Abstract
When the grid topology is changed due to incidents and the state estimator is not updated with the topological change, it is considered a topology error. In this paper, we develop a new method for detecting topology errors in power grids. The proposed method considers the measurement data as a nonstationary Gaussian process, explores the dependence structure of the underlying process. It detects errors by testing the hypothesis of whether the mean vector of a nonstationary Gaussian process is zero and does not rely on the convergence of the standard weighted least-squares (WLS) state estimation algorithm. It is very effective in detecting topology errors, in which multiple conforming errors may occur, and the traditional state estimation algorithms may fail to converge. Simulation results show that it can accurately identify the abnormal measurements caused by the topology error.
Recommended Citation
W. B. Wu et al., "A Hypothesis Testing Approach for Topology Error Detection in Power Grids," IEEE Internet of Things Journal, vol. 3, no. 6, pp. 979 - 985, article no. 7428828, Institute of Electrical and Electronics Engineers, Dec 2016.
The definitive version is available at https://doi.org/10.1109/JIOT.2016.2539363
Department(s)
Computer Science
Keywords and Phrases
Anomaly detection; Gaussian process; hypothesis testing; power grid; state estimation; topology error
International Standard Serial Number (ISSN)
2327-4662
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Dec 2016
Comments
National Science Foundation, Grant 1307458