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Optimized Extreme Learning Machine for Power System Transient Stability Prediction Using Synchrophasors
Joint Authors
Zhang, Yanjun
Li, Tie
Na, Guangyu
Li, Guoqing
Li, Yang
Source
Mathematical Problems in Engineering
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-11-10
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
A new optimized extreme learning machine- (ELM-) based method for power system transient stability prediction (TSP) using synchrophasors is presented in this paper.
First, the input features symbolizing the transient stability of power systems are extracted from synchronized measurements.
Then, an ELM classifier is employed to build the TSP model.
And finally, the optimal parameters of the model are optimized by using the improved particle swarm optimization (IPSO) algorithm.
The novelty of the proposal is in the fact that it improves the prediction performance of the ELM-based TSP model by using IPSO to optimize the parameters of the model with synchrophasors.
And finally, based on the test results on both IEEE 39-bus system and a large-scale real power system, the correctness and validity of the presented approach are verified.
American Psychological Association (APA)
Zhang, Yanjun& Li, Tie& Na, Guangyu& Li, Guoqing& Li, Yang. 2015. Optimized Extreme Learning Machine for Power System Transient Stability Prediction Using Synchrophasors. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1074062
Modern Language Association (MLA)
Zhang, Yanjun…[et al.]. Optimized Extreme Learning Machine for Power System Transient Stability Prediction Using Synchrophasors. Mathematical Problems in Engineering No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1074062
American Medical Association (AMA)
Zhang, Yanjun& Li, Tie& Na, Guangyu& Li, Guoqing& Li, Yang. Optimized Extreme Learning Machine for Power System Transient Stability Prediction Using Synchrophasors. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1074062
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1074062