Static voltage stability analysis using generalized regression neural network

Citation

Mirzaei, Maryam and Jasni, Jasronita and Hizam, Hashim and Abdul Wahab, Noor Izzri and Moazami, Ehsan (2013) Static voltage stability analysis using generalized regression neural network. In: 2013 IEEE 7th International Power Engineering and Optimization Conference (PEOCO 2013), 3-4 June 2013, Langkawi, Kedah. (pp. 391-396).

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.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Divisions:	Faculty of Engineering
DOI Number:	https://doi.org/10.1109/PEOCO.2013.6564579
Publisher:	IEEE
Keywords:	Voltage stability; Generalized regression neural network; Thevenin equivalent circuit; K-fold cross-validation method
Depositing User:	Nabilah Mustapa
Date Deposited:	10 May 2019 08:30
Last Modified:	10 May 2019 08:30
Altmetrics:	http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1109/PEOCO.2013.6564579
URI:	http://psasir.upm.edu.my/id/eprint/68303
Statistic Details:	View Download Statistic

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