超大型电力系统的小信号稳定性评估

Tao Hu, Fang Li, Yang Hu
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引用次数: 1

摘要

超大电力系统小信号稳定性评估需要解决的几个问题。一是各种替代能源发电模式和现代智能控制设备不断涌现;小信号稳定性评估软件需要找到一种方便、灵活且能及时更新的模拟方法。其次,随着新模型的增加,系统状态变量数组的维数急剧扩大。雅可比矩阵,即使以稀疏的方式存储,仍然是一个巨大的规模。传统串行算法的执行存储成本高,效率低。本文详细介绍了电力系统分析软件包中的用户自定义模型模块和对任意块进行线性化的方法。讨论了基于“多端口逆矩阵并行算法”或一些成熟的并行数值分析解的并行算法的发展,这些算法可应用于高性能PC集群或多核PC。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Small signal stability assessment of extra-large power system
Several issues should be solved for small signal stability assessment of extra-large power system. First, various alternative energy generation models and modern intelligent control equipments are emerged continuously; a convenient and flexible way to simulate these models which can be updated timely should be found for the small signal stability assessment software. Second, the system state variables array dimension expands sharply with the increase of new models. Jacobi matrix, even stored in a sparse way, still will be a huge scale. The execution of the traditional serial algorithm will be high storage cost and low efficient. In this paper the user-defined model module of the power system analysis software package and a method which can linearize any block are introduced in detail. The development of the Parallel algorithms based on the ‘Multi-port Inverse Matrix parallel algorithm’ or some mature parallel numerical analysis solvers are discussed, which can be applied on the high performance PC clusters or multi-core PC.
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