Assessment of voltage security in a multi-bus power system using artificial neural network and voltage stability indicators

Joint Authors

Kabir
Chakraborty
Chakrabarti, Shami
Abhijit, Abhinandan De

Source

Journal of Electrical Systems

Issue

Vol. 6, Issue 4 (31 Dec. 2010), pp.517-529, 13 p.

Publisher

Piercing Star House

Publication Date

2010-12-31

Country of Publication

Algeria

No. of Pages

13

Main Subjects

Mechanical Engineering

Abstract EN

In this paper, a new methodology has been proposed for monitoring and assessment of statu voltage stability margins using a unique technique combining artificial neural network (ANN^ and linear voltage stability indicator (LVSi).

A technique for equivalencing of a multi-bus powel system to a two bus radial system has been developed and LVSI has been used as the underlying tool for evaluation of voltage stability margins in a standard SO bus power network.

ANN basei pattern recognition engine has been combined with LVSI to predict voltage security of tht system under various operating conditions.

The proposed technique gives excellent prediction a voltage security under all operating conditions including multiple contingencies.

American Psychological Association (APA)

Kabir& Chakraborty& Abhijit, Abhinandan De& Chakrabarti, Shami. 2010. Assessment of voltage security in a multi-bus power system using artificial neural network and voltage stability indicators. Journal of Electrical Systems،Vol. 6, no. 4, pp.517-529.
https://search.emarefa.net/detail/BIM-252340

Modern Language Association (MLA)

Kabir…[et al.]. Assessment of voltage security in a multi-bus power system using artificial neural network and voltage stability indicators. Journal of Electrical Systems Vol. 6, no. 4 (Dec. 2010), pp.517-529.
https://search.emarefa.net/detail/BIM-252340

American Medical Association (AMA)

Kabir& Chakraborty& Abhijit, Abhinandan De& Chakrabarti, Shami. Assessment of voltage security in a multi-bus power system using artificial neural network and voltage stability indicators. Journal of Electrical Systems. 2010. Vol. 6, no. 4, pp.517-529.
https://search.emarefa.net/detail/BIM-252340

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 528-529

Record ID

BIM-252340