Partition Method of Power System State Estimation Parallel Computing Based on Substations

被引：0
|
作者：
Liang, Zhengtang [1 ]
Li, Yudun [1 ]
Liang, Sujie [2 ]
Chen, Fang [3 ]
Liu, Yong [4 ]
Zhong, Jialin [3 ]
机构：
[1] State Grid Shandong Elect Power Res Inst, Jinan, Peoples R China
[2] Shandong Elect Power Co, Linyi Power Supply Co, Linyi, Shandong, Peoples R China
[3] Univ Jinan, Sch Elect Engn, Jinan, Peoples R China
[4] State Grid Shandong Elect Power Co, Jinan, Peoples R China
来源：
2021 IEEE IAS INDUSTRIAL AND COMMERCIAL POWER SYSTEM ASIA (IEEE I&CPS ASIA 2021) | 2021年
关键词：
state estimation; distribute; parallel; calculating path tree;
D O I：
10.1109/ICPSAsia52756.2021.9621645
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
For distributed and parallel power systems state estimation, a partition method is proposed with the goal of minimizing the total computation time. Firstly, the structure of the gain matrix in the Weighted Least Squares (WLS) is analyzed. Secondly, in the processing of substations data based on sparse matrix technique, the calculating path is analyzed; According to the path set of calculation and the location of substations, a time-consuming model of distributed and parallel state estimation is established. Taking into account the balance of computational burden, time consumption and resource allocation, the method presented in this paper can give a better partition scheme, and simulation results turn out it is practical and easy to implement.
引用
收藏
页码：928 / 935
页数：8
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