基于嵌套BBDF算法的分布式状态估计的研究  

The Study of Distributed State Estimation Based on Nested BBDF Partitioning Algorithm

作　　者：东旭[1] 房鑫炎[2] 赵文恺[2] 孙占功[1] 

机构地区：[1]济南供电公司,山东济南250012 [2]上海交通大学,上海200240

出　　处：《山东电力技术》2014年第2期1-6,共6页Shandong Electric Power

基　　金：国家自然科学基金项目(90612018)

摘　　要：电力系统发展对电网在线安全计算提出新的要求。提出一种适用于大电网系统状态估计的嵌套对角加边(bordered block diagonal form,BBDF)雅可比矩阵分割算法。该算法基于大电网地理区域信息,利用边割集自外而内形成电网的嵌套对角加边的结构,将状态估计在解耦后的各分区内实现。针对该算法,还提出一种分布式数据存储方式,不但能满足一般电网的状态估计计算要求,而且特别适用于当电网拓扑信息发生改变时的状况。通过算例验证了算法的有效性。New requirements for online security computation are raised with the development of power system. A graph partitioning algorithm named bordered block diagonal form ＇nested BBDF＇ was presented for the State Estimation of large-scale power grid,which transforms the coefficient matrix of equations into nested BBDF. State Estimation is completed in the decoupled sub-region using via edge cut set in a hierarchical way which is based on geographic information of power system. A distributed data storage was also submitted in this paper, which not only meets the general requirements of State Estimation, but also is especially suitable when the power grid topology changes. In this paper,effectiveness of the algorithm is tested by examples.

关 键 词：嵌套对角加边格式 在线安全分析 状态估计 分布式计算 

分 类 号：TM74[电气工程—电力系统及自动化]