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Reseach Article

Dynamic Stability Enhancement of Power Transmission System Using Artificial Neural Network Controlled Static Var Compensator

by Amit Garg, Sanjai Kumar Agarwal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 53 - Number 9
Year of Publication: 2012
Authors: Amit Garg, Sanjai Kumar Agarwal
10.5120/8449-2243

Amit Garg, Sanjai Kumar Agarwal . Dynamic Stability Enhancement of Power Transmission System Using Artificial Neural Network Controlled Static Var Compensator. International Journal of Computer Applications. 53, 9 ( September 2012), 21-29. DOI=10.5120/8449-2243

@article{ 10.5120/8449-2243,
author = { Amit Garg, Sanjai Kumar Agarwal },
title = { Dynamic Stability Enhancement of Power Transmission System Using Artificial Neural Network Controlled Static Var Compensator },
journal = { International Journal of Computer Applications },
issue_date = { September 2012 },
volume = { 53 },
number = { 9 },
month = { September },
year = { 2012 },
issn = { 0975-8887 },
pages = { 21-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume53/number9/8449-2243/ },
doi = { 10.5120/8449-2243 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:53:41.144780+05:30
%A Amit Garg
%A Sanjai Kumar Agarwal
%T Dynamic Stability Enhancement of Power Transmission System Using Artificial Neural Network Controlled Static Var Compensator
%J International Journal of Computer Applications
%@ 0975-8887
%V 53
%N 9
%P 21-29
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Voltage level of the system changes at the time of fault and the drop in the load voltage leads to an increased demand for the reactive power that, if not met by the power system leads to a further decline in the bus voltage. This decline eventually leads to a progressive rapid decline of voltage at that location, which may have a cascading effect on neighboring regions that causes voltage collapse. In this paper, In order to maintain system stability after faults, the transmission line is shunt compensated at its center by a 200-Mvar Static Var Compenstor (SVC) in Matlab/Simulink. SVC are used to maintain the voltage with in the limits. SVC will either supply the reactive power or extract the reactive power. An Artificial Neural Network (ANN) is also developed with a systematic step-by-step procedure which optimizes a criterion commonly known as the learning rule. The input/output training data is fundamental for these networks as it conveys the information which is necessary to discover the optimal operating point. It is shown that trained Neural Network developed has excellent capabilities of forecasting which can be very useful in research.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Artificial Neural Network (ANN) Dynamic Performance FACTs Matlab/Simulink Transient Stability