Advanced technique for optimal allocation of static var compensators in large-scale interconnected networks

  • M. Taleb*
  • , A. Salem
  • , A. Ayman
  • , M. A. Azma
  • , M. A. Abido
  • *Corresponding author for this work

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

5 Scopus citations

Abstract

Flexible AC Transmission Systems (FACTS) are recently employed to overcome the power system stability challenges. Optimal number, device location, and setting parameters of FACTS devices in large-Scale Interconnected Networks (LSIN) are considered a complex multi-objective requirement. In this paper, an advanced technique for optimal numbering, location, and sizing of Static-VAR Compensator (SVC) in LSIN is developed. The technique utilizes a line stability index for optimal numbering and location of the SVC. The optimal sizing is achieved via Cuckoo Search (CS) heuristic optimization technique. The proposed technique is applied to an IEEE-57 bus system in case of outage of line 50 and IEEE-39 bus system with penetration of wind energy generation. The simulation work, of the proposed technique applied to the two different networks, is implemented within Matlab™ program. The proposed technique enhances the voltage profile, system stability and reduces the overall power losses as per the study cases. The results obtained show the effectiveness of the proposed technique to be utilized for LSIN.

Original languageEnglish
Title of host publicationProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages73-78
Number of pages6
ISBN (Electronic)9781538611272
DOIs
StatePublished - 15 Dec 2017

Publication series

NameProceedings IECON 2017 - 43rd Annual Conference of the IEEE Industrial Electronics Society
Volume2017-January

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

  • Active power loss minimization
  • Optimal allocation
  • SVC
  • Voltage profile

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Control and Optimization
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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