The Study of Distributed Multi-Area State Estimation Algorithm

摘要：

Along with the expansion of power system, the problems of large matrix dimension become serious in traditional centralized state estimation algorithm. This article introduces a kind of distributed and optimal state estimation algorithm which based on multiple areas to deal with these problems. The paper proposed a distributed parallel algorithm for multi-area state estimation which greatly reduces calculating time and improves the numerical precision. At the same time, partitioning approach for an entire system and reference angle definition for different area are analyzed. The multi-area algorithm is simulated in MPI environment, and the simulating results show that the distributed state estimation algorithm is successful to compare with centralized state estimation.

关键词： distributed and optimal algorithm MPI power system state estimation

作者: JIN-LIAN GUO XIAO-DAN FAN XIAO-HONG HUANG HONG-SHAN ZHAO

作者单位: Department of Electric Engineering,North China Electric Power University,Hebei Baoding 071003,China Dispatch Center,Changzhi Power Supply Corporation,Shanxi Changzhi 046000,China

会议类型: 国际会议

会议名称: 2008 China International Conference on Electricity Distribution (CICED 2008)(2008中国国际供电会议)

会议地点: 广州

会议语种:英文

页码: 1-5

在线出版日期: 2008-12-10（万方平台首次上网日期，不代表论文的发表时间）