热调度成本优化的新概念

N. Hamdan, M.M. Ahmed, I. Hassan
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引用次数: 3

摘要

对机组承诺(UC)和经济负荷调度(ELD)问题的最优解决将显著节省电力系统的运行成本。UC和ELD的主要问题是寻找最大的利润和快速的调度程序的计算仿真时间。拉格朗日弛豫(LR)已成为解决UC和ELD问题的最佳方法之一。据称,这种方法在解决大规模问题时比其他方法更有效、更容易。当应用LR时,需要在更高的层次上更新双重功能。近年来,捆绑法是求解拉格朗日对偶问题的最佳方法之一。本文提出了求解UC和ELD问题的LR技术、BM和内点法。它还将探索使用快速编程技术以最小的计算时间更新拉格朗日乘子的最佳方法。
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New concepts of costs optimization for thermal scheduling
An optimal solution to the unit commitment (UC) and economic load dispatch (ELD) problems lead to remarkable saving in the power system operational cost. UC and ELD main problems are to find the maximum profit and fast computation simulation time for the scheduling program. Lagrangian relaxation (LR) has become one of the best solution methods in solving the UC and ELD problems. The approach is claimed to be more efficient and easier than other methods in solving large-scale problems. When applying LR, the dual function needed to be updated at the higher level. Lately, bundling method (BM) is one of the best solution methods to Lagrangian dual problem. This paper presents LR technique, BM and interior point method for solving the UC and ELD problems. It will also explore the best possible way of updating Lagrangian multipliers with minimum computation time using fast programming techniques.
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