Costs optimization for unit commitment and economic load dispatch in large scale power systems

Norhamimi, Musse Mohamud Ahmed, I. Hassan
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引用次数: 12

Abstract

Power generation business profit depends on the power systems operational costs. Finding an optimal solution to the unit commitment (UC) and economic load dispatch (ELD) is one of the smart strategies that being practiced by most of power producers. UC and ELD main problems are to find the minimum total fuel cost and fast computation simulation time scheduling of UC and ELD. Obtaining the best solution to these two problems lead to remarkable saving in the power system operational cost Lagrangian relaxation (LR) is one of the best solution methods to UC and ELD problems. The approach is more efficient and easier than other methods in solving large-scale problems. Lately, the emerging of bundling methods (BM) improves the weakness of LR. Through BM, the LR dual functions are updated at the higher level. With the use of interior point method as an initialization method this paper presents LR and BM based solution technique to UC and ELD problems. It is based on application of the said techniques to thermal units consisting of 45 generators. A comparison has been made with a data taken from Tenaga Nasional Berhad (TNB) and the results found from this system have been compared to that of TNB results.
大型电力系统机组投入成本优化与经济负荷调度
发电企业的利润取决于电力系统的运行成本。寻找机组承诺(UC)和经济负荷调度(ELD)的最优解决方案是大多数发电企业正在实践的智能策略之一。UC和ELD的主要问题是寻找最小的总燃料成本和快速计算模拟UC和ELD的时间调度。拉格朗日松弛法(LR)是解决UC和ELD问题的最佳方法之一。在解决大规模问题时,这种方法比其他方法更有效、更容易。近年来,捆绑方法(BM)的出现改善了LR的缺点。通过BM, LR的双重功能在更高层次上得到更新。本文采用内点法作为初始化方法,提出了基于LR和BM的UC和ELD问题求解技术。它是基于上述技术在由45台发电机组成的热机组上的应用。与Tenaga Nasional Berhad (TNB)的数据进行了比较,并将该系统的结果与TNB的结果进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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