Measurements Processing Method of Distribution Network State Estimation and Anti False Data Injection Attack Strategy

被引：0
|
作者：
He X. [1 ,2 ]
Tu C. [2 ]
Yu L. [3 ]
机构：
[1] Department of Electrical and Information Engineering, Hunan Institute of Technology, Hengyang
[2] Department of Electrical and Information Engineering, Hunan University, Changsha
[3] Digital Research Institute, China Southern Power Grid, Guangzhou
来源：
Gaodianya Jishu/High Voltage Engineering | 2021年 / 47卷 / 07期
基金：
国家重点研发计划;
关键词：
Advanced metering system; False data injection attack; State estimation; Synchronous phasor measurement; Ultra-short-term load forecast;
D O I：
10.13336/j.1003-6520.hve.20210426
中图分类号：
学科分类号：
摘要：
The biggest problem in distribution network state estimation, compared to transmission network state estimation, is insufficient measurement. In order to maximally make use of distribution network synchronous phasor measurement (D-PMU) data and advanced metering system (AMI) data, this paper studies the two data processing methods. Through the treatment of D-PMU current phasor, the problem of Jacobi ill-conditioned structure is solved. Through the calculation of "pseudo-D-PMU data", the redundancy of measurement is increased, and the ability of the algorithm to resist the attack of pseudo data is improved. IEEE 123 bus standard example simulation results show that the proposed method can be adopted to better predict ultra-short-term load data; compared with the traditional least square algorithm, the proposed method can be adopted to effectively resist the attack of false data injection, and the accuracy and consistency of state estimation are improved. © 2021, High Voltage Engineering Editorial Department of CEPRI. All right reserved.
引用
收藏
页码：2342 / 2349
页数：7
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