DocumentCode
622177
Title
Static voltage stability analysis using generalized regression neural network
Author
Mirzaei, Mohammad ; Jasni, J. ; Hizam, H. ; Wahab, Noor Izzri Abdul ; Moazami, Ehsan
Author_Institution
Dept. of Electr. & Electron., Univ. Putra Malaysia, Serdang, Malaysia
fYear
2013
fDate
3-4 June 2013
Firstpage
391
Lastpage
396
Abstract
The ability of power system to maintain steady voltage at all the buses after happening a disturbance from a given initial operation condition is defined the voltage stability in the system. The focus of this paper is on voltage stability monitoring using the generalized regression neural network by improving algorithm. In this paper, to identify load buses and certain operation condition, the static voltage stability method in power systems is presented. Based on load buses, the index of voltage stability is obtained from the voltage equation derived from a two bus network. The proposed methods are tested on the IEEE-14 bus test system.
Keywords
neural nets; power engineering computing; power system stability; regression analysis; IEEE-14 bus test system; generalized regression neural network; load bus identification; static voltage stability method; voltage stability monitoring; Circuit stability; Equations; Mathematical model; Power system stability; Stability criteria; Training; Generalized regression neural network; K-fold cross-validation method; Thevenin equivalent circuit; Voltage stability;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering and Optimization Conference (PEOCO), 2013 IEEE 7th International
Conference_Location
Langkawi
Print_ISBN
978-1-4673-5072-3
Type
conf
DOI
10.1109/PEOCO.2013.6564579
Filename
6564579
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