose an alternative way of considering the uncertainty of RES and the consequent ramping of conventional generation via a robust reformulation of the problem. In particular, we show that in typical real-world instances of the ED problem, the associated deterministic formulation of the robust problem can be solved efficiently for larger scale constrained electricity networks even when the underlying uncertainty distribution is not normal. Moreover, we show that our approach results on dispatch solutions that require less ramping than scenario-based solutions, with little trade-off on the long-term expected costs of the network dispatch. These results also provide insights about how RES penetration affects cost and dispatch policies in the electricity network. To illustrate our results, we present relevant numerical experiments on IEEE test networks.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy Economics - Volume 56, May 2016, Pages 310–325