Random Vector Functional Link Network Optimized by Jaya Algorithm for Transient Stability Assessment of Power Systems
Joint Authors
Pan, Jianhong
Dong, Aidi
Fan, Jiashu
Li, Yang
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-12-07
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
A novel transient stability assessment (TSA) approach using random vector functional link (RVFL) network optimized by Jaya algorithm, called Jaya-RVFL, is proposed for power systems in this paper.
First, by extracting system-level features from phasor measurement unit (PMU) measurements as predictors, an RVFL-based TSA model is proposed.
In order to improve the performance of RVFL classifiers, a quantile scaling approach is utilized to optimize the randomization range of input weights via the Jaya algorithm.
The simulation results on IEEE 39-bus system and a real-world power system show that the presented method outperforms other popular methods comprising multilayer perception, probabilistic neural network, and support vector machine.
American Psychological Association (APA)
Pan, Jianhong& Fan, Jiashu& Dong, Aidi& Li, Yang. 2020. Random Vector Functional Link Network Optimized by Jaya Algorithm for Transient Stability Assessment of Power Systems. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1201861
Modern Language Association (MLA)
Pan, Jianhong…[et al.]. Random Vector Functional Link Network Optimized by Jaya Algorithm for Transient Stability Assessment of Power Systems. Mathematical Problems in Engineering No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1201861
American Medical Association (AMA)
Pan, Jianhong& Fan, Jiashu& Dong, Aidi& Li, Yang. Random Vector Functional Link Network Optimized by Jaya Algorithm for Transient Stability Assessment of Power Systems. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1201861
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1201861