摘要
随着高性价比的可扩展集群并行系统的逐步成熟和应用,大规模电力系统暂态稳定并行计算和分布式实时仿真成为可能。本文首先介绍了电力系统暂态稳定的计算模型及基本算法,分析了算法中存在的困难。然后从算法的基本原理和实用效果入手,综述了空间并行、波形松弛和时空并行电力系统暂态稳定算法的研究进展,比较了各种并行算法的优点和局限性,并指出基于集群系统的粗粒度区域分解暂态稳定并行算法最具发展潜力。
With the maturity and widely use of the scalable cluster parallel system, which has a high performance and price ratio, the Transient Stability parallel computing and distributed real time simulation on large scale Power System become possible. This paper firstly outlines the computing model and basic algorithms, and analyzes the main difficulties in algorithms. Then, starting from the basic principles and practical effects of the algorithms, we summarize the research progress of spatial parallel, waveform relaxation and spatial-time parallel Power System Transient Stability algorithms. At last, we compare the advantages and limitations of several parallel algorithms, and point out that the coarse granularity domain decompose Transient Stability parallel algorithm on cluster system is the most promising one.
出处
《系统仿真学报》
CAS
CSCD
2002年第2期177-182,共6页
Journal of System Simulation
基金
国家自然科学基金(编号:69933020)
关键词
电力系统
暂态稳定
仿真
并行算法
transient stability
parallel computing
spatial parallelism
waveform relaxation method (WRM)
spatial and time parallelism
