Low-Complexity Nonlinear Analysis of Synchrophasor Measurements for Events Detection and Localization | Zendy

Guohong Liu | Zendy; Hong Chen | Zendy; Xiaoying Sun | Zendy; Nan Quan | Zendy; Lei Wan | Zendy; Rounan Chen | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Low-Complexity Nonlinear Analysis of Synchrophasor Measurements for Events Detection and Localization

Author(s) -

Guohong Liu,

Hong Chen,

Xiaoying Sun,

Nan Quan,

Lei Wan,

Rounan Chen

Publication year - 2017

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2017.2772287

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

This paper is concerned with the computational efficient nonlinear analysis of phasor measurement unit data and presents a Nyström principal components analysis-based algorithm for events detection and localization in an electrical power system. Based on the properly chosen sample subset of every moving window data, the Nyström approximation is carried out to obtain the principal eigenvalues and related eigenvectors of a mapped kernel matrix. Then, the T² statistic is constructed to detect the abnormal states of an electrical power system. In addition, the contribution of each variable to the T² statistic is derived to determine the location of the fault bus. Compared with the previous works, the novel version proposed in this paper efficiently reduces the computational burden, and accurately locates the fault bus. Computer simulations using both realistic data, collected from the China power system, and simulated voltage and phase-angle data, validate the reliability of the proposed algorithm.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research