In:
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, SAGE Publications, Vol. 235, No. 9 ( 2021-10), p. 1718-1726
Abstract:
Traditional static threshold–based state analysis methods can be applied to specific signal-to-noise ratio situations but may present poor performance in the presence of large sizes and complexity of power system. In this article, an improved maximum eigenvalue sample covariance matrix algorithm is proposed, where a Marchenko–Pastur law–based dynamic threshold is introduced by taking all the eigenvalues exceeding the supremum into account for different signal-to-noise ratio situations, to improve the calculation efficiency and widen the application fields of existing methods. The comparison analysis based on IEEE 39-Bus system shows that the proposed algorithm outperforms the existing solutions in terms of calculation speed, anti-interference ability, and universality to different signal-to-noise ratio situations.
Type of Medium:
Online Resource
ISSN:
0959-6518
,
2041-3041
DOI:
10.1177/09596518211001270
Language:
English
Publisher:
SAGE Publications
Publication Date:
2021
detail.hit.zdb_id:
2024903-2
Permalink