Transient performance improvement of power system by optimal design of SVC controller employing genetic algorithm

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

With the increase of loading of long transmission line, transient stability of power system on the occurrence of a fault become one of the major concern for power engineers. Instability problem of power system on occurrence of the fault can be solved with the use of Static VAR Compensator (SVC) controller. Assessing the transient stability of a large inter connected power network very much nonlinear and tremendously complicated. To mitigate this complication and nonlinearity, a substantial research with SVC controller has been done in the power industry. To improve the system stability for dynamic and transient disturbances SVC plays a very important role, which is a shunt connected FACTS devices. In this work, genetic algorithm based optimal design of SVC controller to improve the transient performance of power system is proposed. The parameters of the damping controller by optimal selection of damping ratio of the critical eigenvalue employing genetic algorithm are tuned. The effectiveness of the developed optimal controller is investigated by simulating different abnormal conditions of a single machine infinite bus (SMIB) system using MATLAB based PST.

Original languageEnglish
Title of host publication8th International Conference on Electrical and Computer Engineering
Subtitle of host publicationAdvancing Technology for a Better Tomorrow, ICECE 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages540-543
Number of pages4
ISBN (Electronic)9781479941667
DOIs
StatePublished - 28 Jan 2015

Publication series

Name8th International Conference on Electrical and Computer Engineering: Advancing Technology for a Better Tomorrow, ICECE 2014

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

  • Controller
  • FACTS
  • GA
  • PST
  • SMIB
  • SVC

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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