Dynamic State Estimation of Power System Based on Adaptive Interpolation Strong Tracking Extended Kalman Filter

被引：0
|
作者：
Wu C. [1 ]
Zheng K. [1 ]
Xu X. [1 ]
Zhang Z. [1 ]
Fu J. [1 ]
Hu W. [1 ]
机构：
[1] School of Energy and Electrical Engineering, Chang’an University, Shaanxi Province, Xi’an
来源：
Dianwang Jishu/Power System Technology | 2023年 / 47卷 / 05期
关键词：
adaptive interpolation strong tracking extended Kalman filter; dynamic state estimation; power system; voltage amplitude; voltage phase angle;
D O I：
10.13335/j.1000-3673.pst.2022.1155
中图分类号：
学科分类号：
摘要：
In power system state estimation, the extended Kalman filter (EKF) algorithm is poor in robustness and is greatly restricted by the nonlinear degree of the nonlinear system in accuracy. For this reason, this paper proposes an adaptive interpolation strong tracking EKF (AISTEKF) algorithm for the dynamic state estimation of the power system. The new algorithm increases some pseudo-measurements between two continuous sampling points by using the adaptive interpolation, reducing the linearization errors of the EKF and improving the estimation accuracy of the algorithm effectively. In addition, the strong tracking theory is introduced based on the EKF algorithm to enhance the robustness of the algorithm estimation. To verify the effectiveness of the proposed algorithm, the dynamic state estimations in the IEEE-5 node system and the IEEE-30 node system are carried out by using the EKF algorithm, the adaptive interpolation EKF (AIEKF) algorithm and the AISTEKF algorithm respectively. Experimental results show that, compared the EKF with the AIEKF algorithms, the estimation accuracies of the voltage amplitude and the voltage phase Angle of the AISTEKF algorithm are improved significantly in both the Gaussian noise environment and the other three kinds of biased noise environments. The proposed algorithm is an excellent method for the power system state estimation with good robustness and high estimation accuracy. © 2023 Power System Technology Press. All rights reserved.
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页码：2078 / 2088
页数：10
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