电力系统保护与控制2017，Vol.45Issue(2)：42-47,6.DOI:10.7667/PSPC160141
基于集群计算的特大型电网特征值搜索策略
Eigenvalue searching strategy for ultra large scale power grid based on cluster computing
摘要
Abstract
Since implicit restarted Arnoldi algorithm cannot obtain all eigenvalues in a designated area automatically,an eigenvalue searching strategy based on cluster computing is proposed to satisfy the requirements of accuracy and speed of online small signal stability analysis for ultra large scale power grid.Searching area is divided into several areas with same size and shift is appointed in each area to determine areas consisting more eigenvalues.Such area will be designated multi shifts to improve calculating speed.Square will be chosen to divide the searching area.Uncovered square can be identified automatically by comparing with the inscribed square of the circle area formed by the eigenvalues of a shift.The analysis results of East China Power Grid online data validate the correctness and efficiency of the proposed strategy.关键词
小干扰稳定分析/隐式重启动Arnoldi算法/位移求逆变换/集群计算Key words
small signal stability analysis/implicit restarted Arnoldi algorithm/shift-invert transformation/cluster computing引用本文复制引用
徐伟,刘建坤,胡昊明,赵静波..基于集群计算的特大型电网特征值搜索策略[J].电力系统保护与控制,2017,45(2):42-47,6.基金项目
中国博士后科学基金项目(2016M591738) （2016M591738）
江苏省博士后科研资助计划项目(1601160C)This work is supported by China Postdoctoral Science Foundation (No.2016M591738) and Postdoctoral Science and Technology Program of Jiangsu Province (No.1601160C). （1601160C）
