电力系统的加速波形松弛方法

Florent Pruvost, P. Laurent-Gengoux, F. Magoulès, B. Haut
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引用次数: 14

摘要

在本文中,作者研究了波形松弛法处理大型电力系统的能力,并评估了其效率。与任何域分解方法一样,波形松弛方法所需的迭代次数强烈依赖于系统的大小、子域的数量和初始化值。为了解决这些依赖关系,本文提出了一种减少迭代次数的初始化技术和一种对大量子系统保持高收敛速度的预处理技术。在欧洲电网上的应用表明,所提出的方法对于解决大型电力系统的问题是非常有效的。
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Accelerated Waveform Relaxation methods for power systems
In this paper, the authors investigate the ability of the Waveform Relaxation method to deal with large power systems and assess its efficiency. As any domain decomposition methods, the number of iterations required by the Waveform Relaxation method is strongly dependent on the size of the system, the number of subdomains, and the initialization values. To cope with these dependencies, an initialization technique to reduce the number of iterations and a preconditioning technique to maintain a high convergence rate for large number of subsystems are here proposed. Applications on a European electricity network illustrate the great efficiency of the proposed methods for the solution of large power systems.
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