دورية أكاديمية

An Independent Component Analysis Approach for Wide-Area Monitoring of Power System Disturbances.

التفاصيل البيبلوغرافية
العنوان: An Independent Component Analysis Approach for Wide-Area Monitoring of Power System Disturbances.
المؤلفون: Ayón, José de Jesús Nuño, Sánchez, Jorge Luis García, Cabral, Eduardo Salvador Bañuelos, Castañón, Julián Sotelo, Roblero, María José Rodríguez
المصدر: Electric Power Components & Systems; 2020, Vol. 48 Issue 6/7, p615-627, 13p
مصطلحات موضوعية: INDEPENDENT component analysis, PHASOR measurement, TEST systems, GAUSSIAN distribution
مصطلحات جغرافية: NEW York (N.Y.), NEW England
مستخلص: Wide-area power system monitoring based on phasor measurement units allows collecting a set of physical variables for evaluating the system security and stability, as well as for detecting power system disturbances. However, trends, noise and non-Gaussian distribution in measurements are important challenges for carrying out the detection, localization and visualization of power system disturbances. In this paper, a methodology that combines independent component analysis with statistical indices for detecting and visualizing anomalous dynamic events from wide-area measurements is proposed. From the statistical indices, two charts are also proposed to provide a better understanding of the system disturbances. Finally, a set of simulated data obtained from a transient stability model of the New England/New York test system is used to demonstrate the effectiveness of the proposed technique. [ABSTRACT FROM AUTHOR]
Copyright of Electric Power Components & Systems is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
قاعدة البيانات: Complementary Index
الوصف
تدمد:15325008
DOI:10.1080/15325008.2020.1797930