Study Of The Voltage Stability In A Multibus Power Network Using AI Technique

G. Prasad*, Vijay Kumar**, ***
*Associate Professor, GITAM University, Visakhapatnam.GITAM University, Visakhapatnam.
** Associate Professor, GITAM University, Visakhapatnam.
***Associate Professor, GITAM University, Visakhapatnam.
**** Lecturer, Eritrea institute of Technology, Eritrea.
Periodicity:June - August'2011
DOI : https://doi.org/10.26634/jele.1.4.1509

Abstract

Voltage instability is a state of power system encountering an unacceptable voltage level. This paper describes the expressions of Fast Voltage Stability Index (FVSI) and Line Quality Factor (LQF), which may be considered as indication of voltage collapse under constrained condition of an interconnected power system. Artificial Neural Network Technique has been applied to identify the voltage collapse condition. The novelty of this method is that, once the ANN model of the system is developed, through on line checking of the load of the weak bus, the present method can immediately calculate the FVSI and LQF without going through the complex classical calculations. The developed ANN technique has been tested in IEEE 30 bus test system and is found to be in excellent agreement with the result obtained by classical method.

Keywords

Voltage Stability, ANN, Bus LQF, FVSI.

How to Cite this Article?

G. Prasad, D. Vijay Kumar, M. Ebraheem and A. Muneiah (2011). Study of the Voltage Stability in a Multibus Power Network using AI Technique. i-manager’s Journal on Electronics Engineering, 1(4), 38-42. https://doi.org/10.26634/jele.1.4.1509

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