Secure State Estimation of Distribution Network Based on Kalman Filter Decomposition

Authors

Xinghua Liu, School of Electrical Engineering, Xi'an University of Technology, Xi'an 710048, ChinaFollow
Siwen Dong, School of Electrical Engineering, Xi'an University of Technology, Xi'an 710048, China
Jiaqiang Tian, School of Electrical Engineering, Xi'an University of Technology, Xi'an 710048, ChinaFollow

Abstract

A new state estimation algorithm is proposed to improve the accuracy to obtain the optimal state estimation of distribution network against FDI attack. In the case of phasor measurement units being attacked and the measurement results being altered,the optimal Kalman estimate can be decomposed into a weighted sum of local state estimates. Focusing on the insecurity of the weighted sum method,a convex optimization based on local estimation is proposed to replace the method and combine the local estimation into a secure state estimation. The simulation results show that the proposed estimator is consistent with the Kalman estimator when all the PMU measuring devices operate well. When the PMU device is attacked and the measurement is abnormal, a sufficient condition is provided, under which the security state estimator is stable.

Recommended Citation

Liu, Xinghua; Dong, Siwen; and Tian, Jiaqiang (2023) "Secure State Estimation of Distribution Network Based on Kalman Filter Decomposition," Journal of System Simulation: Vol. 35: Iss. 6, Article 6.
DOI: 10.16182/j.issn1004731x.joss.22-0191
Available at: https://dc-china-simulation.researchcommons.org/journal/vol35/iss6/6

First Page

1191

Revised Date

2022-05-11

DOI Link

http://dx.doi.org/10.16182/j.issn1004731x.joss.22-0191

Last Page

1202

CLC

TP391

Recommended Citation

Xinghua Liu, Siwen Dong, Jiaqiang Tian. Secure State Estimation of Distribution Network Based on Kalman Filter Decomposition[J]. Journal of System Simulation, 2023, 35(6): 1191-1202.

DOI

10.16182/j.issn1004731x.joss.22-0191