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Title: Modified Eigen-Decomposition-Based Interval Analysis (MEDIA) for Power System Dynamic State Estimation
The Bayesian approach has been used for the dynamic state estimation (DSE) of a power system. However, due to the complexity of noise resources, it is difficult to quantify measurement and process noise using probability density functions (PDFs). To overcome the difficulty, the authors of this article propose a modified eigen-decomposition-based interval analysis (MEDIA) method, which employs bounds instead of PDFs to quantify the noise, and uses the eigen decomposition method to reduce the negative impact of the overestimation problem. Using the simulation data generated from IEEE 16-machine and IEEE 10-machine systems, it is shown that the proposed MEDIA method can estimate the hard boundaries of dynamic states in real time. Comparison with the forward-backward propagation method and the extended set-membership filter also shows that the proposed MEDIA method performs better by providing narrower boundaries in the DSE.  more » « less
Award ID(s):
1845523
PAR ID:
10601078
Author(s) / Creator(s):
; ;
Publisher / Repository:
IEEE
Date Published:
Journal Name:
IEEE Transactions on Power Systems
Volume:
39
Issue:
2
ISSN:
0885-8950
Page Range / eLocation ID:
4549 to 4560
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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