摘要
介绍了求取大规模电力系统关键模态的双边Jacobi-Davidson(TSJD)方法。该方法具有灵活的特征值选择策略,而且在求得特征值的同时可以收敛到其左右特征向量,从而能够直接分析所关心的模态。文中给出了该算法的计算流程,以及提高算法计算效率的措施。最后采用2 940阶和29 548阶电力系统状态矩阵对该方法进行测试。测试结果表明该方法是高效和可靠的,可以用于实际大规模系统的关键模态计算。
This paper describes the two-sided Jacobi-Davidson （TSJD） method to compute the critical modes of large scale power systems. The selection strategy of eigenvalues is flexible in the proposed method. It converges to right and left eigenvectors as well as eigenvalues which can he used directly for modal analysis. The flow of TSJD method is described and measures to improve computing efficiency are given. TSJD method is applied to the power system state matrices with orders of 2 940 and 29 548. The results show that TSJD method is reliable and efficient. It can be used to compute critical modes of practical large scale power systems.
出处
《电力系统自动化》
EI
CSCD
北大核心
2012年第12期7-10,48,共5页
Automation of Electric Power Systems
基金
国家自然科学基金资助项目(50877060)~~
